16 Pulp Jobs

Craste is a sustainability-driven startup focusing on converting crop residues into high-value products such as packaging materials and engineered boards. Our innovative solutions tackle environmental challenges like crop burning while empowering rural communities. Our mission is to establish a circular bioeconomy and drive impactful change. We are seeking an experienced and dynamic Project Engineer to oversee the installation, commissioning, and maintenance of our Agri Fiber Conversion Unit (AFCU). The ideal candidate should have hands-on experience in managing projects in pulp and paper plants or related industries. You will play a crucial role in ensuring the successful execution of this sustainable and transformative project. As a Project Engineer at Craste, your responsibilities will include managing the installation, commissioning, and start-up of the Agri Fiber Conversion Unit, ensuring timelines and quality standards are met. You will coordinate with cross-functional teams, contractors, and vendors to ensure seamless project execution. Additionally, you will oversee plant operations during the initial setup phase, troubleshoot technical issues related to machinery and equipment, monitor project progress, and collaborate with design and R&D teams to optimize plant efficiency. To qualify for this role, you should hold a Bachelor's degree in Mechanical, Chemical, Industrial, or related Engineering disciplines with 4-8 years of project management experience, preferably in pulp and paper plants or similar industries. A proven track record in managing installation and commissioning projects, strong knowledge of machinery and equipment in pulping and fiber processing, excellent problem-solving skills, and proficiency in project management tools like AutoCAD and MS Project are required. Preferred qualifications include hands-on experience with the installation and commissioning of pulp and paper plants or related facilities, as well as familiarity with sustainable and eco-friendly industrial practices. In return, Craste offers the opportunity to work on cutting-edge sustainable technologies, a dynamic and inclusive work environment, competitive salary and benefits, and the chance to make a meaningful impact on rural communities and the environment.,

As an Operations Research Scientist at Tredence, your main responsibilities will involve performing data analysis and interpretation. This includes analyzing large datasets to extract meaningful insights and using Python to process, visualize, and interpret data in a clear and actionable manner. Additionally, you will be tasked with developing and implementing mathematical models to address complex business problems, as well as improving operational efficiency. You should have the ability to use solvers like CPLEX, Gurobi, FICCO Xpress, and free solvers like Pulp and Pyomo. Applying optimization techniques and heuristic methods to devise effective solutions will be a key part of your role, along with designing and implementing algorithms to solve optimization problems. Testing and validating these algorithms to ensure accuracy and efficiency are also important tasks. Collaboration and communication are essential skills in this role, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver solutions. Presenting findings and recommendations to both technical and non-technical audiences will be part of your regular interactions. To qualify for this position, you should have a Bachelor's or Master's degree in operations research, applied mathematics, computer science, engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, as well as Pulp and Pyspark, is necessary. A strong background in mathematical modeling and optimization techniques, experience with heuristic methods and algorithm development, and the ability to analyze complex datasets and derive actionable insights are also important technical skills. Furthermore, excellent communication skills, both written and verbal, and the ability to work effectively both independently and as part of a team are essential soft skills for this role. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, and AIMMS, as well as familiarity with machine learning techniques and their applications in operations research. About Tredence: Tredence, founded in 2013, is dedicated to transforming data into actionable insights for over 50 Fortune 500 clients in various industries. With headquarters in San Jose and a presence in 5 countries, Tredence's mission is to be the world's most indispensable analytics partner. By blending deep domain expertise with advanced AI and data science, Tredence aims to drive unparalleled business value. Join Tredence on this innovative journey and contribute to the impactful work being done in the analytics field.,

As an Advanced Modeling Manager in Sales Excellence COE at Accenture, you play a vital role in utilizing your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools to generate business insights. Your primary responsibility is to build models and scorecards that aid business leaders in understanding trends and market drivers, ultimately improving processes and boosting sales. Working within the Center of Excellence (COE) Analytics Modeling Analysis team, you collaborate with various functions like Sales, Marketing, and Finance to collect and process data. Your analytical skills are put to use in developing insights to support decision-making, which you communicate effectively to stakeholders. Moreover, you contribute to developing industrialized solutions in coordination with the COE team. To excel in this role, you are expected to possess a Bachelor's degree or equivalent experience, along with at least five years of experience in data modeling and analysis. Your expertise in machine learning algorithms, SQL, R, or Python, along with proficiency in Advanced Excel and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio, is crucial. Additionally, project management experience, strong business acumen, and attention to detail are valued traits. Furthermore, a Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform (GCP) and BigQuery, and experience in Sales, Marketing, Pricing, Finance, or related fields are considered advantageous. Familiarity with Salesforce Einstein Analytics, optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX, and Power Apps is beneficial for this role. Join us at Accenture, where Sales Excellence thrives on empowering individuals to compete, win, and grow by leveraging data-driven insights and advanced modeling techniques to drive success.,

As a Sales Excellence - COE - Advanced Modeling Specialist at Accenture, you will be part of the team that empowers individuals to compete, win, and grow by providing the necessary tools to enhance client portfolios, optimize deals, and nurture sales talent through sales intelligence. In this role, you will utilize your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, Finance or related fields, familiarity with Salesforce Einstein Analytics, and understanding of optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar would be advantageous. Your responsibilities will include generating business insights to enhance processes, increase sales, and maximize profitability for Accenture. You will develop models and scorecards to aid business leaders in comprehending trends and market drivers, collaborating with operations teams to transform insights into user-friendly solutions, and managing tool access and monitoring usage. To excel in this role, you should have a Bachelor's degree or equivalent experience, exceptional English communication skills, a minimum of four years of experience in data modeling and analysis, proficiency in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools, project management experience, strong business acumen, and meticulous attention to detail. Furthermore, a sound understanding of sales processes and systems, prior experience with Google Cloud Platform (GCP) and BigQuery, working knowledge of Salesforce Einstein Analytics, familiarity with optimization techniques and packages, and experience with Power Apps would be beneficial. This position requires a minimum of 2 years of relevant experience and a Master's degree in Analytics or a similar field. Join us at Accenture, where we are committed to driving sales excellence and enabling you to leverage your analytical skills to make a meaningful impact.,

Role & responsibilities Responsible for Overall P&L, Growth of Paper Chemical Business Planning of marketing strategy, targets, volumes along with product and sales team Develop new avenues for sales outlets for consistant volume growth in domestic market Develop export markets for Paper chemicals by aligning principals or in own private label brand for OEMs Managing and collaborating with entire sales team, tracking sales data against targets and Lab trials, plant trials, trouble-shooting lost sales to achieve volume targets Provide special price approvals to sales team in discussion with pricing team., Customer visits and product trials along with sales team and principles wherever required or necessary Manage customer complaints and direct team for appropriate action Managing customer visits based on sales data, mapping business potential and NPD pipeline Timely tracking of new business development pipeline- starting from sample to order Continuous monitoring of competition products, prices and reporting to PLM Head for aggressive action New complimentary product identification, capability building and marketing campaigns New Market Identification, existing account expansion for process chemicals., Preferred candidate profile Experience: Minimum 08-12 Years in Paper Chemicals market and Technical Support Proficiency in English and Hindi is must along with strong communication skills Ability to work independently, timely execution of responsibilities and problem solving attitude is a MUST Past experience in Paper industry for chemicals as and paper mills experience in south, west region will be given strong preference Past experience in PAN-India and Global Paper chemical Technical sales & service will be given strong preference

As a Sales Excellence COE Advanced Modeling Manager at Accenture, you will be part of a team that empowers individuals to compete, win, and grow by providing the necessary tools to build client portfolios, optimize deals, and enhance sales talent through sales intelligence. Your role will involve utilizing machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, familiarity with Google Cloud Platform (GCP), BigQuery, Salesforce Einstein Analytics, and optimization techniques such as Pyomo, SciPy, PuLP, Gurobi, and CPLEX is beneficial. In this position, you will work within the Center of Excellence Analytics Modeling Analysis team to generate insights that support Accenture in enhancing processes, increasing sales, and maximizing profitability. Your responsibilities will include collecting and processing data from various functions, analyzing data to develop business insights, communicating these insights effectively, and collaborating with the team to create practical solutions. The ideal candidate should possess a Bachelor's degree or equivalent experience, excellent English communication skills, and a minimum of five years of experience in data modeling and analysis. Proficiency in project management, business acumen, and attention to detail are essential for success in this role. A Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform, experience in Sales, Marketing, Pricing, Finance, or related domains, familiarity with Salesforce Einstein Analytics, and expertise in optimization techniques and packages are additional qualifications that would be advantageous. Join us at Accenture and be part of a dynamic team that is dedicated to enabling sales excellence and driving growth.,

Job Title: Data Scientist - Optimization About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a Data Scientist with deep expertise in optimization and applied operations research to help solve complex scheduling, resource allocation, and flow optimization problems across large-scale operational environments. The ideal candidate will combine mathematical modeling skills with core data science capabilities to design and implement solutions that are both analytically rigorous and practically impactful. Key Responsibilities: Design and build optimization models to support decision-making in scheduling, batch movement, or network planning Translate real-world business rules and constraints into mathematical formulations Develop and test optimization algorithms using solvers such as Gurobi, CPLEX, or Google OR-Tools Work with historical and real-time data to validate and tune models Collaborate with engineering, product, and business teams to integrate models into production environments Present insights and trade-offs to both technical and non-technical stakeholders Required Skills & Experience: 5+ years of experience in data science, with strong focus on optimization or operations research Proficient in Python, relevant libraries and tools: Optimization : Pyomo, PuLP, OR-Tools, cvxpy Data Science : pandas, NumPy, scikit-learn, matplotlib/seaborn Tools : Gurobi: CPLEX, or Google OR-Tools Hands-on experience with linear programming, mixed integer programming, or constraint programming Ability to structure, clean, and analyze complex datasets Strong communication skills for explaining technical models to diverse audiences Preferred (Nice to Have): Experience working on scheduling, routing, or supply chain optimization problems Exposure to forecasting models or simulation-based decision support Familiarity with deploying models into production environments or building APIs for model consumption Background in applied mathematics, industrial engineering, computer science, or related fields

Role & responsibilities Company : RSPL Group is more than 6,000 Cr diversified conglomerate, which is committed to value for money propositions & credited with several innovations over last 3 decades. The sagacity to weave its business around consumer needs has conferred RSPL Group with a distinct value and identity. Efficient capital structure, cutting edge technology, operational discipline and a widespread distribution network, have together attributed to enhance RSPL Group and enabled the organization to deliver value to consumers. Diversified Group having product category in FMCG, Dairy Products, Hygiene Care, Foot wear, Real Estate, Renewable Energy. Diversified Group Segment 1 - S&D vertical: Ghari detergent and cake, Machine wash, Venus soap and Glori. Segment 2 Namaste India Foods Pvt. Ltd- Full-fledged dairy products range: milk, ghee, curd, ice cream, butter, masala Chach, dairy whitener etc. Leayan Global Pvt. Ltd.- Leather shoes & apparels (Red Chief) and Sport shoes & apparels (Furo) Segment 3 - HCD vertical: Proease Sanitary Napkin, Xpert Utensil cleaning range (Bar/Scrubber/Liquid/sponges), Uniwash detergent powder (Mid premium detergent), Lovingle Baby diaper. About HCD (Approx. 1300 CR to the group) HCD is into Hygiene, Utensil and Laundry care division. It has five manufacturing units in India and two in Bangladesh & now in Nepal also. We have the business in some parts of Ethiopia & Dubai as well.Product segments of RSPL ltd. for international markets are taken care by HCD division. Job Responsibilities: 1) Lead overall raw materials, product lab tests process and the present the results in a right format and time. 2) Perform the validation tests for new test methods. 3) Regularly evaluate market samples and maintain proper records for the same. 4) Responsible for the preventive maintenance, calibration and proper functioning of the lab equipment. 5) Document knowledge, make the clear report and maintain the security of the result as required by RSPL policy. 6) Maintain expertise in at least one area of the company's technology as a Researcher for Feminine Care products. 7) Skillful handling of critical lab test equipment especially for those of Sanitary Napkin testing and evaluation. 8) Experience into pulp, paper & Non- woven. Job Location- Kasna Industrial Area, Greater Noida Office Timings- 09:30 am to 06:00 pm 2nd & 4th Saturday are off. This position is for Hygiene Care Division. Recruiter Name : Nancy Goyal

Plant Head required for a MNC from paper industry Qualification- Any mechanical Exp- min 12 yrs in kraft paper, core board, thermal paper Salary- 12 lacs to 17 lacs Location- Vapi,(gujrat), Aurangabad (Maharastra)

We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities Lead and contribute to internal optimization-focused data science projects from design to deployment. Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. Collaborate with business stakeholders to gather requirements and translate them into data science use cases. Build robust data pipelines and use statistical and machine learning methods to drive insights. Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. Minimum 8 years of relevant experience in data science, with a strong focus on optimization. Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. Experience with end-to-end lifecycle of internal optimization projects. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Preferred Qualifications Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. Familiarity with dashboards and visualization tools like Power BI or Tableau. Prior experience in consulting or internal centers of excellence (CoE) is a plus. Additional Notes This is a contractual/project-based role and not a permanent/full-time position. Compensation will be finalized post-interview, based on mutual agreement and project scope. The project may be divided into phases, with compensation linked to successful milestone completion. Skills: data science , communication , mentoring , optimization , metaheuristic algorithms,sql,linear programming,data pipelines,python,machine learning,mathematical optimization,mixed-integer programming,operations research,statistical methods,heuristic algorithms

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Preferred candidate profile : Experience or Education in Pulp , Paper and Cellulose Technology Experience Role & responsibilities Company : RSPL Group is more than 6,000 Cr diversified conglomerate, which is committed to value for money propositions & credited with several innovations over last 3 decades. The sagacity to weave its business around consumer needs has conferred RSPL Group with a distinct value and identity. Efficient capital structure, cutting edge technology, operational discipline and a widespread distribution network, have together attributed to enhance RSPL Group and enabled the organization to deliver value to consumers. Diversified Group having product category in FMCG, Dairy Products, Hygiene Care, Foot wear, Real Estate, Renewable Energy. This position belongs to HCD Vertical Job Responsibilities: 1) Lead overall raw materials, product lab tests process and the present the results in a right format and time. 2) Perform the validation tests for new test methods. 3) Regularly evaluate market samples and maintain proper records for the same. 4) Responsible for the preventive maintenance, calibration and proper functioning of the lab equipment. 5) Document knowledge, make the clear report and maintain the security of the result as required by RSPL policy. 6) Maintain expertise in at least one area of the company's technology as a Researcher for Feminine Care products. 7) Skillful handling of critical lab test equipment especially for those of Sanitary Napkin testing and evaluation. 8) Experience into pulp, paper & Non- woven. Number of positions : 5 This position belongs to HCD Vertical. Job Location- Kasna Industrial Area, Greater Noida Office Timings- 09:30 am to 06:00 pm 2nd & 4th Saturday are off. 1)We need Fresher Candidates M. Sc. (Cellulose & Paper Technology) 2)We need any Post Graduate candidates with experience of 2 to 3 Years into pulp, paper and non woven. (Can consider textile industry experience as well) Contact HR: Ms. Nancy Goyal Email- nancy.goyal@rsplgroup.com

Job Description Responsible for all P&P service business in India Managing the local P&P service team Responsible for ATPL Pulp Service and Paper Service P&L Annual financial planning and budgeting & forecasting Sales and Customer service management Service business strategy development Local service business operations and projects Monthly market reporting Relevant bachelors or masters degree Years of experience in P&P industry; Deep understanding of P&P processes and mill operations Established connections within the P&P industry, especially, for key industry players Strong communication skills in English Leadership skills and experience on working in a matrix organization P&P Service field business experience Experience in managing P&L Experience in managing a team Regards HR

Role & responsibilities Handle pulp mill operations during the shift, ensuring consistent pulp quality as per defined parameters. Monitor production metrics and provide data-driven insights for manufacturing decisions. Coordinate with maintenance teams to ensure timely servicing and minimize equipment downtime. Maintain accurate shift logs and documentation of operational activities. Ensure adherence to safety, quality, and environmental standards in the plant. Collaborate with cross-functional teams for smooth operations and process improvements. Implement TQM practices and ensure SAP entries are updated in real-time. Guide and supervise shift staff, ensuring efficient task execution and team discipline.

Hi, We Have Job opportunity with Leading Food Processed Company for Export Sales manager(Processed fruits), Guntur Location. Position: Export Sales Manager(Processed fruits) Location: Guntur Department: Sales General Description The Export Sales Manager is responsible for developing and executing export sales strategies to expand the company's presence in international markets. This role involves managing relationships with global clients, overseeing export operations, ensuring compliance with trade regulations, internal SOPs and achieving revenue targets. The Export Sales Manager will also lead a team and coordinate with other departments to ensure smooth sales operations. Roles & Responsibilities 1. Business Development & Sales Growth: • Develop and implement strategic sales plans to drive export growth. • Identify new business opportunities in international markets. • Build and maintain strong relationships with key buyers and agents. • Lead negotiations for contracts, pricing, and long-term agreements. • Conduct market research to understand industry trends, customer preferences, and competitor activities. 2. Client Relationship Management • Serve as the primary point of contact for international clients. • Provide excellent customer service and resolve issues efficiently. • Ensure strong after-sales support and customer satisfaction. • Organize and attend international trade fairs, exhibitions, and networking events. 3. Export Operations: • Ensure compliance with international trade laws, tariffs, and export regulations. • Coordinate with freight forwarders and customs brokers for seamless deliveries. • Work closely with marketing, logistics, and finance departments to ensure alignment. 4. Financial & Reporting Responsibilities • Monitor sales performance and profitability of export markets. • Provide regular sales reports, forecasts, and market insights to senior management. • Analyse pricing strategies and adjust based on market conditions. If interested, kindly send your updated resume on whatsapp @ 7015954549 with the below details 1. Current CTC: 2. Expected CTC: 3. Notice Period: 4. Current Location: 5. Preferred Location: 6. Total Experience: 7. Relevant Experience in Sales: 8. Relevant Experience in Export Operations: 8. Relevant Experience in Processed Fruits: 9. Relevant Experience in F&V: 10. Current company: 11. Qualification: 12. Reason for change: Regards Shweta Gupta shweta@avaniconsulting.com