HCLTech is conducting Hackathon For Data Scientist- Chennai 23rd Aug

Attend Hackathon & Unlock your career Opportunity in HCLTech

Required Skills:

• Programming Languages

  : Strong proficiency in

  Python

  , with experience in

  SQL

  .

• Machine Learning

  : Hands-on experience with

  Scikit-learn

  ,

  TensorFlow

  ,

  Keras

  ,

  PyTorch

  , or similar ML libraries.

• Data Analysis

  : Strong skills in

  Pandas

  ,

  NumPy

  , and

  Matplotlib

  for data manipulation and analysis.

• Statistical Analysis

  : Experience applying statistical methods to data, including hypothesis testing and regression analysis.

• Cloud Platforms

  : Familiarity with

  AWS

  ,

  Azure

  , or

  Google Cloud

  for deploying models and using cloud-native data services (e.g.,

  AWS Sagemaker

  ,

  Azure ML

  ).

• Data Visualization

  : Experience using

  Tableau

  ,

  Power BI

  ,

  Matplotlib

  ,

  Seaborn

  , or

  Plotly

  for creating visualizations.

• SQL & Databases

  : Proficiency in

  SQL

  for querying relational databases and working with

  NoSQL

  databases (e.g.,

  MongoDB

  ,

  BigQuery

  ).

• Version Control

  : Experience using

  Git

  for version control.

Desirable Skills:

• Big Data Technologies

  : Familiarity with tools like

  Apache Hadoop

  ,

  Spark

  ,

  Dask

  , or

  Google BigQuery

  for processing large datasets.

• Deep Learning

  : Experience with deep learning frameworks such as

  TensorFlow

  ,

  PyTorch

  , or

  MXNet

  .

• NLP & Computer Vision

  : Experience with natural language processing (NLP) using

  spaCy

  ,

  NLTK

  , or

  transformers

  , and computer vision using

  OpenCV

  or

  TensorFlow

  .

• MLOps

  : Familiarity with MLOps tools like

  Kubeflow

  ,

  MLflow

  , or

  DVC

  for managing model workflows.

• Data Engineering

  : Experience with ETL tools like

  Apache Airflow

  ,

  Talend

  ,

  AWS Glue

  , or

  Google Dataflow

  for data pipeline automation.

Tools & Technologies:

• Machine Learning

  : Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost.

• Data Analysis

  : Pandas, NumPy, Matplotlib, Seaborn, Plotly.

• Cloud Platforms

  : AWS, Google Cloud, Azure.

• Databases

  : MySQL, PostgreSQL, MongoDB, BigQuery, Snowflake.

• Data Visualization

  : Tableau, Power BI, Matplotlib, Seaborn, Plotly.

• Version Control

  : Git

Location: