Senior Data Scientist with experience in delivering valuable insights from large datasets using advanced data-driven methods. Proficient at creating data regression models, Predictive analytics models with machine learning, and statistical modeling algorithms to identify the key Parameters from multiple data sources. Proficient in building a Visualization chart and dashboard using Python and Tableau.
You will learn from an industry expert with many practical examples and projects. I encourage my students to participate in online hackathons and Kaggle competitions.
Key KPIs:
1. Doubt clearing session
2. Online Hackathon and Kaggle profile building
3. Help to Build a strong Github Profile
4. Interview Preparation for Data Science and Python.
5. Quizzes and Assessment.
6. Project in every topic covered
7. Capstone Project (Industry Relevant)
8. How to deploy a Machine Learning model in Production.
9. Deep Learning with Pytorch
10. Natural Language Processing (SOTA Model)
10. Azure ML
11. Streamlit
12. Heroku
13. Docker, CI/CD
14.Generative AI
15. Question Answering on Structured Data using Langchain and LLMs
Topics Covered :
1. Basic Match and Stats for Data Science
2. Data Visualization and analysis
3. Machine Learning Algorithms ( Basic to Advance )
4. Time Series Forecasting
5. NLP ( Basic to Advanced)
6. Deep Learning ( Basic to Advanced)
7. Regression Analysis in Depth
8. Anomaly Detection
9. MLOps Techniques
10.Cloud based Solution (Azure)
11. Generative AI
12. Time Seris Forecasting
Sample Projects :
1. Telecom Churn Case Study
2. Credit card default Prediction
3. Sentiment Analysis using NLP
4. Build a contextual search engine from scratch using NLP, Python, and Elasticsearch.
5. Build a QA, NER Model using BERT (Advanced NLP)
6. Image Recognition using Deep Learning
7. Service Contract Analytics
8. IOT Data Analysis and discover relevant KPIs.
9. ChatGPT
10.Suspect Claim Analytics
11.Generative AI Based Projects using LLMs
12. RAG
Subjects
-
Python Beginner-Expert
-
Machine Learning Beginner-Expert
-
Data Science Beginner-Expert
-
Deep Learning Beginner-Expert
-
Natural Language Processing Beginner-Expert
Experience
-
Data Science Trainer (Aug, 2019
–Present) at Self-employed, Kolkata
Data Science Trainer
-
Data Scientist (Dec, 2018
–Present) at Industry (MNC)
1. Data Scientist
2. Predictive Analytics
3. Production Deployment
4. Machine Learning
5. Data Visualisation with Tableau.
6. ElasticSearch with Python
7. Natural Language Processing
8. Deep Learning
-
Software Developer (Jul, 2014
–Nov, 2018) at Industry (MNC)
1. Production Automation
2. Application Development with Python
3. Data Analysis with SQL
4. Automation of Manual Task using UNIX Shell Script
Education
-
Post Graduate Diploma in Data Science (Oct, 2018–Sep, 2019) from International Institute of Information Technology Bangalore–scored 3.8/4
-
B TECH (Jul, 2009–Aug, 2013) from MAKAUT, KOLKATA