I am an Aspiring Data Scientist specializing in Python, Power BI, and Advanced Machine Learning (ML/RL, NLP, DL) with 6 months of professional internship experience.
My core strength is bridging advanced Data Engineering (Kafka, StarRocks, Hadoop) with actionable analytics. I deliver quantifiable results, including a 76% reduction in missed calls and 75% automation of manual ETL workflows. I am dedicated to turning academic knowledge into production-ready solutions.
| Category | Tools & Libraries |
|---|---|
| Data Science / ML | Python, Reinforcement Learning (RL), NLP, Computer Vision (CV), Deep Learning (DL), Scikit-learn, CNN, KNN, NLTK |
| Data Engineering | Kafka, Debezium (CDC), StarRocks (OLAP), Apache Spark, Hadoop, AWS (Athena, RDS), MySQL, Docker, Databricks |
| BI & Theory | Power BI (DAX, Power Query/M), Tableau, Research Methodologies, Cloud Computing (Theory), SQL |
| Project | Core Technical Skills | Practical Impact / Business Outcome | Repository |
|---|---|---|---|
| Sentiment Analysis for Brand Monitoring | Python, NLP, Scikit-learn, Pandas | Trained classification model on a 1.6M row dataset to provide real-time brand health monitoring and actionable competitive intelligence. | View Repo |
| Stock Market Analysis & Insights | Python, Pandas, yFinance, Time Series | Built a complete financial data workflow to calculate and visualize key metrics (volatility, returns) from external APIs for predictive scoping. | View Repo |
| Airline Fleet Analysis Dashboard | Power BI (DAX, M), Data Modeling | High-utility dashboard developed to support strategic CAPEX decisions by modeling acquisition costs and future fleet composition. | View Repo |
| Shopping Trend Analytics Dashboard | Power BI, Power Query (M), Retail Analytics | Dashboard delivering customer segmentation and insights on purchase behavior to optimize marketing budgets and regional pricing. | View Repo |
- LinkedIn: www.linkedin.com/in/mittal-chauhan
- Email: mittalchauhan2903@gmail.com
