I’m an aspiring Data Scientist passionate about transforming raw data into actionable insights. Skilled in Python, SQL, Statistics, Machine Learning, NLP, Excel, and Power BI, I enjoy solving real-world problems using data-driven approaches.
Currently, I am focusing on strengthening my expertise in Python programming, database management, and business intelligence tools.
- Collected and cleaned Twitter data, removing noise like URLs, mentions, and emojis.
- Performed NLP preprocessing and applied machine learning models for sentiment classification.
- Visualized insights using word clouds, bar charts, and sentiment distribution graphs.
- Built ML model to predict heart disease using patient clinical data.
- Preprocessed data, performed EDA, and trained classification models.
- Achieved 98% accuracy; aids early detection of high-risk patients.
- Analyzed student exam performance data to find key influencing factors.
- Conducted statistical analysis and visualizations using Matplotlib & Seaborn.
- Insights help in improving academic outcomes and identifying trends.
- Tracked price fluctuations in grocery & FMCG product categories.
- Conducted EDA to identify trends, seasonality, and pricing patterns.
- Supports market research, competitive analysis, and retail strategy decisions.
I’m open to collaboration and data-driven projects. Feel free to reach out:
- 📧 Email: [email protected]
- 💼 LinkedIn: Deepak Kumar
- 🌐 GitHub: Deepak Kumar