👨🎓 About Me
- 🏢 Currently, I am working at Genie Bazaar as an AI ML Engineer
- 📖 Completed Masters in Mathematics & Computing from @ IIT ISM DHANBAD
- 🔬 My focus on Computer Vision & LLMs
- 🖥️ Currently working on Chatbot
- 🌱 Exploring Data Science, Machine Learning, and NLP fields
I am Debasish Das, a recent Master of Science (M.Sc.) graduate in Mathematics and Computing from IIT (ISM) Dhanbad. My passion for Data Science ignited during my 12th grade, and since then, I have found it to be the most fascinating sector in the digital landscape. The ability to transform unused data into actionable insights for businesses is truly captivating to me. In today’s world, data is a powerful tool, and I believe Data Science is at the forefront of shaping the future of technology by driving innovation and creating new opportunities.
I have recently qualified the GATE DA (Data Science and Artificial Intelligence) exam in 2025, further strengthening my foundation in the field. Currently, I am working as an AI/ML Engineer at Genie Bazaar Company, where I apply my knowledge and skills to develop intelligent solutions that drive business growth.
| Project | Description | Link |
|---|---|---|
| Protecting Women from Safety Threats Using Computer Vision | AI-powered system using YOLO, MediaPipe & Transformers to detect public safety threats—hotspots, gender ratios, emotions—and auto-trigger SOS alerts. | GitHub |
| SageMaker Flight Prediction | Flight price forecast solution built on AWS SageMaker—a helpful tool for travelers and analysts. | GitHub |
| Credit Risk ML Model | Classification model predicting credit approval likelihood—key for financial risk analytics. | GitHub |
| Spam Email Classifier | Text-classification system using Naive Bayes to detect spam emails (includes data cleaning, feature engineering & deployment). | GitHub |
| Hybrid Recommendation System | End-to-end hybrid recommender pipeline: data ingestion, preprocessing, and recommendation logic. | GitHub |
| Platform | Link |
|---|---|
| iamdebasishdas123@gmail.com | |
| Resume | View My Resume |
| Portfolio | Visit My Portfolio |
| Connect on LinkedIn | |
| Blog | Medium Blog |
| Kaggle | Kaggle |
For more details about my work and experience, check out my resume, explore my portfolio, or connect with me on LinkedIn!
- Programming Languages: Python, C, Data Structures and Algorithms (DSA)
- Libraries: NumPy, Pandas, Scikit-Learn, Seaborn, Matplotlib, TensorFlow, Keras
- Machine Learning: Regression, Classification, Clustering, Hyperparameter Tuning
- Deep Learning: CNN, ANN, RNN, LSTM, GRU
- Data Analysis: SQL, Excel, Power BI, EDA
- Tools: Git, GitHub, Streamlit, Jupyter