Professional Portfolio Websites: Portfolio; Linkedin; Google Scholar
| Bachelor's Courses | Master's Courses |
|---|---|
| Machine Learning (Linear Regression, Logistic Regression, LSTM, RNN, GRU, ANN, XGBoost, Random Forest, Fuzzy) | Reinforcement Learning (Q-learning, SARSA, TD(Lambda), Monte Carlo, Policy Based, PPO) |
| Deep Learning (MLPs, GAN, RNN, PyTorch, Tensorflow) | Database Management Systems (DBMS, MySQL) |
| Pattern Recognition (Bayesian classification, kNN, SVM, Decision Trees, Graph-Based algorithms, CNN, Autoencoders) | Big Data (HPC, Kubernetes, Borg, Google PageRank, Hadoop, YARN, PySpark, Web Graph, ADMM) |
| Bio Inspired Algorithms (PSO, ACO, ABC) | Data Analysis (Statistics & ML - R, Python) |
| Data Structures & Algorithms – Basic (C, Python) | Data Structures & Algorithms – Advanced (Java, Python) |
- Agent Based Market Simulation: AHMAPPO + LLM
- PersonaGameAI: The Adaptive PlayStyle Engine
- ForecastOps: AI Powered Cloud Capacity Planner and Dashboard
- InboxShield ML: Email Spam Classifier
- FraudShield-ML: Credit Fraud Detection
- MovieVerse: Movie Database System Relational Schema & SQL Engine
- NYC Crime Classification Using Machine Learning
- Income Prediction Using Statistical Learning
- ScaleMap: MapReduce Prototype in HPC for Big Data (SLURM + Python)

- Google PageRank Implementation using MPI4Py in HPC for Big Data

- ADMM-Logistic: Scalable Logistic Regression for HPC (Big Data)

- Persona Extraction from JIRA Exports
- Large-Scale Distributed Time Series Forecasting for Retail Inventory Management Using Big Data (GCP, PySpark)

- Agentic AI Orchestrator: Multi-Agent System for Real-Time Travel Itinerary Planner
- Octane JIRA Mapping
- End to End Machine Learning Project with Deployment
- End to End MLOps Project with MLflow, Docker, and CI/CD
- FinTrack ML: Personal Financial Tracker
- Research Guide: MultiPDF RAG Agent
- RAGAI_ChatBot1: Local RAG-Based AI Agent with Ollama, LangChain, and Chroma
- Linear Regression (Scratch): California House Price Prediction
- Polynomial Regression (Scratch): Car Price Prediction
- Decision Tree Regressor (Scratch): Bike Sharing Demand Prediction
- Random Forest Regressor (Scratch): Energy Efficiency Prediction
- K-Nearest Neighbor (Scratch): Iris Classification
- Decision Tree Classifier (Scratch): Breast Cancer Classification
- Random Forest Classifier (Scratch): Bank Marketing
- K-Means Clustering (Scratch): Customer Segmentation
- Hierarchical Clustering (Agglomerative, Divisive) (Scratch): Customer Segmentation Online Retail Dataset
- Feedforward Neural Network (Scratch): Digit Classification
- ChatBot-JAVA (Hardcoded)

- Tic-Tac-Toe Game





