Industrial Engineering and Operations Research
Indian Institute of Technology Bombay
Personal Details
M.Tech (2023-2025)
Roll No: 23M1529
Gender: Male
Contact
Email: alwaysbemin2@gmail.com
Connect on LinkedIn
GitHub
Portfolio
Academic Background
| Examination | University | Institute | Year | CPI/% |
|---|---|---|---|---|
| Post Graduation | IIT Bombay | IIT Bombay | 2023-2025 | 8.55 |
| Graduation | Barkatullah University | BUIT | 2015-2019 | 7.5 |
| Intermediate/+2 | D.A.V Public School | D.A.V Public School | 2013-2015 | 8.8 |
M.Tech Research
- Medical Prescription Generation (Master's Thesis) | Prof. P. Balamurugan, IIT Bombay
- Developed a custom NER model to extract Proteinuria, Creatinine, GFR, and Age from RCT literature on IgA Nephropathy.
- Fine-tuned BioBERT and BART with Iterative, Direct, and Bootstrap Fine-Tuning, achieving 0.995 and 0.953 accuracy, respectively.
- Implemented a research paper ranking system using a scoring algorithm to retrieve relevant studies based on patient parameters.
- Evaluated search effectiveness using NDCG metric, achieving 0.9789, outperforming Google (0.9116) and PubMed (0.9322).
- Modified Particle Swarm Optimization (Seminar) | Prof. Jayendran Venkateswaran, IIT Bombay
- Developed MPSO optimization algorithm, achieving up to 42% faster convergence compared to standard PSO technique.
- Tested on 14 benchmark functions, showing up to 35% accuracy improvement in 11/14 evaluations on various datasets.
- Conducted statistical analysis, confirming the significance of improvements with a p-value 0.05 using hypothesis testing.
Technical Projects
- Dynamic Pricing for Ride-Sharing Services
- Developed a dynamic pricing strategy that adjusts ride costs based on real-time demand and supply levels in data.
- Implemented a pricing model with demand and supply multipliers to adjust prices for sudden demand and supply fluctuations.
- Designed a dynamic web platform to predict ride-sharing prices using a well-trained Random Forest regression model.
- Facial Recognition Attendance System
- Developed a facial recognition-based attendance system using OpenCV and KNN, fine-tuning ResNet to achieve 95% accuracy.
- Implemented real-time attendance tracking with liveness detection and instant verification, handling up to 100 images/user.
- Designed and integrated a scalable web tool for attendance visualization with secure access control and exportable reports.
- Mortgage Default Prediction
- Conducted exploratory data analysis and feature selection using Extra Tree Classifier to extract top 10 crucial features.
- Applied SMOTE for oversampling, utilized PCA for dimensionality reduction, and compared LR, SVR, and XGBoost Regressor.
- Achieved AUC 0.83 and F1-Score 0.87 by XGBoost Regressor, significantly elevating risk management for banks and investors.
- Automated Financial Dashboard with SQL and Power BI
- Analyzed data using SQL queries and Power Query, seamlessly integrated SQL Server for advanced data transformations.
- Improved ETL processes by controlling SQL Server jobs, enabling smooth Excel integration and real-time synchronization.
- Enhanced financial dashboard functionality, streamlining data analysis and reporting for improved business insights.
- Passenger Traffic Forecasting for Airlines
- Applied Box-Cox transformation, conducted ADF and KPSS tests to verify dataset stationarity and consistency.
- Leveraged ARIMA, SARIMA, Holt-Winters, and ARMA methods, uncovering intricate complex patterns and seasonal trends.
- Achieved superior predictive accuracy with SARIMA, yielding metrics of 38.00 RMSE and 8.00 MAPE, ensuring reliability.
- Mumbai Airport Runway Simulation
- Simulated and optimized runway operations using AnyLogic, achieving 92.69% utilization and reducing waiting times.
- Undirected TSP Problem
- Solved the Traveling Salesman Problem using Pyomo for 25 cities in Maharashtra, optimizing routes with Integer Programming.
- Transfer Learning for Survival Analysis
- Implemented a transfer-Cox algorithm for cancer survival analysis, achieving a C-index of 0.5869.
Blog Posts
Technical Skills and Key Courses
- Key Courses:
- Machine Learning
- Engineering Statistics
- Deep Learning
- Mathematical Optimization Techniques
- Probability and Stochastic Processes
- Multivariate Data Analysis
- Languages and Tools: Python, SQL, Power BI
- Libraries: Pandas, NumPy, Matplotlib, PyTorch, Transformers, LangChain, OpenCV
- Additional Skills: PySpark, Excel, Git, Google Analytics, Simulation (AnyLogic), Optimization (AMPL, GLPK, CBC), Deep Learning (PyTorch, Transformers), OpenCV, Scikit-learn
Positions of Responsibility & Extracurricular Activities
- Deep Learning TA (IE 643): Mentored students to help with conceptual, technical, and implementation-related doubts.
- Sponsorship Coordinator (IEOR): Facilitated industry-student collaborations for technical projects and corporate ties.
- Interview Coordinator (IIT Bombay): Helped place 2000+ students, organized and managed assessment tests for 100+ firms.
- Teaching Assistant (Communication Skills): Mentored 100+ students in communication, presentations, and technical writing; guided research papers, PPTs, and Excel; conducted workshops, achieving a 20% skill improvement.
- Kaggle Rank: Achieved 6th rank in the IE 506 Machine Learning course competition, with an F1 score of 0.869 using XGBoost.
- Hobbies: Passionate about gym workouts, watching Marvel movies, exploring the latest tech gadgets, and discovering new cuisines.
Interests
- Teaching the next generation of data scientists
- Exploring the intersection of AI and real-world problems
- Writing blogs on Data Science and AI/ML
- Staying fit with gym workouts
- Analyzing Marvel movie plots