• 🎓 Undergrad: Computer Science & Engineering at BRAC University, Dhaka
• 💼 Industry Experience: Data Specialist Intern at DataSynthis (Focusing on data validation, auditing, and high-throughput processing pipelines)
• 🔬 Core Focus: Applied Machine Learning, Exploratory Data Analysis, Relational Database Architecture, and Full-Stack System Design
• 🌍 Trajectory: Preparing for Applied Computer Science & Artificial Intelligence graduate studies in Europe 🇪🇺

Data Science & AI:

Databases & Backend:

Web Technologies & Languages:

Tools & Infrastructure:

A production-ready, full-stack EdTech platform unifying curriculum delivery, AI tutoring assistance, batch management, and automated subscription tracking.

• 🎓 Comprehensive Learning Hub: Features interactive student progress tracking, timestamped lecture streaming, resource hubs, and personal study tools.
• 🤖 Integrated AI Assistant: Built-in conversational tutor designed to field student questions regarding complex scientific theories, formulas, and concepts.
• 🛠️ Administrative Suite: Streamlined console for student onboarding, batch scheduling, curriculum sequencing, and role-based access management.
• 🏗️ Modern Architecture & Cloud Deployment: Engineered using Next.js, FastAPI, Python, SQLAlchemy, and Neon PostgreSQL, deployed seamlessly across Vercel and Render.

An end-to-end classification pipeline trained on real-world professional profiles to forecast and analyze career transitions.

• Data Hygiene & Engineering: Executed rigorous missing-value imputations, multi-strategy categorical encoding, and feature scaling (StandardScaler).
• Class Imbalance Optimization: Tackled skew using class-weight tuning, prioritizing robust Precision-Recall metrics and ROC-AUC over baseline accuracy.
• Comparative Benchmarking: Evaluated Logistic Regression, optimized K-Nearest Neighbors (KNN), and Multilayer Perceptrons (MLPs).
• Rigorous Validation: Deployed Stratified 5-Fold Cross-Validation alongside unsupervised K-Means clustering to verify generalization.

A centralized database management web application built to streamline utility allocation and eradicate legacy billing errors.

• Relational Architecture: Designed robust conceptual ER/EER models fully normalized to 3rd Normal Form (3NF) to ensure zero redundancy and eliminate transitive dependencies.
• Financial Ledger & Security: Developed secure backend transaction pathways preventing double-billing and supporting real-time wallet updates.
• Interactive Data Visualizations: Utilized SQL aggregation pipelines paired with Chart.js to display longitudinal 6-month historical power consumption trends.

• 🏅 Python Essentials 1 — Cisco Networking Academy / OpenEDG (Verify Credly Badge)
• 🏅 Introduction to Data Science — Cisco Networking Academy (Verify Credly Badge)