Building production-ready applications, data platforms, analytics solutions, and intelligent systems.

• 🎓 B.Tech student at National Institute of Technology Agartala
• 💻 Interested in Software Engineering, Data Engineering, Analytics & AI/ML
• 🚀 I enjoy building end-to-end, production-oriented projects
• 📊 Working with data pipelines, lakehouse architectures, analytics dashboards, and ML systems
• 🤖 Exploring Generative AI, LLM-powered applications, and intelligent automation
• ⚙️ Learning more about System Design, Cloud, CI/CD, and scalable software development
• 🤝 Open to Software, Data, Analytics, AI/ML, Internship, and Open Source opportunities

An end-to-end Data Engineering & Analytics Lakehouse implementing a production-oriented Medallion Architecture.

• 🏗️ Designed a complete Bronze → Silver → Gold Medallion Architecture
• ⚡ Built distributed ETL pipelines using Apache Spark & PySpark
• 🗃️ Implemented reliable Lakehouse storage using Delta Lake
• 🔐 Integrated Unity Catalog for data organization and governance
• 🔄 Built automated pipeline orchestration using Databricks Jobs
• 🧪 Implemented automated data-quality validation
• 📊 Created an interactive Databricks SQL analytics dashboard
• ⚙️ Implemented deployment-as-code using Databricks Declarative Automation Bundles
• 🚀 Used Databricks CLI for reproducible validation, deployment, and execution

Tech Stack

Databricks • Apache Spark • PySpark • Spark SQL • Delta Lake • Unity Catalog • Databricks SQL • Python • Git

An end-to-end financial analytics and business intelligence project for analyzing loan portfolio performance and borrower risk.

• 📊 Built an interactive Power BI dashboard
• 📈 Developed business KPIs using DAX
• 🔄 Performed data transformation using Power Query
• 🧩 Created a structured data model for analytical reporting
• 💰 Analyzed funded amounts, repayments, and loan performance
• ⚠️ Compared Good vs Bad Loans
• 📉 Analyzed borrower and lending risk patterns
• 📋 Built Summary, Overview, and Details dashboard views

Tech Stack

Power BI • DAX • Power Query • SQL • Data Modeling • Data Visualization

A machine-learning project focused on applying deep learning to predictive modeling and time-series data.

• 🧠 Developed a deep-learning prediction pipeline
• 📊 Performed data preprocessing and transformation
• 🔢 Used Python-based numerical and data-analysis libraries
• 🤖 Applied neural-network-based predictive modeling
• 📈 Worked with historical data for model training and prediction
• 🔄 Built an end-to-end workflow from preprocessing to inference

Tech Stack

Python • Deep Learning • TensorFlow/Keras • Pandas • NumPy • Scikit-learn

A modern, content-focused web application built using the Next.js ecosystem.

• ⚛️ Built with Next.js & React
• 📝 Implemented content using MDX
• 📚 Created structured content pipelines with Velite
• 🔍 Implemented SEO optimization
• 🖼️ Added dynamic Open Graph image support
• 🧩 Built reusable UI components
• 📱 Developed responsive layouts for multiple screen sizes

Tech Stack

Next.js • React • JavaScript • MDX • Velite • Shadcn/UI

Python • C++ • JavaScript • TypeScript • HTML • CSS

React • Next.js • Node.js • Express.js • Flask • Django

Databricks • Apache Spark • PySpark • Spark SQL • Delta Lake • SQL • Power BI • DAX • Pandas • NumPy

Machine Learning • Deep Learning • PyTorch • TensorFlow • Scikit-learn • Generative AI • LLMs

MySQL • PostgreSQL • MongoDB

Git • GitHub • Docker • VS Code • Postman • Databricks CLI

Software Engineering
│
├── Full-Stack Web Development
├── REST APIs & Backend Systems
├── Production Deployment
└── CI/CD & Developer Workflows


Data Engineering & Analytics
│
├── ETL / ELT Pipelines
├── Apache Spark & PySpark
├── Lakehouse Architecture
├── Data Modeling
├── Business Intelligence
└── Data Visualization


Artificial Intelligence
│
├── Machine Learning
├── Deep Learning
├── LLM Applications
├── Generative AI
└── Intelligent Automation

I'm currently focused on strengthening my experience across:

• 🚀 Production-grade Software Engineering
• 🏗️ Modern Data Engineering & Lakehouse Architectures
• 📊 Data Analytics & Business Intelligence
• 🤖 Machine Learning & Generative AI
• ☁️ Cloud-native development and deployment
• ⚙️ CI/CD & DevOps workflows
• 🌐 Open-source software development

My goal is to work at the intersection of Software, Data, and AI, building scalable systems that transform data and intelligent models into useful real-world products.

Software • Data • AI

Building systems. Engineering data. Creating intelligent products.