I'm a Master's student in Data Analytics Engineering at Northeastern University, passionate about building scalable data infrastructure and deploying intelligent systems. Currently seeking full-time opportunities in Data Engineering, Analytics, or MLOps (Available August 2025).

• 🔭 Currently working on GenAI applications and MLOps pipelines
• 🌱 Learning advanced cloud architectures and real-time data processing
• 👯 Looking to collaborate on open-source data engineering projects
• 💬 Ask me about data pipelines, ML deployment, and cloud infrastructure
• 📍 Based in Boston, MA | Open to relocate
• ⚡ Fun fact: I reduced documentation failures by 70% with a single API integration!

GenAI Chatbot with RAG Architecture

• Built using Mistral AI, LangChain, FAISS for intelligent document retrieval
• Orchestrated with Prefect, tracked with MLFlow, deployed on GCP Cloud Run
• Complete CI/CD pipeline with GitHub Actions and Docker
• Tech Stack: Python, Flask, Streamlit, GCP, Docker, MLflow

Advanced Analytics & Machine Learning

• Improved model accuracy by 80% through comprehensive data cleaning
• Implemented K-Means clustering for customer segmentation
• Delivered actionable marketing insights for targeted campaigns
• Tech Stack: Python, Pandas, Scikit-learn, Matplotlib

Database Design & Big Data Processing

• Designed scalable ERD models for complex supply chain management
• Implemented MongoDB MapReduce for large-scale data aggregation
• Created interactive crop visualization dashboards
• Tech Stack: MySQL, MongoDB, Python, Data Modeling

🔧 Data Engineer Co-op @ Bayer (June 2024 – Dec 2024)

• Developed centralized API for 50+ gRPC services using GoLang
• Reduced documentation failures by 70% through automation
• Deployed on GKE with Helm and implemented CI/CD with GitHub Actions

📈 Data Analytics Intern @ Brane Enterprises (Dec 2022 – June 2023)

• Built heart disease detection model with 90% accuracy
• Processed 10K+ ECG records with real-time data analysis
• Collaborated in Agile environments with cross-functional teams

• 🚀 Building scalable data pipelines for real-time processing
• 🤖 Exploring advanced GenAI applications and LLM optimization
• ☁️ Mastering cloud-native architectures and serverless computing
• 🔄 Contributing to open-source data engineering tools

• 🏆 Reduced manual processes by 60% through intelligent automation
• 📊 Improved model performance by 25% with advanced analytics
• 🔧 Successfully deployed production-ready MLOps pipelines
• 📈 Built dashboards serving enterprise-level data insights