nive2530

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Nivethini Senthilselvan nive2530

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Graduate Student @northeastern University | MPS in Applied Machine Intelligence | AI/ML Engineer | Data Analyst | Data Engineer

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nive2530/README.md

Hey 👋 I am Nivethini Senthilselvan

"A data fanatic with a deep passion for transforming raw data into impactful insights that drive strategic innovation and decision-making!"

About me

🔭I am a Data & AI Engineer passionate about building intelligent systems that solve real-world problems.

🔍 I work at the intersection of AI, data engineering, and cloud — creating full-stack AI assistants, predictive analytics models, and scalable data pipelines. ⚙️ Tech I love: Python | SQL | LLM | LLAMA | GPT | Pinecone | Vector Database | Azure | AWS | Tableau | Power BI | PySpark

💡 Projects include:

RAG-based AI chatbots using GPT & vector DBs
Azure & AWS ETL pipelines for large-scale analytics
Churn prediction, fraud detection, and recommender systems
Interactive BI dashboards for actionable insights

🚀 Always exploring the next frontier in applied machine intelligence.

Check out my repos and feel free to connect or collaborate!

📫 How to reach me: senthilselvan.n@northeastern.edu

My Familiar Platforms

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Azure-Data-Engineering-Project Azure-Data-Engineering-Project Public

This project implements an end-to-end ETL and analytics pipeline using Azure Data Factory, Databricks (PySpark), Synapse Analytics, and Power BI. It extracts the AdventureWorks dataset from GitHub,…

Jupyter Notebook 3
CPS-NEU-AI-Assistant-Using-RAG-VB CPS-NEU-AI-Assistant-Using-RAG-VB Public

The CPS AI Assistant is an AI-driven chatbot for College of Professional Studies (CPS), Northeastern University, providing 24/7 course-related support. It leverages Retrieval-Augmented Generation (…

Python
Predictive-Analytics-for-High-Value-Customer-Churn-in-the-Telecom-Sector-Using-Machine-Learning Predictive-Analytics-for-High-Value-Customer-Churn-in-the-Telecom-Sector-Using-Machine-Learning Public

A predictive analytics project for a telecom company to identify high-risk customer churn using machine learning models. Implemented feature engineering, dimensionality reduction, and class imbalan…

Jupyter Notebook
SQL-Driven-Insights-for-Optimizing-Global-Movie-Release-Strategy---Insights-for-RSVP-Movies SQL-Driven-Insights-for-Optimizing-Global-Movie-Release-Strategy---Insights-for-RSVP-Movies Public

RSVP Movies analyzed historical movie data to plan their 2022 global release. Using advanced SQL techniques, the project identified popular genres, optimal budgets, key languages, and the impact of…