Transforming Data into Decisions, and Code into Creations.

Hi, I’m Rishi!

I'm a Data Scientist exploring and building with
Machine Learning, Generative AI and Agentic AI

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Specializing in Generative AI, agentic systems, and end-to-end ML solutions.
Building Machine Learning Solutions
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I constantly try to improve
my Tool Stack
SQLPython + PytorchPowerBI + Excel
Langchain + LangGraphGithub + Docker
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Data Scientist with a Strong Interest in Machine Learning and Generative AI
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The Inside Scoop
Actively building skills in Generative AI and agentic AI systems, specializing in LLM reasoning, tool-calling workflows, retrieval-augmented generation, and production deployment.
Do you want to start a project together?

A small selection of recent projects


includes gen AI, data science, machine learning and web development projects

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ChatterboxGPT : built with LangGraph

A Multi-Utility Chatbot with Retrieval-Augmented Generation (RAG), and LLMs,supporting context-aware document Q&A and dynamic external tool calling (web search, APIs, utilities) for real-time, grounded responses.

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Churn Prediction using Deep Learning šŸ“‰

Bank Customer Churn Prediction using the trained Artificial Neural Network model, with support of single and batch mode predictions (using CSV) and SHAP Explainability for model interpretability.

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JobJumperAI : Job Application Assistant

AI-powered career management platform that helps you stay updated with job applications with AI agents that analyze job fit, conduct real-time web research on companies, and generate tailored cover letters.

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YouTube RAG Chatbot using LangChain

Unlock the knowledge in any YouTube video with this RAG chatbot. Powered by LLMs and semantic search, Users ask questions about a video; the chatbot finds answers and cites relevant moments with precise timestamps.

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End-to-End Hospital Analysis Dashboard

A comprehensive Dashboard designed to provide clear, actionable insights across five key areas: Overview, Patient, Doctor, Hospital, and Finance. This dashboard brings hospital data to life for better decision-making.

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Fully Interactive Mobile Sales Dashboard

Built in Power BI to transform complex sales data into clear, actionable insights. It covers sales performance, top brands/models, regional demand, seasonal trends, payment behavior, inventory flow, and customer feedback.

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Sales Analysis Dashboard - MS Excel

Sales Dashboard using Excel tools like Power Query, PivotTables, Slicers, and Charts. It highlights category-wise sales, customer growth, profit trends, top-performing states, and monthly sales fluctuations, all at a glance.

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Healthio - Doctor Appointment Booking App

A Full Stack Doctor Appointment Booking and Management Web-App built with MERN Stack. Features a dedicated admin panel, user authentication, doctor search and booking, appointment management, reviews, and a dashboard.

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Retro King - Play Classic Retro Games

Missing the golden age of gaming? I've built a full-stack modern web platform that lets you relive those classic moments right in your browser! This is a web-based retro game emulation platform built with Next.js + Prisma.

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Trimrr - URL Shortener

A Fully responsive Full Stack URL Shortener Web-App with React JS, Tailwind CSS, Supabase, and Shadcn UI. User authentication, URL shortening and redirection with custom links, detailed analytics, QR code generation, and a visually appealing dashboard.

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DuoStudio – A Frontend Website

DuoStudio is a frontend website made purely in HTML, CSS, and JavaScript - powered by Javascript animation libraries such as GSAP and LocomotiveJS for smooth-scrolling effects.

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OOCHI - A Frontend Website

A Frontend Website made using React + Tailwind CSS with the help of Vite. Libraries used - Framer Motion and Locomotive for smooth scrolling and animations!

My Approach

System Design & Problem Definition

I start by deeply understanding the problem context, defining clear objectives, and identifying success metrics. This phase focuses on aligning data science goals with real business or product impact.

Data Exploration & Modeling

This phase covers data exploration, pre-processing and engineering, model development, and experimentation with machine learning, LLMs, and agentic workflows. I focus on performance, reliability, and selecting architectures that scale in real-world environments.

Deployment, APIs & Monitoring

Once validated, models are deployed as APIs or embedded into applications. I focus on inference efficiency, monitoring, and observability to ensure stable performance and long-term maintainability. I also build dashboards to ensure insights are accessible, actionable, and impactful for decision-makers.