Full stack developer with experiance in LLMs, vectorDB and integrating GenAI services

leetcode

github

Utkarsh Pal  • Peerlist

<p>Performed Exploratory Data Analysis (EDA) on an eCommerce transactions dataset to extract key business insights. • Developed a Lookalike Model to recommend similar customers based on profile and transaction history, using similarity scoring techniques. • Implemented Customer Segmentation using Clustering algorithms, optimizing the DB Index for better evaluation. • Visualized customer clusters and provided data-driven recommendations to enhance business strategy. • Built and documented clean, efficient code in Python for EDA, recommendation modeling, and clustering</p>

Customer Segmentation and Clustering

• Automated Cold Mailing: Developed an application to automate and ease up the process of cold mailing.
• Efficient Mailing: Provided a feature to automatically send cold emails without opening the mailing
application.
• Improved Productivity: Reduced time spent on cold mailing by over 80%, alongside being extremely
customizable.
• Tech Stack: Node.js, Postman, Nodemailer, and Express.js.

Coldemailer

This is a app that that allows users to manage risk assessments for various entities. The app uses:
FastAPI for the backend (API).
MongoDB for storing data.
React for the frontend.
Docker to create container
first test it locally then deployed it on Docker.

Risk-Due-Diligence-App

• Developed a YouTube Playlist Analysis Tool: Built a full-stack application using ReactJS, NextJS, and
then used a web scraper to fetch and display video metadata dynamically.
• Enhanced User Experience: Designed a responsive and user-friendly interface with features like analyzing
view counts, trends, engagement, and growth.
• Deployed on Cloud: Deployed the application on the Railway cloud platform using Docker to ensure
scalability and accessibility.