Open to Internships & Opportunities

Vaishnav
S Nair _

I build

CSE student at Lovely Professional University crafting ML-powered applications and full-stack platforms. Passionate about turning data into intelligent products.

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RESUME
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vaishnav.py 
class Vaishnav:
  name  = "Vaishnav S Nair"
  cgpa  = 8.65
  uni   = "LPU, Punjab"

  skills = [
    "Python", "ML/AI",
    "React.js", "Flask",
    "FastAPI", "Docker"
  ]

  def status(self):
    return "Building cool stuff 🚀"
CGPA 8.65
3 Projects
EXPLORE DISCOVER
About Me

Turning Ideas Into Intelligent Software

I'm a Computer Science & Engineering student at Lovely Professional University with a CGPA of 8.65. I love building ML-powered web applications that solve real-world problems — from fashion recommendation engines to e-commerce price optimizers.

My work spans the full stack: from training predictive models with Scikit-learn and XGBoost, to designing clean React UIs and deploying with Docker. I believe great software is both technically sound and genuinely useful.

Phagwara, Punjab, India
vaishnavsnair2005@gmail.com
+91 8891615605
0 CGPA
0 Projects Built
0 Items Indexed (Fashion ML)
0 Transactions Analyzed (PriceIQ)
Recognition

Achievements

🏆
Top 3
Hackathon 2025

Ideathon Hackathon 2025

Lovely Professional University, Phagwara

Secured a Top 3 position in the Ideathon Hackathon conducted at LPU, competing against teams across the university. Built a Smart Traffic Management System for Electric Vehicles — an intelligent solution leveraging real-time data processing to optimise EV routing, reduce congestion, and enable priority signalling for electric fleets.

Smart Traffic Systems Electric Vehicles IoT / Real-time Data Algorithm Design
Technical Skills

Tools I Work With

Languages

Python
C++
C
Java

Frameworks & Tools

React.js
Flask
FastAPI
Docker
Git

Data & ML

Scikit-learn
XGBoost
Pandas
NumPy
Tableau
Power BI

Databases & Storage

MongoDB
MySQL
PostgreSQL
Excel
Selected Work

Projects I've Built

01

Second-Hand Fashion Advisory System

PythonFlaskReact.jsScikit-learnPostgreSQLDocker

ML-powered web app for personalized pre-owned clothing discovery using content-based filtering and cosine similarity with adaptive Like/Dislike learning. Processed and indexed 44,000 fashion products across a full-stack architecture.

  • NLP-based smart search & similar-item recommendations
  • Linear Regression price prediction — R² ≈ 0.72
  • Deployed with Docker; 44k+ products indexed
Code
02

PriceIQ — E-Commerce Price Optimization Platform

PythonFastAPIReact.jsXGBoostPlotlyChart.js

ML-powered platform that transforms raw e-commerce transaction data into actionable price recommendations via automated data cleaning, feature engineering, and predictive modelling. Built on 541,909 retail transactions.

  • Compared Linear Regression vs XGBoost — targeting R² ≥ 0.80
  • Revenue optimization & demand elasticity analysis
  • Interactive what-if simulations dashboard
Code
03

Beek — AI-Powered E-Book Reader

ReactAI/MLEPUB

Interactive e-book reader integrating AI-powered tools to enhance reading, exploration, and engagement with EPUB books. Features character discovery and gamified reading achievements.

  • Compendium: extracts & organizes book characters interactively
  • Gamified achievements system rewarding reading progress
  • AI-assisted exploration of EPUB content
Code
Background

Training & Education

Jun 2026 – Jul 2026 Training

Data Analytics Essentials with AI

Centre for Professional Enhancement, Lovely Professional University

Hands-on training in data analytics and visualization using SQL, Python, Excel, Power BI, and Tableau. Applied analytical techniques and AI-assisted tools to create data-driven reports.

Sep 2026 Certificate

Database and SQL

Infosys Springboard

Aug 2026 Certificate

Database Management System Part - 1

Infosys Springboard

Apr 2025 Certificate

Introduction to AI & ML

Skillera

Aug 2024 – Present Education

B.Tech — Computer Science & Engineering

Lovely Professional University, Phagwara, Punjab

CGPA: 8.65

2021 – 2023 Education

Intermediate & Matriculation

Bharatheeya Vidyapeedom Central School

Intermediate: 88%  |  Matriculation: 95%

Get In Touch

Let's Build Something

I'm actively looking for internships and collaborative projects. Whether you have an opportunity or just want to say hello — my inbox is always open.

Email vaishnavsnair2005@gmail.com
LinkedIn vaishnavsnair2005
GitHub vaishnavs2005
Phone +91 8891615605