ARGHYADIP
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Available for Innovative Works

Arghyadip Ghosh Ghosh

Data Science Enthusiast & Aspiring Web Developer

My Work Let's Talk
👋 WELCOME !
Projects
8+
Internships
2
CGPA
8.5
Core Stack
Python ML/AI Web Dev Java Data Science DSA
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Arghyadip Ghosh
CS
Engineer
ML
Enthusiast
About Me

Who
I Am.

I'm Arghyadip Ghosh, a Computer Science student obsessed with Deploying Things That Work — from web applications to machine learning pipelines.

I bridge the gap between Web Applications and Data Science. Whether it's training regression models to predict AQI or building AI chatbots from scratch, I love the full journey from idea to deployment.

Currently hunting for opportunities where I can Explore Real-World Products, collaborate with sharp engineers, and keep learning at pace.

PythonWeb DevMachine Learning Data ScienceDSAJavaSQLHTMLCSSJavaScriptFlask
Technical Stack

What I Build
With.

SKILLS
Technologies
🐍
Python
🤖
ML
📊
Data Science
🌐
HTML/CSS
✨
JavaScript
⚙️
C
☕
Java
🧩
DSA
arghyadip.dev
CODING LIVE
Compiling ideas...
Selected Work

Featured Projects.

PyDuck
01
Web App · Dev Tool
PythonHTMLCSSJS
PyDuck
Python coding practice platform where users solve problems, execute code, and sharpen skills through a clean interactive interface.
View Project ↗
INVINCIBLE AI
02
Web + AI
JSAPICSS
Invincible AI
Interactive AI chatbot with intelligent conversation simulation and a clean responsive UI powered by live API integration.
View Project ↗
DishCO
03
ML
Pythonsklearn
DishCO
ML regression model predicting dish ingredient costs from real data patterns.
View ↗
Spotify
04
Recommendation
PythonML
Spotify Rec.
ML-powered song recommendations using audio features & content-based filtering on Spotify data.
View ↗
ExactKB
05
Platform
HTMLCSSJS
ExactKB
Clean knowledge base to browse and organize information efficiently with a minimal UI.
View ↗
Work History

Professional Experience.

Enginow
Data Science Intern
Jan – Feb 2026
Customer Churn Analysis GitHub ↗
  • Classification models to predict customer churn
  • Advanced EDA & feature engineering
  • AUC improved from 0.72 → 0.87
  • SHAP explainability for churn drivers
Credit Risk Prediction GitHub ↗
  • ML system for loan default prediction
  • Handled class imbalance & preprocessing
  • 81% recall for default class
  • Deployment-ready reusable pipeline
Sales Forecasting GitHub ↗
  • ARIMA & ML-based time series forecasting
  • Seasonal & lag feature engineering
  • 92% short-term accuracy
  • Business intelligence dashboards
NIT Durgapur
Research Intern
Jun – Sep 2025
AQI Prediction Model
  • ML models to predict Air Quality Index (AQI) from multi-year data
  • Feature engineering on PM2.5, PM10, NO₂, SO₂, CO
  • Benchmarked Linear Regression, Random Forest, XGBoost
  • Significant RMSE reduction via hyperparameter tuning
  • Insights for environmental monitoring
Credentials

Certifications &
Achievements.

KDSH
🏆 HACKATHON
KDSH Hackathon Certification
Supervised & Unsupervised ML, model evaluation, feature engineering
ML Python
📜 COURSE
Machine Learning using Python
LinkedIn Learning — core ML algorithms and real-world applications
Research
🔬 RESEARCH
Research Internship Certification
AQI prediction system — NIT Durgapur, NumPy & Pandas
TATA
📊 VISUALIZATION
Data Visualization — TATA Forage
Data visualization techniques and business insight optimization
Let's Build Something

Got a
project?

Open to internships, research collaborations, and any project where I can learn fast and ship faster.

✉ arghyadipghosh03@gmail.com
GitHub Resume Email