Tushar Nebhnani

Full-Stack Engineer | Data Science | AI/ML Specialist

Professional Summary

A results-driven full-stack engineer and natural builder, I architect data-centric solutions and dynamic web applications that translate complex information into actionable business intelligence. My expertise spans both backend predictive modeling and modern frontend development, with proven achievements including enhancing AI accuracy by 60-70% and delivering responsive web experiences. I'm eager to apply deep expertise in Python, JavaScript, SQL, and Machine Learning alongside React and FastAPI to build robust, scalable software that solves meaningful challenges.

Technical Skills

Experience

Web-Dev Lead

IEEE Student Branch

AI Intern

Pyrotech Technologies

Projects

Olist E-Commerce Predictive Dashboard

A machine learning project using the Olist Brazilian E-Commerce dataset to build predictive models for e-commerce analytics. Developed end-to-end solution with FastAPI backend and React frontend.

  • Product recommendation using SVD collaborative filtering.
  • Purchase prediction and customer satisfaction models.
  • Customer segmentation and price recommendation.
Tech Stack: Python, FastAPI, React, scikit-learn, pandas, TypeScript, Vite
Impact: Provides actionable insights for personalized recommendations, churn prediction, and business intelligence.

Retail Analysis Dashboard

Interactive web dashboard for retail analytics built using SQL.

  • KPIs: Revenue, customers, products, avg transaction value.
  • Product Analytics: Category revenue, top products, low stock alerts.
  • Sales Trends: Monthly/peak analysis with year filters.
  • Customer Insights: Demographics (gender/location), RFM segmentation.
Tech Stack: Python, Streamlit, Pandas, Plotly, SQLite
Impact: Addresses stagnant growth, poor segmentation, and inventory issues while enabling data-driven decisions.

Education

Bachelor in Computer Science

SPPU

Honours in Data Science

SPPU

Class XII

MDS