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Hi, I'm Harsh Gopinath Chavan

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I enjoy building software that is practical, efficient, and user-focused. As a Computer Engineering graduate with an Honours specialization in Data Science, I have a strong interest in Python, data analytics, and creating technology-driven solutions that make a real impact. I'm always eager to learn new tools, take on challenging projects, and grow as a developer.

harsh.py
class Developer:
    def __init__(self):
        self.name = "Harsh Chavan"
        self.role = "Python Developer"
        self.stack = ["Python", "Django",
                      "ML", "Data Science"]
        self.learning = True

    def say_hello(self):
        return f"Let's build something great."
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01 — About

The person behind the code

I'm a Computer Engineer passionate about software development, machine learning, and data science. I enjoy building intelligent applications using Python, Django, and modern ML libraries — turning messy real-world problems into working, testable software.

Outside of coursework, I spend my time shipping small projects end-to-end: from data collection to model to a usable interface. I like the moment a project goes from a scikit-learn notebook to something someone can actually click.

0 Projects shipped
0 Internships completed
0 Published paper
  • harshchavan1403@gmail.com
  • +91 8767631646
  • Pune, Maharashtra, India
  • B.E. Computer Engineering, 2022–2026

02 — Experience

Where I've worked

Python Developer Intern

Rubicon Foundation

Jan 2025 – Feb 2025
  • Developed database-driven web applications using Python, Django, Django ORM, and MySQL.
  • Designed relational database schemas and implemented backend operations while maintaining data integrity.
  • Built REST APIs with authentication and authorization, and improved reusable backend modules.

Software Developer Intern

Elite Software

Dec 2024 – Feb 2025
  • Developed and enhanced Python and Django-based web applications by implementing backend features and resolving application issues.
  • Worked with Agile development practices including sprint planning, code reviews, debugging, testing, and deployment.
  • Improved backend logic and database interactions to support application reliability and maintainability.

03 — Projects

Things I've built

AI Data Analyst

An AI-powered data analysis platform where users upload datasets and ask questions in natural language. Google Gemini converts questions into structured analysis plans, Pandas executes the analysis, and Plotly renders interactive visualizations, with downloadable PDF reports.

  • Python
  • Streamlit
  • Google Gemini API
  • Pandas
  • Plotly
  • ReportLab

Predictive Maintenance & Equipment Failure Prediction

A machine learning system that predicts equipment failures from operating conditions such as temperature, rotational speed, torque, and tool wear — providing failure probability, risk classification, and maintenance recommendations.

  • Python
  • Scikit-learn
  • Pandas
  • Gradient Boosting
  • Streamlit
  • SQL
  • Power BI

AI Resume Analyzer

An AI-powered resume analysis platform that evaluates resumes against job descriptions using Generative AI and NLP — with ATS scoring, keyword analysis, semantic similarity, resume grading, and downloadable PDF reports.

  • Python
  • Streamlit
  • Google Gemini API
  • Scikit-learn
  • Pandas
  • NLTK

Workforce Intelligence — HR Analytics

An HR analytics solution analyzing workforce trends, employee attrition, demographics, and job roles, combining SQL-based analysis with an interactive Power BI dashboard for actionable workforce insights.

  • SQL Server
  • T-SQL
  • Power BI
  • DAX
  • Python

Retail Sales Analytics

An end-to-end retail analytics solution using SQL Server for data preparation and Power BI for interactive dashboards, KPI tracking, DAX-based metrics, and business reporting on sales, products, and regional trends.

  • SQL Server
  • T-SQL
  • Power BI
  • DAX
  • Data Modeling
  • ETL

Uber Fare Prediction

A machine learning application predicting Uber fares from trip-related and geographic information, combining predictive modeling with interactive geospatial visualization through a Streamlit app.

  • Python
  • Pandas
  • Scikit-learn
  • Machine Learning
  • Streamlit
  • Geospatial Analysis

CineMatch

A content-based movie recommendation engine built on a dataset of 5,000+ movies, using NLP-based feature extraction with CountVectorizer and cosine similarity to generate personalized recommendations via an interactive Streamlit app.

  • Python
  • Scikit-learn
  • Pandas
  • Streamlit
  • NLP
  • TMDB API

Airline Reservation System

A console-based reservation system handling flight booking, passenger management, and bill generation — built with file handling and object-oriented design for a modular, maintainable codebase.

  • C++
  • OOP
  • File Handling

04 — Skills

What I work with

Programming

Python C++ Java SQL

AI / Machine Learning

Scikit-learn TensorFlow / Keras NLP NLTK Generative AI Google Gemini API

Data Science / Analytics

Pandas NumPy Matplotlib Seaborn Plotly Power BI DAX Microsoft Excel

Web / Databases

Django Streamlit REST APIs MySQL SQL Server T-SQL MongoDB

Tools / Concepts

Git GitHub Jupyter Notebook VS Code OOP Data Structures Agile SDLC

05 — Education

Academic Background

Bachelor of Engineering — Computer Engineering

Zeal College of Engineering and Research · Savitribai Phule Pune University · Honours Specialization: Data Science

2022 – 2026
7.55 CGPA / 10

06 — Publication

Published research

Automatic Vehicle Speed Control

International Journal of Scientific Research in Engineering and Management (IJSREM)

Developed an automatic vehicle speed control system for restricted zones using embedded systems and infrared sensors to improve road safety.

DOI: 10.55041/IJSREM64991 View DOI

07 — Contact

Let's build something

Have a role, project, or idea in mind? My inbox is open.