About Me

Hi, I'm Sunil Sharma, a passionate Python Developer and Data Scientist. I specialize in building robust data-driven solutions and sharing practical knowledge through blogs. My expertise lies in data analysis, machine learning, and automation—turning complex data into actionable insights.

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Resume

My Journey

Education

• Degree: Bachelor's in Computer Science
• University: Devi Ahilyabai Vishav Vidhyalay(DAVV), Indore
• Collage: PMB Gujarati Science College, Indore
• 2015-2018

Experience

I have worked on impactful projects in data science, machine learning, and automation. My focus is on designing reproducible pipelines, advanced analytics, and delivering value through data.

Projects

• GSTN Hackathon: Predictive Binary Classification (2024)

  • Developed a high-performance, interpretable ML pipeline for binary classification on anonymized GSTN data. Achieved >97% accuracy and strong F1/MCC, with strict compliance and reproducibility.
  • Read more

• Examination Management System Database (2024)

  • Designed and implemented a modular, production-ready database system for managing exams, students, proctoring, and results. Multi-RDBMS support (SQLite, MySQL, PostgreSQL), Python automation, Dockerized environments, and automated testing.
  • Read more

• S3 Faker (2025)

  • Created a fake data generator with AWS S3 (LocalStack) integration, supporting CSV/JSON/Parquet and automating uploads for cloud pipeline testing.
  • Read more

• Paraxcel (2025)

  • Built a Python toolkit for advanced Excel data extraction, transformation, and visualization, leveraging Pandas, Openpyxl, and Tkinter for a local-first GUI.
  • Read more

• Naukri Webscraper (2024–2025)

  • Developed a Selenium-powered Python tool to automate job search and data extraction from Naukri.com, with skill-based filtering, CSV export, and robust automated testing.
  • Read more

• Test Management Site (2024–2025)

  • Designed a dynamic, responsive frontend web app for test creation, execution, and result tracking using vanilla JS, HTML, CSS, Bootstrap, and localStorage.
  • Read more

Explore

More Projects More Blogs

Skills

• Data Science & Analysis:

  • Advanced data wrangling, cleaning, and exploratory analysis using pandas and numpy
    (see GSTN Hackathon, Paraxcel, S3 Faker)
  • Feature engineering, statistical analysis, and visualization with matplotlib, seaborn, Plotly.js
    (see GSTN Hackathon, Paraxcel)

• Machine Learning:

  • End-to-end ML pipelines with scikit-learn, XGBoost, LightGBM
    (core to GSTN Hackathon)
  • Model selection, hyperparameter tuning, cross-validation, and explainability (SHAP)

• Automation & Scripting:

  • Python scripting for data pipelines, automation, and ETL tasks
    (see S3 Faker, Naukri Webscraper)

• Web Scraping:

  • Automated data extraction with Selenium, BeautifulSoup
    (Naukri Webscraper)

• Database & Data Engineering:

  • SQL (SQLite, MySQL, PostgreSQL): schema design, query optimization, triggers, and views
    (Examination Management System DB)

• Programming Languages:

  • Python (primary), JavaScript, HTML, CSS

• Web Development:

  • Flask, Django, FastAPI (see GitHub for repos)

• AI & Agentic Space:

  • Mistralai, Gemini, Langchain, Langgraph, Huggingface
    (see GitHub for proof-of-concept and experimental repos)

Tools & Dev-Ops

• Tools: VSCode, Jupyter Notebook, Git, GitHub, Docker, Kubernetes
• OS: Windows, Linux
• Cloud: AWS, Azure, GCP

Blogs & Knowledge Sharing

I regularly write technical blogs on data science, machine learning, and database design.
See Latest Blogs for in-depth guides, including:

• Navigating the Nuances: A Developer's Guide to SQL Dialects (SQLite, MySQL, PostgreSQL)
• Beyond the Schema: A Practical Guide to Querying and Interacting with SQLite, MySQL, & PostgreSQL

Hobbies & Interests

• Coding
• Blogging
• Reading