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MalayBhunia/README.md

Hi there, I'm Malay Bhunia

LinkedIn Portfolio Email.com Naukri.com Leetcode Facebook X

Happy to see you here!

I’m an aspiring Data Analyst passionate about turning raw data into clear, actionable insights by building interactive dashboards and uncovering meaningful trends; using SQL, Python, Excel, and Power BI, I bridge the gap between complex datasets and practical business solutions — explore my repositories below to see these skills in action.

🙋‍♂️ Talking about Personal Stuff :

  • 👨🏻‍💻 Building real-world analytics projects using Excel, SQL, Python and Power BI.
  • learning & applying Time Series Analysis for forecasting and trend modeling.
  • 📊 Turning complex datasets into meaningful insights & interactive dashboards.
  • 💬 Always happy to help with data analysis, forecasting & project discussions.
  • 🚀 Exploring AI concepts & advanced analytics for a Data Science transition.
  • 🎯 Future plan: Transitioning to a Data Scientist role.
  • 📫 How to reach me: mbhunia098@gmail.com
  • 📄 Download Resume →

🛠 Tech Stack & Expertise

🔹  Data Analysis: Proficient in Python Python&Numpy for cleaning, wrangling, and EDA to drive forecast accuracy.
🔹  Database Management: Advanced SQL PostgreSQL&MySQL for complex querying, CTEs, and database optimization.
🔹  BI & Visualization: Building interactive Power BI dashboards and statistical plots via Seaborn&Matplotlib.
🔹  Web Scraping: Skilled in Selenium and Python for automated extraction of dynamic web data into custom datasets.
🔹  Tools & Productivity: Experienced with GitHub for version control, Jupyter Notebooks and Advanced Excel.
🔹  Core Competencies: Analytical Thinking, Problem Solving, Stakeholder Communication, Teamwork Collaboration.

📊 Featured Projects

🔹 Flipkart Retail Product Dataset Analysis | Python • PostgreSQL • Power BI • SQLAlchemy • DAX • Jupyter Notebook
     Explore Full Analysis Project
🔹 Naukri Jobs Data Analysis Using Web Scraping | NumPy • Pandas • Seaborn • EDA • Selenium • Regex • WebDriver
     Explore Full Analysis Project
🔹 Apple Retail Sales Analysis Using SQL (1M dataset) | PostgreSQL • Window Function • CTEs • Complex queries • Joins
     Explore Full Analysis Project
🔹 AI Financial Market Data Analysis (2015-2024) | NumPy • Pandas • Seaborn • Matplotlib • EDA • Jupyter Notebook
     Explore Full Analysis Project
🔹 Covid-19 Analysis Dashboards (India State-wise) | Power BI Desktop • Power Query • DAX Formula • KPIs • Excel
     Explore Full Analysis Project

🎓 Education
Coding Boy

  ➤ Bachelor of Technology in Computer Science and Engineering
  ➥ Swami Vivekananda University, Barrackpure
  ➥ CGPA: 8.00/10.0 | June 2022 - June 2026

  ➤ Higher Secondary (HS)
  ➥ Tikrapara A. M. High School
  ➥ Percentage: 92% | June 2020 - June 2022

📜 Certifications

Certification Issuing Organization Issue Date Skills Learned Verification Link
Data Analysis with Python IBM / Cognitive Class Jan 2026 Pandas, Numpy, Scipy View Certificate ↗️
SQL (Intermediate) HackerRank Jan 2026 Joins, Subqueries, Aggregations View Certificate ↗️
Data Visualization with Python IBM / Cognitive Class Dec 2025 Matplotlib, Seaborn, Charts View Certificate ↗️
Python for Beginners MySirG.com Dec 2023 Core Python, Logic, Loops View Certificate ↗️

GitHub WidgetBox

✨ Let’s connect, collaborate & build impactful data solutions together ✨

Pinned Loading

  1. Flipkart-Sales-Data-Analysis Flipkart-Sales-Data-Analysis Public

    Full-stack sales analytics for 80k+ Flipkart listings. Features a Python-to-SQL ETL pipeline and interactive Power BI dashboards for inventory and seller auditing.

    Jupyter Notebook 2

  2. Naukri-Jobs-Data-Analysis-Using-Web-Scraping Naukri-Jobs-Data-Analysis-Using-Web-Scraping Public

    🚀 Automated end-to-end pipeline to scrape and analyze 1,500+ Naukri.com job listings. Features custom Selenium web scraping, data cleaning with Pandas/Regex, and EDA to uncover real-time trends in …

    Jupyter Notebook 2

  3. Linkedin_Jobs_Data_Analysis Linkedin_Jobs_Data_Analysis Public

    📊 Exploratory Data Analysis (EDA) of LinkedIn job postings in India. Features insights on in-demand roles, experience levels, and hiring sectors using Python, Pandas, and Seaborn.

    Jupyter Notebook 2

  4. -Crime-Trends-in-India- -Crime-Trends-in-India- Public

    🚔 Comprehensive analysis of crime trends in India (2020-2024). Visualizing crime distribution across major cities, victim demographics, and police responsiveness using Python and Matplotlib.

    Jupyter Notebook 2