π Aspiring Data Analyst | SQL | Power BI | Python | Data Visualization
Welcome to my GitHub! I'm passionate about transforming raw data into actionable insights through data analytics, visualization, and business intelligence. With a background in data analysis and experience working with large datasets, I thrive on solving complex data challenges.
| π© Email | πΌ LinkedIn | π GitHub |
|---|---|---|
| subhrajyoutimahanta@gmail.com | GitHub |
π Tech Stack: Power BI, PostgreSQL, SQL, Data Visualization
π Overview: Analyzed 500,000+ trip records, built a Power BI dashboard, and optimized revenue tracking.
π Insights: Identified that repeat passengers contribute 40%+ more revenue per trip.
π GitHub Repo: GoodCabs Analysis
π Diagram:
graph TD;
A[Raw Trip Data] -->|SQL Queries| B[Database]
B -->|Power BI Reports| C[Data Visualization]
C -->|Revenue Insights| D[Business Decisions]
π Tech Stack: Python, Pandas, Seaborn, Matplotlib, Jupyter Notebook, Excel
π Overview: Analyzed 10,000+ job postings to uncover salary trends and in-demand skills.
π Insights: SQL appeared in 50%+ of job postings, Python in 72% of Data Scientist roles.
π GitHub Repo: Job Market Research
π Diagram:
graph LR;
A[Job Data Collection] -->|Python Processing| B[Data Cleaning]
B -->|Visualization| C[Trends & Insights]
C -->|Job Market Recommendations| D[Career Growth]
π Tech Stack: SQL, Data Cleaning, Decision Optimization, Market Expansion Strategy
π Overview: Analyzed 100,000+ sales records to determine optimal city expansion strategy.
π Insights: Identified Pune, Delhi, and Chennai as best expansion locations.
π GitHub Repo: Monday Coffee Expansion
π Diagram:
graph TD;
A[Sales Data] -->|SQL Analysis| B[Market Segmentation]
B -->|Profit Trends| C[Best Cities Identified]
C -->|Expansion Plan| D[Business Growth]
π Languages: SQL, Python, R
π Databases: PostgreSQL, SQLite, MySQL
π Tools & Frameworks: Power BI, Tableau, MS Excel, Pandas, NumPy, SciPy, Matplotlib
π Skill Set Overview:
pie
title Skill Proficiency
"SQL": 30
"Python": 25
"Power BI": 20
"Excel": 15
"Tableau": 10
β
SQL for Data Analytics
β
Python for Data Analytics
β
Excel for Data Analytics
π Open to collaboration, job opportunities, and projects in data analytics and business intelligence! π