Data Analyst &
Problem Solver
Transforming raw data into actionable insights using Python, SQL, Power BI, Excel, and Tableau
Passionate about data analysis, visualization, and building efficient solutions. With expertise in Python, SQL, and business intelligence tools, I help organizations make data-driven decisions.
About Me
Data Analysis
Proficient in Python, SQL, and MySQL for comprehensive data analysis and database management
Visualization
Expert in Power BI, Excel, and Python visualization libraries for creating impactful dashboards
ETL & Automation
Experienced with Power Query, data transformation, and process automation
Skills & Expertise
Programming
Data Analysis
BI Tools
Databases
Version Control
Certifications
Big Data Foundations - Level 1
IBM (Credly)
Issued: February 19, 2026
Badge earner has a basic understanding of Big Data concepts and their applications. Understands Big Data processing platforms and data governance principles.
Skills:
Markets Quantitative Analysis (MQA) Job Simulation
Forage & Citi
Issued: December 9, 2025
Completed practical job simulation for Markets Quantitative Analysis role at Citi. Covered financial math, pricing commodities, and risk management.
Skills:
Data Analytics Job Simulation
Deloitte & Forage
Issued: November 20, 2025
Completed practical job simulation for Data Analytics role at Deloitte. Covered data analysis and forensic technology applications.
Skills:
Data Cleaning Process
Step-by-step data cleaning methodology used in my analysis projects
📊Data Understanding
Check dataset size and structure, understand columns and objective
🔧Fix Data Types
Convert to correct formats (numeric, datetime, categorical)
⚠️Handle Missing Values
Identify missing data, remove or impute (mean/median/mode)
🗑️Remove Duplicates
Delete duplicate rows, validate unique identifiers
✨Standardize Data
Make values consistent (e.g., Male/M/male → Male)
📝Fix Formatting Issues
Remove extra spaces, clean text formatting
🎯Handle Outliers
Detect extreme values, remove or cap if needed
✅Validate Data
Recheck missing values, confirm data types, ensure no duplicates
Featured Projects
🌦️ Weather Analytics ETL Pipeline
Real-time weather data analytics pipeline with automated ETL workflow. Fetches live weather data using OpenWeather API, processes it through Python, stores in MySQL database, and visualizes with Power BI dashboards. Fully automated using Windows Task Scheduler with continuous version control via Git/GitHub.
Tech Stack
Key Features
- Real-time weather data extraction from OpenWeather API
- Automated Python ETL pipeline with data cleaning & validation
- MySQL database with structured data storage
- Interactive Power BI dashboard with live refresh
- Windows Task Scheduler automation (runs every 15 minutes)
- Complete version control with Git/GitHub
- Historical trend analysis and comparisons
- DAX-based calculations and KPIs
