- 💼 Completed a 3-month Data Analyst Internship at Rubixe AI Company, building data models, cleaning 10K+ records, and developing Power BI KPI dashboards.
- 💻 Currently expanding my practical expertise by building and deploying self-driven data analytics.
- 💡 Passionate about turning raw data into actionable business insights through Exploratory Data Analysis (EDA), predictive modeling, and automated reporting.
- 📱 I also bring full-stack software experience, having deployed the Attendance2Day academic management system mobile application live on the Google Play Store and hosted on AWS EC2.
- 📫 How to reach me: [email protected]
- Programming & Analytics: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), SQL (Joins, CTEs, Aggregations, Stored Procedures), MySQL
- BI & Visualization: Power BI, Tableau, Excel (VLOOKUP, Pivot Tables), Google Sheets
- Data Engineering & Workflow: ETL Processes, Data Modeling, Power Query, Data Cleaning
- Software & Cloud: Android Development, AWS EC2, Firebase, Git, GitHub
- Supply Chain Analysis: Built a Power BI dashboard tracking 6 KPIs across multiple product categories and suppliers; utilized SQL and Pandas to analyze 15K+ rows and identify inventory bottlenecks.
- Medical Data Analysis: Analyzed hospital data across relational tables using MySQL Workbench and built a Power BI data model to visualize patient distribution and admission trends.
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Startup Profit Prediction & Analysis: Developed a Linear Regression machine learning model using Scikit-learn achieving 90% accuracy (
$R^2$ score of 0.90) to predict startup profit and identify key financial drivers. - Attendance2Day: Deployed a full-stack Android academic management app with Role-Based Access Control (RBAC), utilizing AWS EC2, MySQL, and Firebase.
