Strategic analytics proficiencies applied to commercial objectives.
Cleaning, mining, and transformations of complex datasets using Python, SQL, and Excel for structured modeling.
Building live dashboards and interactive reports in Power BI and Tableau for KPI and executive tracking.
Automating spreadsheet models and structured extraction tasks using Python scripts and Excel VBA macros.
I bridge the gap between complex engineering pipelines and core corporate logistics. Holding an MBA degree in Business Analytics and Logistics & Supply Chain Management, I specialize in data cleaning, structured transformations, and analytical storytelling with complex databases, building systems that drive operational efficiency and executive clarity.
From writing custom Python scripts utilizing the Gemini API for unstructured data at Scimplify, to deploying ARIMA forecasting models for sports analysis at Infosys Springboard, I focus on creating scalable, insight-driven solutions that save operational hours and improve decision-making.
"I believe in creating highly scalable data products—turning dry databases into clean pipelines and stunning dashboards that tell the precise story."
Rigorous unit testing and schema validation govern every SQL pipeline and Excel model built.
Building robust API connections and scripts that optimize operations and eliminate human error.
Crafting highly elegant Power BI and Tableau workspaces designed for fast, accurate executive actions.
Translating massive database architectures into clean presentations that map directly to KPI improvements.
Corporate history, strategic execution, and analytical roles.
Scimplify
Deployed Python extraction pipelines integrated with the Gemini API to systematically parse unstructured web databases. Managed SQL databases for secure reporting and developed live performance dashboards in Power BI and Advanced Excel (VBA), improving operations and saving 50% reporting overhead.
Scimplify
Managed ETL operations, cleaning and structuring raw relational datasets using Python (Pandas, NumPy). Created KPI visualization dashboards in Tableau and optimized SQL select queries for performance tuning.
Infosys Springboard
Analyzed sports metrics and team metrics trends utilizing Google Colab. Programmed predictive time-series forecasting scripts (ARIMA/SARIMA) and built interactive visual reports in Power BI.
Microsoft (PL-300 Certification)
Google via Coursera Career Academy
PostgreSQL & Query Optimization Course
Infosys Springboard Certification
Interactive dashboards and data products proving technical competence.
Designed a live performance tracking hub in Power BI integrated with a relational SQL database for Scimplify, saving 50% operations planning time.
Created ARIMA/SARIMA algorithms in Python to predict future sports team scores and strike rate metrics, visualizing forecasts in Power BI.
Constructed automated inventory models with Pivot Charts, VBA automations, and formatted KPI cards mapping dynamic tracking logs.
Coded an automated Python extraction engine that parses messy unstructured scraped websites and exports structured schemas directly to SQL.
Have an open role, strategic analytics project, or dashboard consulting query?
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