End-to-End Project Leadership: Act as the primary lead for multiple concurrent projects, facilitating collaboration between cross-functional stakeholders from initial requirement gathering through to final deployment.
Process Automation: Design, develop, and implement automation tools using Python and Selenium to eliminate manual efforts in testing, data collection, and operational workflows.
Data Engineering & Architecture: Transform large-scale unstructured data into structured SQL databases. Design efficient schemas and write complex queries to extract actionable datasets.
Advanced Statistical Modeling: Apply analytical approaches—including Linear/Logistic Regression, Simple/Weighted Moving Averages, and Exponential Smoothing —to tackle complex business problems and trend forecasting.
Unstructured Data Processing: Utilize OCR (Tesseract) and NLP techniques to extract data from PDFs, scanned images, and social media feeds for sentiment analysis and brand performance tracking.
Visualization & Reporting: Create high-fidelity dashboards in AWS Quicksight and Excel Analytics. Translate technical findings into "Masterful" PowerPoint presentations for leadership reviews.
Continuous Improvement: Apply Lean principles and DMAIC methodology to refine operational metrics and improve model precision.
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Programming: Expert proficiency in Python (Flask, Selenium, Tesseract).
Databases: Strong command of SQL (MySQL) and data warehousing environments like Amazon Redshift.
Analytics Tools: Hands-on experience with SPSS , Excel Analytics, and Time Series forecasting.
Cloud Infrastructure: Proficient in the AWS ecosystem, specifically for data visualization and storage.
Web Technologies: Familiarity with HTML, CSS Selectors, and X-Path for web scraping and automation.
