Designed and developed custom web scraping, ETL, and cloud solutions for clients across diverse industries, providing tailored services to solve specific business challenges.Automated data validation processes, boosting team efficiency by 15% and increasing bandwidth while maintaining high-quality data standards.Implemented a custom NLP solution to match products across multiple franchise sites with 92% accuracy.

Sentiment analysis using Natural Language Processing (NLP) techniques in R and Python.

Analyzed startups using Excel and SQL to evaluate industry data, business models, and product strategies.Developed market maps and cleaned data in Tableau for trend analysis and investment recommendations.

Utilized Microsoft Excel, Tableau, and SQL for data cleaning, analysis, and visualization, extracting insights on player psychology, revenue models, and opportunities for market expansion.

Applied data analytics and programming skills in Python, Jupyter Notebooks, DBeaver, MongoDB, and in-house tools to support infrastructure, derive insights, and produce clear visualizations.Collaborated with the Revenue Operations data team to manage custom in-game store rotations.Optimized partner giveaway item selection to reduce churn with minimal impact on the in-game economy.Analyzed social media partner audiences across TikTok, YouTube, and Twitch to identify audience overlap and maximize campaign effectiveness.Analyzed A/B test results to determine the optimal product order for the Steam webpage, driving conversion.Analyzed A/B test results to determine the effectiveness of AI generated item banners resulting in a decreased workload for the multimedia team of up to 5%