Data Analyst and software engineering student with experience in data cleaning, analysis, visualization, machine learning, and ETL automation. Has worked with Python, R, SQL, Tableau, Excel, Power BI, PostgreSQL, MongoDB…
Data Analyst and software engineering student with experience in data cleaning, analysis, visualization, machine learning, and ETL automation. Has worked with Python, R, SQL, Tableau, Excel, Power BI, PostgreSQL, MongoDB, AWS, GCP, and CI/CD processes across academic, research, and industry settings.
Utilize Microsoft Excel, Tableau, and SQL for data cleaning, analysis, and visualization.
Extract insights on player psychology, revenue models, and opportunities for market expansion.
Engineered interactive dashboards via Redash and PostgreSQL for KPI reporting, tools and reporting for external teams, and addressing ad-hoc requests.
Cleaned, transformed, analyzed, and visualized data using Python (Pandas, Seaborn, Matplotlib) within Jupyter Notebooks to derive and communicate actionable insights.
Developed backfilling and automated CI/CD ETL processes using Python and Bash, migrating data from MongoDB to Postgres resulting in improved data integrity and availability through Cron jobs.
Analyzed A/B test results of in-game ads, deriving and reporting trends in conversion, retention, and revenue.
Implement machine learning NLP techniques in R to conduct sentiment analysis of survey responses.
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