I’m a data scientist with a Ph.D. in Cognitive Psychology and a graduate minor in Computer Science. My academic journey at The Ohio State University equipped me with a strong foundation in research, data analysis, and machine learning. I’ve published research findings and have hands-on experience in designing experiments, managing large datasets, and implementing statistical and machine learning techniques. My projects range from speech-to-text translation to real-time eye tracking, demonstrating my proficiency in Python, R, and cloud computing. I bring a unique blend of cognitive psychology insights and data science skills, making me a valuable asset to any team, dedicated to transforming data into actionable insights and driving innovation.
Built a website using Docker and conducted online controlled experiments with 1000+ participants, consolidated & processed data with SQL queries & stored final data in MySQL database.
Implemented multiple statistical data analysis and machine learning techniques such as generalized linear regression, neural networks, and Bayesian models to understand human behaviors using Python and R on AWS, visualized outcomes using ggplot2 & published the findings at 3 conferences as the lead author
Prepared engaging course materials and delivered weekly lectures to 60+ undergraduate students on Introduction to Psychology, including topics such as controlled experimentation, descriptive statistics, and inferential statistics.
Conducted 20+ qualitative interviews with ~15 questions concerning mental health of bereaved parents, collated the responses in an Excel file, identified 3 key themes & patterns in the data using Excel PivotTable & charts.
Developed data analysis approach for a developing personnel assessment approach, summarized advantages & drawbacks in a report to provide targeted feedback to management stakeholders.
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