Team lead for a team of 6 over the six week internship containing 3 overall project deliverables, entailing a market landscape analysis, attracting new donors, and increasing brand awareness.• Created a slide deck with a detailed market landscape, including a competitor analysis and trend identification.• Included in the deck a prioritized list of growth recommendations, including target audiences, channels, service offerings, and funding models.• Made recommendations of an overall… Show more Team lead for a team of 6 over the six week internship containing 3 overall project deliverables, entailing a market landscape analysis, attracting new donors, and increasing brand awareness.• Created a slide deck with a detailed market landscape, including a competitor analysis and trend identification.• Included in the deck a prioritized list of growth recommendations, including target audiences, channels, service offerings, and funding models.• Made recommendations of an overall market strategy containing a time based action plan with deliverables set out for 3 months, 6 months, and 12 months. Show less

Collaborated with cross-functional teams to integrate data insights into business strategies and operations.• Led a team of 5 data analysts in deriving risk analytics insights from over 5000 image, text, and audio based assets on Highlyte AI.• Used Python and Jupyter notebook to analyze data and categorize files. • Converted statistical data into insightful visuals for three different asset classes using Tableau, Seaborn, and Plotly. • Generated a liability report from findings,… Show more Collaborated with cross-functional teams to integrate data insights into business strategies and operations.• Led a team of 5 data analysts in deriving risk analytics insights from over 5000 image, text, and audio based assets on Highlyte AI.• Used Python and Jupyter notebook to analyze data and categorize files. • Converted statistical data into insightful visuals for three different asset classes using Tableau, Seaborn, and Plotly. • Generated a liability report from findings, made recommendations to improve marketing strategies, and lowered risk of compliance policy violations by 45%. Show less

Financial analyst at the USF Stock Investment Club. • Led weekly meetings on US and global stock market updates and stock pitches stock to 50+ members.• Created DCF and CCA financial models to determine company valuations and forecast growth.

Board member and head of department.• Built, managed, and updated the organization’s website. • Represented the Stock Investment Club at professional networking and collegiate events. • Led a team of 8 members to increase engagement by 130% across social networking platforms.

Led a team of 3 data scientists to create predictive models and forecast sales outcomes.• Analyzed sales trends over past 3 years and created a time series model forecasting the monthly waybill revenue growth.• Composed a report and presentation highlighting key elements of the model and company recommendations based on sales analysis.• Performed data cleaning, feature engineering, data analysis, and data visualization using Pandas, Seaborn, Sqlite3, and Sci-kit learn libraries for… Show more Led a team of 3 data scientists to create predictive models and forecast sales outcomes.• Analyzed sales trends over past 3 years and created a time series model forecasting the monthly waybill revenue growth.• Composed a report and presentation highlighting key elements of the model and company recommendations based on sales analysis.• Performed data cleaning, feature engineering, data analysis, and data visualization using Pandas, Seaborn, Sqlite3, and Sci-kit learn libraries for Python. Show less

Chief Technology Officer of a portable charger rental startup.

Student researcher selected to work on an undergraduate level research paper. • Researched image processing and computer vision techniques such as geometric and morphological transformations and line and feature detection. • Segmented images, tracked colors and motion, and investigated face detection using Kalman Filters. • Created a fall detector program using Python and OpenCV that passively monitors people of an elderly age.• Co-authored a computer vision research paper with… Show more Student researcher selected to work on an undergraduate level research paper. • Researched image processing and computer vision techniques such as geometric and morphological transformations and line and feature detection. • Segmented images, tracked colors and motion, and investigated face detection using Kalman Filters. • Created a fall detector program using Python and OpenCV that passively monitors people of an elderly age.• Co-authored a computer vision research paper with Prof. Susan Fox (PhD) from Macalester college. Show less