Data Scientist
• Utilized Python and R to conduct statistical modeling analysis on 100+ GB of financial analytics data,uncovering trends that contributed to a 15% increase in funding efficiency.• Identified underperforming Industrial Research Assistance Program (IRAP) companies with inefficientfund usage, saving senior management $500K a year.• Extracted and consolidated data from 20+ datasets using SQL, reducing data retrieval time by 30%.• Automated reporting dashboards in Power BI, saving 10+ hours a week of manual data entry.• Collaborated with 20+ team members to develop growth strategies for lower revenue IRAP companies.