• Refactored legacy financial reporting process using Snowflake and Python and reduced processing time by +50%• Migrating metric calculation to dbt and BigQuery to automate data ingestion and increase efficiency by at least 40%• Partnering with data science and engineering teams in APAC and North America to transform raw data into usable tables for machine learning

• Build and maintain robust ELT pipelines using advanced SQL and git workflows to transform data from disparate sources into one centralized analytics dashboard; won spot award in Q1 ’23 for increasing data accuracy and company-wide accessibility to 90%• Partner with Engineering, Product and FP&A Teams to translate business needs into scalable data infrastructure and visualization tools and accelerate data-driven decision making by +25%• Analyzed profitability of digital products to assist Executive Leadership Team’s product strategies for 2023; won spot award in Q4 ’22 for delivering high-quality analyses in tight deadlines

• Spearheaded data pipeline development and analytics using Python to generate real-time analytics and optimized firm ROI by +30%▪ Deployed sophisticated causal inference models to evaluate the impact and cost-benefits of client’s USD +19 Mn social development program and direct client strategies for 2021-25▪ Managed a cross-functional team of consultants, analysts, data managers, and engineers to deliver data-driven strategy solutions for 15+ clients in energy, agriculture and international development

• Assessed market competition for antitrust authorities by analyzing technology sales data in SAS for global technology merger • Analyzed energy production and trade data to aid in expert testimony for regional and international arbitration cases

• Collaborated with the WFI team to organize weekly financial literacy lectures and bi-annual entrepreneurship programs• Designed posters and advertised programs of WFI through social media and campus-wide campaigns

• Designed individual learning strategies based on students’ needs, organized and led study sessions. Improved 30+ students’ performance in quantitative/economics courses• Reviewed literature to examine the effects of technology adoption on agriculture in South Asia. Demonstrated a relationship between income and technology adoption

• Conducted a causal inference study using STATA to evaluate the labor market impacts of environmental regulations on manufacturing sectors in Britain and Germany•Confirmed a lower negative impact in Germany and communicated results in policy discussion with 20+ EU economists