- Built and trained a global data science and analytics team of 4 hybrid/remote full-time employees in the USA and India; developed onboarding materials to train new hires on the crypto industry, blockchain data, and internal data architecture - Boosted revenue and reduced the time to bill by re-engineering a complex billing system; emphasized accuracy, reproducibility, and scalability which led to additional layers of customization and ability to sell new products - Led routine check-ins with key stakeholders across product, engineering, compliance, legal, and marketing teams to improve alignment and monitor progress of key initiatives -Automated multiple data pipelines in Python and Airflow to pull data from various internal sources (internal data systems, Google Analytics, Google BigQuery, etc.) and external sources (publicly available blockchain data APIs), providing insight into the overall crypto ecosystem and telling a story about our competitive position- Manipulated and transformed raw financial and economic datasets into interpretable KPIs, data visualizations, and interactive dashboards, allowing leadership teams to better understand both our B2B and B2C businesses - Analyzed customer data to recommend pricing strategies, identify client risk, and establish benchmarks to define our performance; established periodic checkpoints and milestones to monitor new initiatives alongside established products; Developed plans to implement ML models to predict client risk, identify marketing qualified leads, forecast revenue, and predict performance of potential new products or services

• Teach Perspectives in Data Science I and II in the Master of Statistical Practice (MSP) program. Topics covered include data science ethics, data visualization, statistical coding, predictive analytics, machine learning, artificial intelligence, and communicating technical results to nontechnical audiences• Create all course materials, including syllabi, biweekly lectures, assignments, and project requirements• Implement an agile approach to teaching, requesting routine feedback to continuously improve engagement and learning among students• Advise multiple teams of students in research and corporate consulting engagements

• Scope, design, and execute data science consulting projects to multiple clients across diverse sectors, recommending actionable, data-driven strategies to improve business outcomes

• Led a global analytics team of ~10 employees based in Washington, DC and Bangalore, India; developed pilot programs to understand the capabilities and skillset of each incoming team member; built training modules to grow data science skillsets

• Advised dozens of clients in prioritizing investments within key BRICs countries by expanding database to include new subnational (state/province/city) markets• Created roadmaps to organize and prioritize improvements to company’s econometric database based on client needs; determined timing of new and existing datasets and analytical tool development

• Designed, maintained, and managed the monthly data process which consists of extracting 800k data series from over 60 public data sources, normalizing data, forecasting data, transforming data, and publishing data• Leveraged proprietary forecasting algorithms to build new custom product for global consulting team to forecast market size data – delivering high value analysis and actionable results for our clients• Led 5 - 8 predictive analytics consulting engagements annually; clients include senior executives from large MNCs conducting business in international markets; delivered presentations to describe methodology, data analysis results, and key takeaways• Managed the data analytics team with 2 – 5 direct reports, many with international backgrounds

• Created a database of international economic data to displace existing data subscriptions, resulting in significant cost savings, as well as new subscriptions• Utilized econometric and statistical methods (AR, ARIMA, regression, etc.) to build accurate forecasting models to algorithmically forecast over 690k time series datasets automatically each month; Forecast accuracy rivals established competitors based on FocusEconomics forecast accuracy awards – 5 first place awards in 2017• Partnered with research analysts, PhD level economists, data scientists, and faculty at Johns Hopkins SAIS to brainstorm and validate econometric forecasting methods; Developed training modules to train research team on forecasting methods• Collaborated with software developers on implementing big data techniques and solutions, including Amazon DynamoDB, to ensure efficiency, reliability, and scalability

• Independently created custom reports by writing repeatable SQL scripts to combine and analyze data from multiple, large datasets• Collaborated with colleagues on future developments, including improvement of data collection, survey methodology, and audience measurement

• Analyzed and visualized pharmacogenetic data by programming in SAS for multiple projects and clinical trials • Utilized hypothesis tests, multiple testing considerations, mixed models, etc. on large, pharmacogenetic datasets of genetic SNPsBioStat Solutions, Inc. (BSSI) is a statistical consulting corporation in service to leading pharmaceutical, biotechnology and research industries worldwide. Establishing a robust approach to biostatistics in the design of your pharmacogenetic and clinical studies will improve pipeline efficiency, reduce risk and cost, and increase your likelihood of success in the regulatory process