- Designed and automated 50+ data validation processes using SAS, SQL, and various procedures for ~100 million records of ever-growing COVID-19 and 12 diseases surveillance datasets, improving data accuracy, efficiency and consistency. E.g.The automated data element validation process reduced validation time for 17,000 variables from 7 days to 1hr.- Initiated, developed and visualized 120+ dashboard tools using Power BI, enabling technical and non-technical leadership, scientists, and… Show more - Designed and automated 50+ data validation processes using SAS, SQL, and various procedures for ~100 million records of ever-growing COVID-19 and 12 diseases surveillance datasets, improving data accuracy, efficiency and consistency. E.g.The automated data element validation process reduced validation time for 17,000 variables from 7 days to 1hr.- Initiated, developed and visualized 120+ dashboard tools using Power BI, enabling technical and non-technical leadership, scientists, and researchers to gain insights and make better decisions. These tools helped identify and solve 500+ data quality issues.- Trained and led analysts and other SMEs with performing daily tasks such as ad-hoc reports, data investigation, ETL processes, data validation and data visualization.- Led the strategic transition of a national analytics database from on-prem to the cloud (Azure); adeptly defined product requirements within an agile framework, and collaborated closely with engineering teams to build a robust, scalable and efficient cloud-based database. Show less

- Contributed to the standardization process of key business metrics at Uber and worked with stakeholders from various market teams to agree on uniform metric definitions. - Implemented anomaly detection methods for business metrics. - Created a general tool for assessing the business impact of technical events, which estimates the counterfactual completed trips without incidents using nonparametric kernel regression.

Participated in various client and internal projects in the areas of sales forecasting, corporate spending forecasting, energy demand forecasting, etc. - Implemented forecasting solutions using algorithms including traditional statistical models, ML models, and Recurrent Neural Networks (RNNs)

Performed all phases of statistical analysis and hypothesis tests; led predictive projects using various machine learning algorithms; resulted 72% reduction of clients drop-out rate

Conduct descriptive and visual statistical analysis on user query data to show the marketing status of the client industry among the target consumer groups