• Designing, implementing, and maintaining batch and streaming data pipelines between various SQL sources, and target data lakes in S3.• Continuously monitor and optimize the performance of the data pipelines, addressing bottlenecks and ensuring efficient data processing and delivery.• Created interactive dashboards in Power BI and integrated machine learning models to provide predictive analytics and actionable insights, optimizing processes, and driving decision-making.

• Developed a business model for a brewing company leveraging Monte Carlo simulations to boost its profit margins by 20% over a span of 3 years.• Assisted faculty with grading coursework and conducting consultation sessions for a cohort of 200 students, guiding them in applying quantitative and qualitative tools to fine-tune a decision-making process.

• Developed a process to rank the top 100 US University business analytics programs to identify leaders and competitors using visualizations in R, improving time efficacy by 30% • Collaborated with the ADA and CS research teams, contributing expertise in business analytics and quantifying the impact of data-driven solutions on key performance indicators, resulting in a 5% improvement in business outcomes.• Devised a machine learning model to predict university rankings over a 10-year span, leveraging pre-defined KPIs to effectively generate rankings for BU, and thus predict the scope for improvement, resulting in an improvement in the MSBA program rankings by 4 places.

Developed a customer retention model to acquire government contracts across countries, resulting in additional revenue of USD 15 million.Devised a scheduling tool for staff management to assign employees effectively to offices across Asia leading to an increased efficiency of staff deployment by 15%Designed a SQL database for data analysis of VFS centers across India, to identify ZIP codes with the greatest Visa applications to pinpoint potential cities for new Visa centers.Implemented a stochastic optimization model in R to create a market demand curve in order to identify 100 potential cities across Asia for opening new VFS centers.