- As a part of Analytics and Data Science Team, outpaced user experience by deploying machine learning predictive models- Guided the product, design and engineering teams to plan product changes by assessing A/B testing- Univariate and bivariate analysis on various variables to understand their impact on business.- Worked on R, SQL, Excel, google ad words keyword planner

I worked in the deal analytics department, handling financial data for large corporations during mergers. Our task involved integrating data from various sources, transforming it, and reporting in a concise manner. We generated insights on where synergies existed in the acquired entities and identified opportunities for cost savings.In one of our projects, the client was considering the acquisition of a company, so we examined its financials to identify any risks and opportunities. Our… Show more I worked in the deal analytics department, handling financial data for large corporations during mergers. Our task involved integrating data from various sources, transforming it, and reporting in a concise manner. We generated insights on where synergies existed in the acquired entities and identified opportunities for cost savings.In one of our projects, the client was considering the acquisition of a company, so we examined its financials to identify any risks and opportunities. Our analysis revealed that the company was artificially inflating its customer retention metrics. This insight enabled our client to make an informed decision to withdraw from the deal, saving them millions of dollars. Show less

- Segmentation project for a leading Retail client based out of Australia- The client wanted to understand their partners and customers buying behavior so they can offer attractive price based in their needs. Provided data consulting to the client as the data was too big and the client was unaware about the data dictionary- Lead the above project with 2 Data Scientists, defined KPIs on which the segmentation could be done. The data size was too big and entire feature engineering and… Show more - Segmentation project for a leading Retail client based out of Australia- The client wanted to understand their partners and customers buying behavior so they can offer attractive price based in their needs. Provided data consulting to the client as the data was too big and the client was unaware about the data dictionary- Lead the above project with 2 Data Scientists, defined KPIs on which the segmentation could be done. The data size was too big and entire feature engineering and modeling was done on Alteryx. Technologies used - Python, Alteryx, K-Prototype clustering algorithm- Present solution design, architecture, development plan to the potential clients across the globe. Experience in stakeholder management to maintain working relationships with broad range of people. Show less

Used Analytics techniques to provide reports create data pipelines and dashboards for fortune 100 clients and managed VP level stakeholders on a day-to-day basis.

Panellist-India Representative at "Countering Violent Extremism in the Levant and Beyond" Workshop, sponsored by National Defence University, Washington in Casablanca, Morocco. Presented the project to 75+ Cyber Security Experts and CVE Experts from 35+ Gulf Nations.