Apr 2022 – Dec 2023 · 1 yr 8 mos · Gurugram, Haryana, India

Nov 2020 – Apr 2022 · 1 yr 5 mos · Gurugram, Haryana, India

• Responsible for analysis, design and development of Analytics applications.

Mar 2018 – Oct 2020 · 2 yrs 7 mos · Noida, Uttar Pradesh, India

• Working with R& D team in one of the largest Pharmaceuticals Company. Experience with Analytics based application development focused on Agile.
• Mining high-dimensional raw data from multiple sources, wrangling & Exploratory Data Analysis of clinical trial datasets.
• Applying traditional or machine learning techniques and producing statistical inferences.
• Converting data and insights into meaningful graphics or tables to deliver analytic insights and recommendations effectively.
• Developed enterprise ready Shiny web applications in R with visualizations (Stacked bar chart, doughnut chart, Sunburst chart, p-chart, Sankey Diagrams) & Statistical insights of clinical trial study reports.
• Measure of MCC defined KPI metrics for regulatory & quality compliance.
• Performance improvement of CRO, sites & clinicians by enabling insights in form of interactive Visuals which helps clinicians better decision making.

Aug 2016 – Mar 2018 · 1 yr 7 mos · Mumbai Metropolitan Region

• Working for Retail Mortgage Lenders, responsible for risk assessment, minimizing it
• and providing data driven business insights for efficiency improvements and risk
• mitigation.
• Developed classification model to Identify high risk loan applications likely to be
• approved and reject them and low risk applications likely to be rejected and
• approve them which increased approval rate by 18% without compromising the
• asset quality.
• Developed Risk Scoring Analytics model using regression technique which is
• primarily used for identify the quantum of risk based on individual customer
• score. The score is used for underwriting decision and mortgage pricing

Aug 2015 – Apr 2016 · 8 mos · Navi mumbai

• As Risk Analyst, working in Underwriting department and providing the decisions for
• approval/rejection of Mortgage loans based on the thorough review of borrower's
• creditworthiness.
• Analyzing the credit risk associated with a mortgage and detection of red flags.
• Created the multiple POC's for automation in Residential Mortgage Underwriting
• Loan Origination System