Mar 2024 – Aug 2025 · 1 yr 5 mos · Gurugram, Haryana, India

• 1. Managing a team of 3 data scientists and 1 data engineer to design and manage the US SBS acquisition credit risk models.
• 2. Develop automated dynamic visualizations for customer new accounts portfolio tracking using Spark & Power BI to strategize portfolio risk management in collaboration with leadership and partner business units.

Aug 2022 – Mar 2024 · 1 yr 7 mos · Gurugram, Haryana, India

• 1. Led the development and implementation of next gen Credit Risk PD Model (XGBoost) for US Small & Medium Business with an est. PTI impact of $29.1 million for 1 year of acquisitions.
• 2. Supervised and guided multiple trainees and team members on various projects like Time Value of credit risk models, independent variable relationships with macroeconomic changes over time and Analyzing Univariate & Multivariate Missing Imputation Techniques (MICE, KNN, Stochastic & Linear Regression).
• 3. Designed and created the automated model monitoring framework & standardized Power BI dashboards for US SBS acquisitions. Analyze trends, business KPIs & leverage insights to identifying opportunities and enhancement in the model.
• 4. Leverage Ascend Sandbox to utilize credit bureau data to increase model accuracy and performance.
• 5. Support platform migrations, testing new tools and ensure data integrity in production environment.

Aug 2021 – Jul 2022 · 11 mos · Gurugram, Haryana, India

• 1. Credit Risk model development (PD model) to assess new customer acquisition creditworthiness by leveraging various credit bureau data based on tradeline and historical financial performance of applicants. Projected PTI impact of $6.2 million for 1 year of acquisitions.
• 2. Working in collaboration with Strategy, Compliance & Data teams for model refinement, acquisition directives, case reviews, variable & model tracking, variable correction and new data ingestion to maximize business returns.
• 3. Statistical analysis of credit bureau data to reevaluate data attributes & updates according to business standards.
• 4. Supervised and guided a trainee for the completion of his project - To solve for under-prediction in the credit risk model for a category of customers.

Jul 2020 – Aug 2021 · 1 yr 1 mo · Chennai, Tamil Nadu, India

• 1. Delivered 5 major projects within a span of 1 year in various domains such as Supply chain, Engine Manufacturing & Raw Material Consumption involving failure prediction, predictive analytics and forecasting.
• 2. Developed algorithms for monitoring process key performance indicators, trends, patterns, abnormality, perform root cause analysis and create optimization solutions. Built analytical models and visualization dashboards for identifying bottlenecks and measuring process efficiency.
• 3. Data pipeline creation for extracting and integrating data leveraging technologies like MQTT, SQL & Hadoop.
• 4. Value delivered in terms of reduction in OTD time, vehicle inventory costs, raw material costs, warranty costs, preventing machine failures, defect reduction and energy conservation with an est. savings of $2.2 million & 800-man hours per year.

May 2019 – Jul 2019 · 2 mos · Chennai, Tamil Nadu, India

• Project: Develop Algorithms for predicting equipment performance using real
• time data
• Measuring performance and predicting the self-diagnostic health check-up
• failure in Brake Oil & AC Coolant Filling Machine -TCF
• Forecasting the time required to achieve the required booth temperature &
• humidity levels in paint shop

Jan 2018 – Jun 2018 · 5 mos · Nabha, Punjab

• Project: Work knowledge of assembly line & solving service engineering problems
• Understanding the practical aspects of service engineering
• Prepare job cards, product performance reports (PPR), warranty claim, customer satisfaction note, dealership visit report and monthly report

Jun 2017 – Jul 2017 · 1 mo · Mohali

• Trainee at Thermal System Divisions (TSD) Department, SCL, Department of Space.
• Project: Study of Refrigeration and Air Conditioning System
• Analyse the working of all components involved in vapour compression cycle
• and the working of a Chiller

Jun 2016 – Jul 2016 · 1 mo · Mohali

• Trainee at Production & Quality Management Department of Philips India Limited.
• Project: Work knowledge of Assembly line
• Understanding the working of the assembly line of CFL & tube lights and
• analyzing production layout