Nitish Raj Email & Phone Number

Luxembourg

Luxembourg

Luxembourg, Luxembourg

- A/B testing and impact analysis of weekly changes in supply chain metrics- Collaborate with multiple business functions to define, refine and implement KPIs- Facilitate weekly business reviews

Bengaluru, Karnataka, India

- Developed and deployed machine learning models- Created a mechanism for finding incorrect product classification- Designed data architecture for web applications - Improved the quality audit process by creating sampling and work allocation solutions

Bengaluru, Karnataka, India

- Setup monitoring system which enabled compliance teams to reduce manual review errors by ~50%- Developed proactive risk mitigation approach to reduce escalations by 60% and errors by 15%- Creating sampling and work allocation solutions that optimised sample size by 45%

Bengaluru, Karnataka, India

Worked with a leading retail and pharmaceutical companies to provide solutions for following business problems:1. Transactional TransparencyImplemented a standardized data architecture and QlikView visualization to effectively track spends and transactions across multiple business metrics. Successfully addressed the challenge of unstructured and foreign language data in the European market.2. Ambiguous Transaction IdentificationLeveraged time-series clustering and trend analysis to identify and group similar classes of transactions. Utilized YoY change in transaction value, combined with multiple statistical rules, to isolate exceptional or ambiguous transactions. Visualized the findings in Tableau to facilitate comprehensive analysis.3. Campaign Analysis and Value AdditionConducted pre- and post-value add analysis of offers on closed loop credit cards, by segmenting transactions and monetary value. Utilized Tableau to effectively visualize the results at multiple levels, driving insightful business recommendations.

Bengaluru Area, India

Collaborated with an insurance company's Marketing and Underwriting teams to give solutions for business problems.1. Multi-channel Attribution (MCA): Teamed up with the marketing department to develop a data-driven method to determine the best customer channels and proper use of budget. Two different methods were used:- Algorithmic approach: Used Hidden Markov Model (HMM) to identify the best sequence of channels for attracting customers.- Heuristic approach: Created a scenario to distribute sales channels effectively, even faced with limited data.2. Classification and Predictive Modeling- Net Promoter Score (NPS): Measured customer ratings and used it to predict possible behavior of customers.- Active/Dormant Classification: Used decision trees to categorize customers based on their recent activity.Both models were then used for tailored marketing campaigns.3. Reporting for Underwriting Enhanced a tool to present all-inclusive reports of product performance for business analytics.4. Sales and Claims Forecasting Used trend analysis and forecasting for sales and claims data and the insights were used to optimize company resources.

Bachelor Of Engineering (B.E.), Computer Science, 7.38

Activities and Societies: Member of De-Coders - The programming club Subjects: - Engineering Mathematics - Database Management Systems.

High School, Science