Saurabh Goyal

• Tech Product Management: Led team responsible for developing Smart Pricing Application which is being used by Relationship Managers when discussing contractual numbers with Bank’s Corporate clients. • Finished POC on GenAI: Trained an LLM including bank proprietor data for insights and innovation. • Designed Product Roadmap, WBS document & validated idea for Multibanking Product (APIs - Banking as a Service for Airline Industry)

Problem : Minimize the Passive attack rate, cyber attacks. Roles and Responsibilities: • Work with R&D team to analyze different interaction patterns. • K means clustering for segmenting different patterns. • Classification of new request, and enhancing the Security features of products. Tools Used : Spark MLib, Scala, K- Means Machine Learning Algorithm.

Problem : Enhance mobile application for better market penetration Roles and Responsibilities: • Used Google Analytics for insights about customers, usage flow & behavior, bounce rates ,marketing channels etc, • Designed a Recommendation System using Spark MLib, Scala using ALS Algorithm ( User – User Model) • Validation of top play counts with social media analytics. Tools Used : Spark MLib, Scala, Alternating Least Square Algorithm, Google Analytics, Flume, HDFS.

Increase Return on Investment for customized offers Roles & Responsibilities : Roles and Responsibilities: • Spark SQL Library to answer Business Question (Customer Segmentation, Quality Issues) & Subset the Data. • Pre Processing & Transformation of web crawling Data using Scala. • Recommendation on customized offers for increasing conversion rate. Tools Used : Spark SQL, Scala, SQL

- Data Extraction, Data Pre Processing, Data Visualization, Predictive Analytics, Model Validation & Testing. - Have worked for multiple clients in Europe, Have worked at Client location in Munich. - Fluent in English and adaptive with German culture & Elementary German Language.

Enhancing the shipping balance and provide with better shipping time estimation Roles and Responsibilities: • Analysis of Data, Discussed insights with Business. • Linear Regression Model to predict better shipping time. • Applied Poisson Distribution for better accuracy. Tools Used : R, Excel, Linear Regression Algorithm, Statistics

Roles and Responsibilities: • Analysis of Data, Understand Fraud Patterns in past. • Implemented Random Forest for credit card Fraud Detection. • Implemented Logistic Regression, multiple Iterations. • Stacking of RF & LR models for better accuracy. • Post Implementation , fraud rate came down from 3.6 % to 2.3%. Tools Used : SAS, R, Random Forest Algorithm, Logistic Regression Algo

Data in the form of .csv file was made available & copied to HDFS. Travelled to Munich to work with the Senior Actuaries at Munich Re. Roles and Responsibilities: • Data processing methods using PIG and then some Data queries using Hive. • Queries to perform basic exploratory analysis on the data available. • End objective was to study external factors which influenced the valuation and then did Risk Analysis. • Reports & Dashboard area generated using Tableau.

The Project Forecast Claims and Premiums Munich Re can expect from their clients. Travelled to Germany to understand Business and work closely with the Client Munich Re. Roles and Responsibilities: • Data Preparation. • Linear & Logistic Regression Model Designed using SAS. • Validated the Models.

Administration Tool to connect Munich Re and its Clients including the Agreement and Terms of use. Worked from Germany for the ease of understanding Business. Roles and Responsibilities: • Worked at Client location in Munich handling the Migration Test, Database Test. • Did User Acceptance Testing & Coordinating other teams. • Automation using Ranorex for Quality Assurance.

Product Management & Digital Transformation

- Engineering Mathematics - Computer Programming - Data Structure & Algorithms - Database Management System - Design & Analysis of Algorithms - Data Mining & Warehouse - Distributed System - Unix Network Programming