Mudit Saxena

• Worked with clients to identify requirements and translate them into simpler technical problems • Explained technical concepts and findings to non-technical audience • Led the efforts to design and develop machine learning pipeline for various technical problems • Worked with: - Product team to design reports to visualize the findings and insights - Data engineering team on data QA - Sales & Marketing teams to identify key points for presentations/blogs - Customer Success team to identify and deliver insights to clients through tableau dashboards • Forecasted daily sales for a tennis tournament and difference from actual revenue was less than 1% at the end of tournament • Developed customer segmentation module using kMeans and GMM along with RFM analysis for identifying distinct groups for targeted marketing resulting in 8% improvement in sales • Wrote SR&ED documentation and maintained code repositories and time sheets for audit • Coached interns on retention modelling and sentiment analysis modules

• Developed propensity models: - Retention: Find probability of a package buyer to renew their package next season. Customers at risk of not renewing were identified and action-ed upon on a timely basis to retain them resulting in improvement of 3-7% in renewals - Product/Event/Promotion: Which product/event/promotion is a customer likely to buy a ticket for in order to increase engagement • Developed a ticket pricing module to: - Identify price points for different seats with the objective of revenue maximization. Teams saw an opportunity for 3-8% incremental revenue - Conduct venue rescale analysis for regrouping seats to match the demand & it helped with additional 2-3% revenue - Revenue generated was in the range of +-1% of recommendations from pricing module and in the range of $3-$5M USD • Built a customer lifetime value(CLTV) module for: - Package buyers using state transition modelling - Individual ticket buyers using BTYD model

• Worked on creating a virtual data warehouse from salesforce and SQL Server instance using Denodo for various clients • Built a demand and pricing model for a wellness client

• Identified valuable customers using RFM and Top of Wallet Customers • Analyzed large volumes of customer transaction data using Tableau to discover trends and insights into the purchase and usage patterns of different types of cards across different transaction channels • Worked with credit card transaction data to identify Next Best Product which different merchants can offer, using Market Basket analysis and conceptualized and visualized key findings into a highly intuitive tableau dashboard

• Worked for Simulation Software & Technology (Singapore), Innoplexus and Evolvalytics (India) during this period • Responsible for data collection from different resources to create a master data source • Analysis of data to identify patterns and trends and their visual representation using Tableau • Worked on Market Basket Analysis and RFM to understand customer buying behavior and lifetime value • Worked on customer segmentation using methods like k-means with Expectation Maximization and DBSCAN and classification of segments into different personas formulated from social media profiling • Worked on an application for Individual Identity matching using user profiles from different social media platforms • Built a web crawler to collect information from public portals • Implemented LDA for topic modelling and an application to compute subjectivity of text data • Implemented 2 methods for obtaining the sentiments, classifier based and dictionary based • Created a web service to make text analytics capabilities available to the application being developed • Worked on methods to improve the forecast and inventory optimization in R and Excel

• Designed a web portal for sentiment analysis. • Built a custom web crawler which based on user input system will crawl specific information from the specified websites. • Created a text analytics engine for obtaining subjectivity and context from the text which could be used to improve consumer experience. • Technologies and Tools: R, Python, Java, Javascript, JSP, Postgre SQL

Part of a team in travel domain and worked on development of booking platform using Java. • Developed application using Java, JSP, Struts, Javascript, ExtJS • Created unit test cases and system test cases and conducted testing at different levels of development cycle. • Created functional and technical design documents before starting with any technical activity.

Part of a team in manufacturing domain and worked on a data replication application using Java. • Developed application using Java, JSP, Servlets, Struts, Javascript • Created unit test cases and system test cases and conducted testing at different levels of development cycle. • Created functional and technical design documents before starting with any technical activity. • Team received best team award in 2011 in L&T Infotech annual awards.