Feb 2019 – Sep 2021 · 2 yrs 7 mos · New York, United States

• Responsibilities include end-to end development, implementation and tracking of US Consumer Prospect Acquisition Decision Model using State of the Art Machine Learning Techniques
• Evaluating different Data Sources and developing In-house capabilities to derive intelligence on Prospect Applications using NLP, Deep Learning and Reinforcement Learning Algorithms.

Sep 2018 – Dec 2018 · 3 mos · New York, United States

• Worked on Automating Real Estate Appraisal Services using Machine Learning and Artificial Intelligence
• Used Machine Learning Algorithms and python libraries to develop and analyse appraisal report to find best comparable properties with given property characteristics.

Jun 2018 – Aug 2018 · 2 mos · New York City Metropolitan Area

• Worked on Creating Intelligence using a New Data Source having 10 years of historical Trade Line Information about future prospects using Big Data Tool HIVE and Tableau.
• Used Machine Learning Algorithms and python to develop and analyse the new credit default model developed for Consumer Lending Segment.

Jul 2016 – Jul 2017 · 1 yr · Bengaluru, Karnataka, India

• Development of Smart Supply Chain Solution for warehouse operations
• Development of Automated Decision System to mimic the role of experienced hub operator. Delivered a Markov Decision Process Model using Reinforced Learning, Text Mining and Artificial Neural Network Algorithms using historic log data and calculating disruptive risks.
• Client Deliverable project on Ticket Analysis and Prediction Estimation.
• Use of Volume and Trend forecasting algorithms for estimating the number of tickets on a weekly bases. Use of Root Cause Analysis and First Call resolution to understand the sources of problem generation maximum tickets and understanding problems that have high probability to persist.
• Development of Choice Models for Assortment Planning in E-commerce websites for Profit Maximization.
• Use of Choice models for development of a personalized search and recommendation system and optimization of the same using Markov Decision Process.

May 2015 – Jul 2015 · 2 mos · Greater Seattle Area

• Algorithm development for deciphering SNPs(Single Nucleotide Polymorphisms) in a cancerous Genome.
• Integrated different software pipelines to perform RNA sequencing on unstructured sliced Genome sequence.
• Advisors:
• Prof. Sreeram Kannan, Assistant Professor at University of Washington

May 2014 – Jul 2014 · 2 mos · Greater Ahmedabad Area

• Developed Customized 64b/66b Line Encoding Technique on FPGA ActelProASIC 3C for faster data transfer on existing SerDes Technology.
• Advisors:
• Hari Shanker Gupta, Scientist at ISRO
• Ravi Shankar Chaurasia, Scientist at ISRO

May 2013 – Jun 2013 · 1 mo · Mumbai Metropolitan Region

• Developed algorithms for indexing and created Indexes on Excel. Worked on developing models and rules for insurance frauds
• Advisor:
• Dhirag Garg, Senior Manager at Quants Research, Royal Bank of Scotland