ANKUR GAUR
Senior Staff Machine Learning Enginneer
Bangalore
Summary
Data Scientist with 9+ years industry experience dealing with AI/ML modeling and deployment with advance understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent team player SME in Payments and scalable systems.
Overview
10
10
years of professional experience
5
5
years of post-secondary education
5
5
Certifications
Work History
Data Scientist
Visa
Bangalore
02.2018 - Current
- Implemented Stand In Processing to authorize transaction when the Issuer is not available using deep learning model
- Fraud and risk assessment on Forcepost transaction using the ML model.
- Re-Architectured and implemented the fee assessments to each transaction at the time of authorization using distributed computing and data centric decision.
- Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
- Extracted and assessed data from databases to drive improvement of product development and business strategies and processes.
- Implemented the Platform Architecture for handling of 250 million financial transactions on a daily basis, with electronic fund transfer, which amounts to 12.3 Trillion Dollars annually
- Settling Transactions amounting to 12 trillion USD annually with 99.999496 accuracy & 99.9997 uptime Worldwide
Product Developer II
Computer Science Corporation
Bangalore
10.2016 - 01.2018
- Design & develop the celerity fintech product which enabled platform- independent performance with no dependency on the mainframe to run financial transactions on a local system within which we migrated the core Hogan suit from assembler to Cobol
- Master card (Online Delivery System): An interface to transfer the plastic information from the merchant to the issuer for a transaction; we developed & enhanced the MasterCard card transaction system by using the Hogan product suite which enabled business compliance designed for MasterCard
- Coordinated with the product and marketing teams to determine what kind of client interactions resulted in maximized service opt-ins, increasing conversions by 18%
- Partnered with the product team to create a production recommendation engine in Python that improved the average length on page for users and resulted in $225,000 in incremental annual revenue
- Compiled and analyzed data surrounding the prototypes for a prosthesis, which saved over $1M in its creation
Senior Software Engineer
Capgemini
Bangalore
07.2013 - 10.2016
- Insured Purchased Mortgages Enhance the newly implemented Capital Markets Purchased Mortgage processing in RWCA to support mortage Requirement gathering,coding and deploying changes
Research Assistant
TiFA -CORE
09.2012 - 06.2013
- Tracked, extrapolated, and interpreted customer data using Python, SQL, and Excel to report customer behaviors and state-wide retention numbers
- Conducted research, analyzed business operations, and problem solved operating inefficiencies, saving companies a combined 800 man hours a month
- Communicated strategies to analyst team, and received valuable feedback regarding approach to business observations
Education
B.Tech - Engineering
Inderprastha Engineering College
08.2008 - 06.2012
Post Graduate - Deep Learning
Indian Institute of Science
Bangalore 04.2021 - 04.2022
Skills
Python( Panda, Scikit, Pyspark, Pytorch)
C, C, JAVAMachine learning
Agile Methodology
Data Mining
Cloud Computing
Distributed Computing
Certification
Azure DP 100
Timeline
Post Graduate - Deep Learning
Indian Institute of Science
04.2021 - 04.2022
Data Scientist
Visa
02.2018 - Current
Product Developer II
Computer Science Corporation
10.2016 - 01.2018
Senior Software Engineer
Capgemini
07.2013 - 10.2016
Research Assistant
TiFA -CORE
09.2012 - 06.2013
B.Tech - Engineering
Inderprastha Engineering College
08.2008 - 06.2012