Aug 2018 – Jan 2019 · 5 mos · Singapore

• Selected as a Fellow in the fourth cohort of Entrepreneur First, Singapore (EFSG4)
• Entrepreneur First brings together extraordinary people from across the world to build deep tech companies from scratch. EF is backed by Reid Hoffman (founder of LinkedIn), founders of DeepMind and Paypal, Greylock Partners, Mosaic Ventures and some of the world's other top investors. Since 2011 EF has worked with 1200+ individuals to build over 230 startups that are valued in excess of $1.5B as of 2018.
• The Singapore program works closely in partnership with SGInnovate, the Singapore government's innovation arm, to encourage early-stage startups.
• https://www.joinef.com/

Jan 2017 – Jul 2017 · 6 mos · Bengaluru Area, India

• Co-Founded V-Speakers (Toastmasters Club of Visa Bengaluru) and played a pivotal part right from the genesis of the Club to the official instantiation and initiation.
• Served as Vice President, Public Relations for the first term of the Club. Led the Club to win laurels at the District level.
• Broad Responsibilities include -
• ✦ Member of the executive committee and the chair of the public relations committee.
• ✦ Protect the Toastmasters brand.
• ✦ Responsible for ensuring committee members, as well as other club officers fulfill their
• responsibilities.
• ✦ Increase awareness of Toastmasters through local news and social media.

Jul 2015 – Jul 2018 · 3 yrs · Bengaluru Area, India

• Part of the PaaS (Platform as a Service) Analytics team under Visa Data Labs .
• ✦ Successfully filed two Trade Secrets - a Queue Management Tool that increased internal operational efficiency of Big Data Platform by over 30% and a Graph based Big Data Analytics Model.
• ✦ Primary work includes driving Hadoop POCs vis-à-vis spurring Predictive Analytics and Platform Optimization. Played a major and leading role in Spark and Kafka Cluster Development at Visa.
• ✦ Led the seven-member Optimization Scrum Project with multiple deliverables such as Hive Sentry authorization, Hot/Warm/Cold analysis of datasets, Kafka MirrorMaker, Long running Spark jobs auditing and Fair Scheduler Vs. Capacity Scheduler
• ✦ Reimplemented existing Ab Initio graphs (performing ETL processing) in Hadoop using Hive for the restructuring of Visa's Tech Stack under the Long-Term Architecture project.
• Handled an average of about 150 million transaction records per day and led to savings of Abinitio Licensing Fees ; Obtained speed ups of about 10x over the prior architecture.
• ✦ Conferred with the Above and Beyond Award (awarded to top 2% of employees).
• Extra Curriculars :
• ✦ Visa Booth Engagement Manager, Winter Olympics 2018, PyeongChang: Selected in the Ten-Member Visa Olympic Contingent for the management of customer service related issues and promotion of Visa Technology Products such as Visa Checkout, Apple Pay and PayWave.
• ✦ Proposed the concept of “Visa Scholar”– an internal repository of White Papers – to increase employee recognition. Rolled out a preliminary MVP for 200+ people of Data Platform.
• ✦ Founding member of the Visa Synapse Team (team responsible for organizing and inviting internal as well as external speakers for 'ideas worth spreading' in a TEDx-esque manner)

Jun 2015 – Jul 2015 · 1 mo · Bengaluru Area, India

• The Indo-French Centre for Applied Mathematics (IFCAM) has been jointly set up by the Indian and French Governments at the Indian Institute of Science, Bangalore as an international joint research unit (UMI). IFCAM is designed as a platform for cooperation in mathematical sciences with the primary focus being the area of applied mathematics.
• The Summer School selects participants on the basis of research work carried out in the past by them.
• IFCAM boasts of lectures by eminent professors to introduce many of the modern concepts in Applied Mathematics to students.

May 2014 – Jul 2014 · 2 mos · Kolkata Area, India

• ‣ Project in Text Mining (Data Modeling) to find the categories of any news.
• ‣ The project involved bunching together of news stories to form a cluster according to their categories so that it helps in faster decision making. 80% accuracy in total was achieved.
• ‣ Implementation of latent dirichlet allocation (LDA) using python.