Jan 2022 – Mar 2023 · 1 yr 2 mos · Bangalore Urban, Karnataka, India

Jan 2021 – Jan 2022 · 1 yr · Bangalore Urban, Karnataka, India

• We, at Shubu.ai, are building a Voice First Platform for interacting with Computers and the Internet.
• We believe that typing is a very inefficient way for people to interact with Tech products and this needs to change.
• We are starting off with the Healthcare industry and approaching the problem in a verticalized manner similar to Amazon. This allows us to achieve a superior accuracy on the speech to text for different accents and verticals.

Jul 2020 – Jan 2021 · 6 mos · Bengaluru, Karnataka, India

• Worked on various initiatives related to financial data aggregation and application of NLP to financial datasets.

Feb 2018 – Jun 2020 · 2 yrs 4 mos

• I worked in the Ekart and Planning Data Science teams leading various DS initiatives in both groups.

Aug 2017 – Feb 2018 · 6 mos · bangalore

Feb 2017 – Aug 2017 · 6 mos · Bangalore

• Leading Advanced Analytics team on several projects.

Jul 2013 – Apr 2016 · 2 yrs 9 mos · Greater Boston

Nov 2011 – Dec 2015 · 4 yrs 1 mo · Greater Boston

• BC Causal Impact Modeling: Designed and implemented a machine learning based platform to evaluate the impact of various time series on the variable under study. Various layers of analysis including volatility matching, turning points identification and events analysis are performed building over the base Autometrics based regression layer to attribute causal contribution to individual variables.
• Advertisement ROI Modeling: Developed and deployed ROI model for Toyota and Nestle advertisement to be viewed in BC proprietary visualization tool Centrifuge. The ROI data was overlapped with Dilo survey data for gaining insights into new avenues of advertisement.

Aug 2010 – Dec 2011 · 1 yr 4 mos

• A rigorous interdisciplinary program including finance, mathematics, statistics and programming that prepares students for opportunities in financial engineering.

May 2007 – Jul 2007 · 2 mos

• Web Page Classification: Designed and implemented genre based classifier for web pages based on several features extracted from the content, HTML tags and url of web page. Tried several classification algorithms in Weka and achieved a cross-validation accuracy of 87.1% using random forest ensemble classifier.
• Goals Based Search Engine: Worked in collaboration with Veveo on my M. Tech thesis entitled ‘Automatic Identification of user goals in web search based on statistical analysis of click-through results’. The model was later adopted by Veveo to optimize their mobile based search engine.

May 2006 – Jul 2006 · 2 mos

• Automated receiver side testing of PHY hardware layer of IEEE 802.11 based Wireless LAN by automating the control the VSG ( Vector Signal Generator ) using SCPI commands in C++.