May 2022 – Oct 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Developed an end-to-end tool which analyses bank statements of customers from varied banks.The tool uses both CV techniques and NLP techniques to extract and classify each transaction into mode of payment, main-class,sub-class, name and reference number.
• Developed an extractive question-answering bot for the HR team to answer employees questions from various policy documents.
• Developed a module to map attribute from Lenders API to internal attributes for improving data management and storage systems. Experimented with various similarity algorithm to solve this.

Aug 2019 – May 2022 · 2 yrs 9 mos

• Designed a system and method to predict customer intents in real-time to avert phone calls by personalizing the Virtual Assistant thus increasing Virtual Assistant engagement.
• Devised a module to embed ever- changing pages on website onto a vector space to reduce
• development time in downstream tasks.
• Designed a tool which detects custom/traditional stock chart patterns using historical price movements. Uses template match approach to create ground truth data and object detection using image classifier to detect patterns, given a stock chart.
• Designed a product development tool to search, retrieve and understand customer needs from their interactions. Developed an algorithm which extracts synonyms and related words from internal and external corpus using various embedding models.
• Developed an algorithm to classify a sentence into a question or statement used for extracting questions from live chat which powers the Virtual Assistant.

Jan 2018 – Aug 2019 · 1 yr 7 mos

Jun 2016 – Dec 2017 · 1 yr 6 mos

May 2015 – Jul 2015 · 2 mos

• Developed an alternative tool for SAS Data Loader worth $270,000 using SAS software.
• Extracted drivers for various products from clickstream data using SAS via Apache Hive.
• Built a Random Forest using independent drivers extracted from Hadoop and dependent drivers for Market basket analysis to understand customer purchasing behaviour.
• Impact : Reduced Time complexity & Manual intervention as compared to conventional methods

Jul 2015 – Apr 2016 · 9 mos

• Analyzed and Examined Cement industry in India and effect of crude oil prices & GDP on cement prices.
• Extracted time series data of cement price & 2 economic indicators from Bloomberg.
• Built a Regression and Time Series model in R programming to forecast monthly price of cement in India to influence purchasing choices of construction companies.

Aug 2014 – Sep 2014 · 1 mo