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Hi I'm a graduate student majoring in Computer Science at University of California - San Diego with a focus on Artificial Intelligence/Machine Learning. My main interests are in Natural Language Processing, applied AI and my sweet spot lies at the intersection of Computer Science, Statistics and Machine Learning. Previously I worked in the industry for about 2 years at Fiserv Inc. as a Senior Statistical Analyst working on end to end pipeline right from data cleaning/pre-processing till model deployment. I was part of the AI & Analytics, Centre of Excellence team in Bangalore, India. I worked on problems of Fraud, Merchant Acquisition, Merchant Attrition, building predictive models to solve them. Before taking up my full time job I graduated with a Bachelors degree in Computer Science & Engineering from PES University(formerly PESIT), Bangalore, India. In my final semester of undergaduate studies, I interned at Hewlett Packard Enterprise as a Software Engineering Intern where I developed a Python tool to port workloads from one flavour of HPE servers to another flavour. During my 3rd year summer, I interned at SUNY Binghamton - Binghamton, NY where I worked on state of art Named Entity Recognition system for real time data like tweets. In my sophomore year summer , I worked as a research intern at the Centre for Cloud Computing & Big Data of PESU on a project "Micro-architectural Performance Analysis on Big Data" Here is my Resume and feel free to e-mail me and always happy to connect. ~ Email | Resume | Google Scholar | Github | LinkedIn ~ |
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Jan '22 |
Serving as Teaching Assistant for course CSS-1:Introductory Programming in Python under Prof. John Serences |
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Sep '21 |
Started MS at - U.C. San Diego! Served as a Graduate Teaching Assistant for CS110 Software Engineering |
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July '21 |
Completed 2 successful years working as a full-time Data Scientist at Fiserv Inc. |
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University of California - San DiegoSpecialization: Artificial Intelligence/Machine Learning Sep '21 - Present |
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PES University (formerly PESIT), Bangalore, IndiaAug '15 - May '19 |
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Jan '22 - Mar'22 Working along with Prof. John Serences at the Department of Psychology - UC San Diego. The course develops computational thinking practices and skills critical for defining, describing and analyzing social science problems using a computational approach. Students will learn to program in Python in the context of computational social science problems. |
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Sept '21 - Dec'21 Worked with Prof. Thomas A Powell at the Dept. of Computer Science & Engineering - UC San Diego. The course aims to help students build a foundation of both thinking skills, theoretical knowledge, practical application, and exposure to practical industry-tested experience. I mentored about 300+ students in developing a product, following agile practices and software principles |
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Aug '19 - Jul '21 Worked at the AI & Analytics Centre of Excellence of Fiserv, I have contributed by increasing the efficiency of report generation process and quality checks by 60% through automation in R. I developed a predictive model to prioritize and target merchants which resulted in Sales team’s onboarding rate by 40%. I steered collaboration between Marketing and Analytics teams along with client communication across the US and Costa Rica region for the Merchant Acquisition Project. I was awarded the “Fiserv Living Proof Award” 3 times for the remarkable work |
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Jan '19 - Jun '19 Worked in Global Solutions Engineering Team, where I developed a Python tool to port various server configurations & workloads from C7000 flavor of Servers to Synergy. Also worked on “Smart Policing for Modern Cities” involving crime rate prediction, crime type classification and patrol area suggestion for a prominent Police force using time series analysis (ARMA, ARIMA). |
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May '18 - July '18' Worked under the supervision of Dr. Weiyi Meng on "Microblog Entity Mention Detection with Multi-pass Lightweight Computations" to detect non-entity word in the tweets so that the input to the main system for Entity Recognition has less numbers of words to be tagged TwiCS et al. |
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Nov. 2021 - Dec. 2021 [code][Report] Built a factorization machine leveraging location based, user-based attributes to accommodate personalization and recommend places for users’ next visit on the Google Local Reviews dataset Used: Pandas, Sklearn, FastFM, Numpy, Surprise |
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PES University | Jan 2019 - May 2019 [code][Report] Engineered a chatbot meant to serve as a receptionist for PES University leveraging BERT, ULMFit, FLAIR & LSTMs. Designed 3 modules – Named Entity Recognition module in Indian and generalized context, Profanity Detection to sanitize the chatbot responses & Sentiment Module to provide sentiment shades to make it more user interactive. PESUBot went live where about 2000 freshman and parents interacted with it on the Inaugural Convocation 2020 |
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Automatic answer evaluation system | Jan 2019 [code] Devised an automatic answer evaluation system to grade the student responses based on the presence of the required keywords and sentence parity to the key answer. Leveraged semantic features extracted using GenSim and fed it to a regressor to predict the scores (marks in this case). Reduced the workload of the faculty in evaluating the student responses automating the process |
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