2014 - Present
2014 - Present
2014 - Present
DATA SCIENCE background
Current Microsoft data scientist with Master of Science degree in Health Data Science from Harvard University and 10+ years of experience with data. Extensive background as data scientist in data modelling, end-to-end problem-solving, wrangling, dashboarding, inference, KPIs, project management across cloud infrastructure, healthcare, real estate, social sciences etc.
July 2019 - Present
Data Scientist 2
AzureHost Data Science & Surge,
Microsoft Corp., Redmond, WA
(Formerly, MAIDAP, Cambridge, MA)
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Spearheading end-to-end vision, implementation, expansion of IcM Auto Triaging, routing bot in production, currently saving 100s of person-hours every month
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[PATENT FILED] Improved coverage risk est. of Azure OS deployments on the cloud by 64% via improved risk score
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[PATENT FILED] Created automated system for predicting effectiveness of a list as a table, in word processing.
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[PATENT FILED] Invented Time Series Quality Quantification System [‘Telemetry Quality Index’] for Azure Engineers, mentored intern for optimization via MIT micro-internship
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Created multi-step RCA detection system using Holt-Winters Anomaly detection, Unsupervised ML, Frequent Pattern Mining for large-scale IoT systems
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Created Service-Level-Indicator (SLI) for Azure OS from scratch
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Led/participated in inclusion initiatives like accessibility process guidelines, employee group boards, ASL classes for employees etc.
March 2024 - Present
Advisory Board Member, Vinayaka Missions' School of Economics and Public Policy, India
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Advising on the curriculum and coursework of the Data Analytics minor program
AI Mentor, Break Through Tech AI,
UCLA
Remote
August 2023 - May 2025
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Mentoring a group of students in building careers in AI and data-related fields over a period of 8 months per year.
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Advising on industry realities, career coaching, communication training, documentation tips etc.
Research Assistant (Product)
Lin Lab, Harvard University, Cambridge, MA
September 2018 - May 2019
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Developed first-of-its kind genomics annotation product on R Shiny, PostgreSQL and GCP for querying genetic variant representations of all chromosomes
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Supervised by Dr. Xihong Lin, ex-HOD, Department of Biostatistics, Harvard University
June 2018 - August 2018
Data Science Intern
Dept. of Global Health,
Mount Sinai Health System, New York City, NY
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Built detection model for abandoned tires in aerial drone shots of Guatemala to reduce mosquito-borne diseases as a Computer Vision deep learning solution with CNNs (YOLOv3)
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Mathematically derived optimum bounding-box dimensions using drone altitude and camera specs
Data Scientist
Anuvu
(Formerly Global Eagle Entertainment)
Remote
March 2017 - May 2017
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Facilitated maximizing signal transmission efficiency, organizational cost reductions via network intelligence dashboard on Tableau, AWS
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Initiated history-based bandwidth prediction ML project on Python aimed at company savings of $7M
August 2016 - February 2017
Senior Data Scientist
Omaxe Developers,
New Delhi, India
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Optimized procurement through price tracking by directly collaborating with mid-sized real estate firm’s COO daily
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Decreased daily dashboarding time from 4-5 hours to 2 minutes with R, Python & Excel automation
Head Data Scientist
Safecity,
Mumbai, India/Remote
August 2015 - August 2017
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Formed and supervised data team of 30+ data volunteers working towards women’s safety through text analytics for social media, dynamic dashboarding and more on crowd-sourced data using R, Python, Excel
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Collaborated with Stanford University's CS 50 Tech for Good course to mentor undergrad students and
Evelyn Jacobs Ortner Center on Family Violence at University of Pennsylvania -
Impacted the general society by creating dashboards that were used by police, administration in multiple countries to alter patrol timings, charter special routes, advance communities etc
March 2016 - May 2016
Consultant
Sakon
(Formerly GSG)
Pune, India
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Created successful resampling-based clustering prototype on R based on customer telecom usage for incentivization
Business Analyst
ZS Associates
Pune, India
July 2015 - July 2016
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Worked on (using R, AWS, Teradata SQL, Advanced Excel):
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Pap smear medical history prediction (91% acc, 1.5 million data)
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Insurance premium prediction (3rd among 49 teams)
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Pharma sales forecasting (1st among 51 teams)
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June 2014 - June 2015
Analytical Product Research Intern
Mu Sigma Inc.
Bengaluru, India
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Introduction to Data Science
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Performed feature analyses for the firm's flagship analytical product, muRx