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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE Fort Collins, CO, 80525 SUMMARYData pioneer helping organizations become data-driven, not just data-informed. Accomplished in Data Products Design & Management, BI & Product Analytics, Web & Marketing Analytics, Machine Learning (ML), and Engineering. EXPERIENCESPROUTS.AI San Francisco Bay Area, CAVP of Data Science Jan 2023-Dec 2023 Established robust processes & infrastructure for Data Engineering, ML & Analytics. Guided deployment of cutting-edge industry tools for data storage, retrieval, processing, analytics, alerting, ML and dashboarding. Captured and democratized $1.1 million worth of data for the business by spearheading identification & instrumentation of untapped data sources, facilitating discovery & exploitation of synergies between diverse data streams. Orchestrated productionization of an LLM-based hyper-personalized email generator. This innovative system utilized scraped LinkedIn profiles of targets and sender & product details as dynamic inputs to automatically generate marketing emails, resulting in 5x boost in productivity for digital marketers. Delivered multiple data products by cross-collaboration with product manager, engineering lead, design lead and the data team: Prospect-scoring based on Recency-Frequency-Engagement model, ML-based client-scoring, ML models for data imputation, email classifier, web-analytics dashboard, web-tracker (pixel) for capturing marketing data. Enhanced efficiency of prospect targeting by assigning objective scores to each prospect based on the prospects engagement with the website and with the emails. Hired & nurtured a high-performing team of 7 to 9 people comprising data scientists, data engineers, data analysts, and a data architect, resulting in successful delivery of innovative data products. SHORT PROOF LLC San Francisco Bay Area, CAData Science Manager & Lead Data Scientist July 2021-Jan 2023 Led development & deployment of a data warehouse that integrated 30+ marketing data sources. Delivered 360 degree view of customers from single source-of-truth, thereby eradicating in-silo operations of different marketing teams. Increased return on advertising spend (ROAS) by 31% for a public eCommerce company by designing & leading the implementation of a multi-touch marketing attribution engine. Achieved 5% lift in conversion through analysis and A/B-testing on clients homepage. Developed real-time measurement framework for evaluating performance of widgets on homepage. Designed and oversaw implementation of A/B testing framework for parallel & long-term experiments, which were impossible on clients old A/B platform. Delivered ML pipelines for churn prediction, Life-Time-Value prediction, support-call prediction for multiple clients. Led and mentored a team of data engineers, data scientists and BI specialists to deliver data products, analysis pipelines, KPI dashboards & daily reports to Fortune-100 companies as well as fast-growing B2C startups. Data Scientist Jan 2018-Jun 2021 Discovered and deployed effective strategies for reducing friction in products, websites and processes, stemming customer churn & enhancing user engagement for multiple B2C businesses. Designed and validated the entire telemetry for clients website and mobile app; enabling systematic collection of user-behavior data for product analytics and behavior-based user segmentation. Conducted several analyses of a telecom giants web-traffic data, designed A/B tests based on those and achieved 15% lift in conversion in an important Bring-Your-Own-Device web-flow. Developed a custom collaborative-filtering based product-recommendation algorithm. The custom approach permitted fine-grained, statistically controlled recommendations, which were not possible through ready-made libraries. Increased CTR (Click-Through-Rate) on recommendations by 22% by combining algorithms for Customers Also Bought,Customers Also Viewed, Customers Also Liked widgets under a single algorithm. Implemented a modular pipeline for performing ETL, feature engineering, model training & evaluation in pySpark for churn prediction; experimented with models using MLflow; deployed the final model on Databricks. QUANTIFIED HABITS INC Fort Collins, COHead of Research Jun 2016-Dec 2017 Wrote NSF-SBIR grant proposal as PI for context-sensitive health interventions delivered via mobile technology. Developed algorithm to detect hand gestures by classifying accelerometer & gyroscopic data from patients smartwatch. Drove 4% weight-loss in 26 pre-diabetic patients through innovative context-sensitive nudges delivered via smartphone or smartwatch. Established causal relation between the nudges and uptick in physical activity. UNIVERSITY OF FLORIDA Gainesville, FLPost-Doctoral Associate Jan 2012-Jun 2016 Discovered neural correlates of pain in human brain via data analysis, statistics, ML & signal processing of bio-signals like EEG, EMG, f-MRI, heart rate. Classified EEG signals into intense and mild pain classes using time-frequency analysis and ML. Designed & conducted several behavioral & neuroscience studies. Created several data analysis & visualization pipelines. Authored a dozen scientific papers in high impact journals like Cerebral Cortex, NeuroImage, Pain, Human Brain Mapping. Mentored & trained 4 PhD and 3 Masters candidates in computer programming, ML, statistics, f-MRI and EEG. STANFORD UNIVERSITY Palo Alto, CAPost-Doctoral Scholar Aug 2010-Jan 2012 Designed and implemented computational models for simulating bacterial mechanics; estimated the model-parameters by conducting electron & optical microscopy, and microfluidics experiments on bacteria. Implemented automated image analysis for measurements of bacterial sizes from electron micrographs. Published one of the top 3 articles of the year in The Biophysical Journal; Misra et. al, 2013, BJ, 104 (11), 2342-2352. EDUCATIONSTANFORD UNIVERSITY Palo Alto, CA, USAPost-Doc in Bio-Engineering 2012UNIVERSITY OF FLORIDA Gainesville, FL, USAPhD in Chemical Engineering 2010IIT BOMBAY Mumbai, IndiaBS in Chemical Engineering 2003AWARDS & PUBLICATIONSFEDERAL GRANTSAwarded $225,000 as PI by NSFs Small Business Innovation Research (SBIR) program, 2016 (nsf.gov/award1648331). AWARDS Health Data Science Fellowship Insight Data Science, 2017 Outstanding International Student Award University of Florida, 2009 Best Presentation Awards Chemical Engg, University of Florida, 2007 & 2009 Graduate Alumni Research Fellowship University of Florida, 2005-2010 RESEARCH PUBLICATIONSAuthored 20 peer-reviewed research articles in 3 to 10 impact-factor journals, cited over 700 times (scholar.google.com/gaurav). TALKS & PRESENTATIONSDelivered invited talks at Stanford University, Emory University and Colorado State University. Presented talks and posters at several scientific conferences including BioPhysical Society, The Society for Neuroscience. SKILLSSOFT SKILLSPeople & Project Management Business & Technical Presentation Mentoring & Teaching DATA SKILLSDigital Signal Processing Multiple Regression Classification Clustering PCA Timeseries Analyses Hypothesis Testing Recommendation Engines Marketing Attribution Engines TOOLSPySpark Python SQL Shell Scripting SPSS SigmaPlot MATLAB LabView MS Excel MLflow AirFlow Heap Mixpanel Optimizely SuperSet Chartio Jira Confluence Miro Databricks AWS OTHER INTERESTSPercussionist Chess player (1800 Elo) Volunteer at Asha for Education Distance runner Lego-Robotics Coach at PSD |
