Gaurav Misra

ad4lgv@r.postjobfree.com 352-***-**** linkedin.com/in/gaurav-misra Fort Collins, CO, 80525 SUMMARY

Data 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. EXPERIENCE

SPROUTS.AI San Francisco Bay Area, CA

VP 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 prospect’s 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, CA

Data 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 client’s 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 client’s 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 client’s 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 giant’s 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, CO

Head 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, FL

Post-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, CA

Post-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. EDUCATION

STANFORD UNIVERSITY Palo Alto, CA, USA

Post-Doc in Bio-Engineering 2012

UNIVERSITY OF FLORIDA Gainesville, FL, USA

PhD in Chemical Engineering 2010

IIT BOMBAY Mumbai, India

BS in Chemical Engineering 2003

AWARDS & PUBLICATIONS

FEDERAL GRANTS

Awarded $225,000 as PI by NSF’s 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 PUBLICATIONS

Authored 20 peer-reviewed research articles in 3 to 10 impact-factor journals, cited over 700 times (scholar.google.com/gaurav). TALKS & PRESENTATIONS

Delivered 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. SKILLS

SOFT SKILLS

People & Project Management • Business & Technical Presentation • Mentoring & Teaching DATA SKILLS

Digital Signal Processing • Multiple Regression • Classification • Clustering • PCA • Timeseries Analyses • Hypothesis Testing • Recommendation Engines • Marketing Attribution Engines TOOLS

PySpark • Python • SQL • Shell Scripting • SPSS • SigmaPlot • MATLAB • LabView • MS Excel • MLflow • AirFlow • Heap • Mixpanel • Optimizely • SuperSet • Chartio • Jira • Confluence • Miro • Databricks • AWS OTHER INTERESTS

Percussionist • Chess player (1800 Elo) • Volunteer at Asha for Education • Distance runner • Lego-Robotics Coach at PSD

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