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Praneet Mhatre

Data Scientist / Engineer

Senior Director, Engineering and Data Science

San Francisco, California

Section title

Praneet Mhatre's Email Addresses & Phone Numbers

Praneet Mhatre's Work Experience

Formation

Data Scientist / Engineer

September 2016 to September 2017

San Francisco Bay Area

OutworX Corporation

Principal Engineer

February 2015 to September 2015

Noida Area, India

Trulia

Data Mining Engineer

September 2012 to January 2015

San Francisco Bay Area

Praneet Mhatre's Education

University of California, Irvine

Master of Science, Computer Science

Veermata Jijabai Technological Institute (VJTI)

Bachelor of Technology, Computer Engineering

Praneet Mhatre's Professional Skills Radar Chart

Based on our findings, Praneet Mhatre is ...

Individualistic
Pragmatic
Loner

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Based on our findings, Praneet Mhatre is ...

52% Left Brained
48% Right Brained

About Praneet Mhatre's Current Company

Formation

* First data hire at the company* Worked on the core product that builds and sends personalized offers to tens of millions of loyalty members at Fortune 500 companies* Involved in requirement gathering, system design and back end implementation of the product * Development using Haskell, Stack, Scala, Spark, AWS* Actively involved in the hiring of Data...

About Praneet Mhatre

📖 Summary

Data Scientist / Engineer @ Formation * First data hire at the company* Worked on the core product that builds and sends personalized offers to tens of millions of loyalty members at Fortune 500 companies* Involved in requirement gathering, system design and back end implementation of the product * Development using Haskell, Stack, Scala, Spark, AWS* Actively involved in the hiring of Data Scientists and Engineers during the rapid growth phase. Responsible for phone screens and technical on site interviews From September 2016 to September 2017 (1 year 1 month) San Francisco Bay AreaPrincipal Engineer @ OutworX Corporation * Owned the Local Info API to add helpful local context to supplement home searches at Trulia* Wrote Hadoop based pipelines to calculate aggregate price metrics and demographic info* Built Lucene Based Indexes on top of aggregated data* Built a DropWizard based RESTful API to integrate with the rest of the backend From February 2015 to September 2015 (8 months) Noida Area, IndiaData Mining Engineer @ Trulia ‱ Improved accuracy, coverage of and fixed valuation discrepancies in Trulia's Automated Valuation Model (Trulia Estimatesℱ) ‱ Scaled up the process of real estate market stats and trends computation by migrating it over to Hadoop, reducing runtime by 95% ‱ Made the ‘find similar homes’ algorithm more robust, improved ranking of homes and significantly increased coverage by developing a smarter method of candidate set generation‱ Primary developement using Java, Hadoop, Machine Learning libraries (MALLET, H2o etc), SQL, Lucene, Oozie, Maven, Git From September 2012 to January 2015 (2 years 5 months) San Francisco Bay AreaGraduate Student Researcher @ UC Irvine ‱ Investigated higher order learning methods for huge datasets‱ Implemented and evaluated Feature Sharding with classification algorithms‱ Development using Java, Weka, Hadoop, Mahout From June 2011 to July 2012 (1 year 2 months) Orange County, California AreaSenior Data Scientist @ Zillow Group * Built an end to end machine learning pipeline (feature engineering, model training, evaluation, serving and prediction) to personalize search rankings* Used LDA (Latent Dirichlet Allocation) clustering algorithm to cluster properties and users* Development using Java, Hadoop, Mallet* Built the first iteration of the Live Near Transit feature* Implemented Hadoop based pipelines to calculate affordability stats around transit stations in popular metropolitan cities From October 2015 to September 2016 (1 year) San Francisco Bay AreaSenior Director Of Engineering @ Formation Department Head for the Engineering organization responsible for Product Development Engineering, Data Science, Analytics and Customer IntegrationsFormation is a global leader in developing scalable solutions for individualized offers for Fortune 500 customers. Our solution drives results by building and deepening our customers’ relationships with their customers. We do this by automating the deployment of individualized offers across digital and physical channels. Formation’s solution uses artificial intelligence (AI) and machine learning (ML) to bring superb experiences through unique 1:1 offers that appeal to each customer. San Francisco Bay AreaDirector Of Engineering @ Formation * Directed Engineering teams spanning across Product Engineering, Data Science and Analytics functions* Oversaw the development and first successful rollout of a Formation's multi-tenant personalization platform* Defined, evolved and enforced process to guide the engineering roadmap. Identified risks. Made resourcing adjustments. Got buy in from cross functional stakeholders as well as engineering ICs* Continued and expanded partnership with other business functions (Product, Sales, Business Development, Marketing) as the Engineering leadership representative From October 2019 to July 2020 (10 months) San Francisco Bay AreaEngineering Manager @ Formation Machine Learning Engineering (Aug 2018 - Oct 2019)* Focused on productizing Formation’s flagship personalization solution* Drove the development of the core platform both as a technical architect in the beginning and engineering management owner thereafter * Established Machine Learning Research function at Formation. Hired and directed the research of Formation’s first ML Researcher* Supported Sales and Business Development teams as Formation expanded its customer portfolio as well as partnerships Data Science - Manager (Mar 2018 - Aug 2018)* Led the research and development of Reinforcement Learning powered personalized offers for Formation’s first and largest customer * Collaborated with Product Management and Customer Success orgs to scope, plan, resource and roll out new features* Introduced increased engineering process (version control best practices, code reviews, documentation etc) into data scientist development workflow making the system more maintainable, stable and efficient * Grew the data team to keep up with increased scope and responsibility. Involved in the growth of engineering leadership at the company; on the hiring panel for the roles of Engineering Manager and VP of Engineering Data Science - Tech Lead/ Manager (Sep 2017 - Mar 2018)* Led the back end design, implementation and roll out of A/B testing infrastructure* Engaged in executive communication with Formation’s first and largest customer helping define their data science strategy, planning and execution using the Formation platform* Managed a team of data scientists, front end and back end engineers; led the successful and on time transition of ownership of end to end data pipelines and systems from the original developers to the new team * Continued involvement in the hiring of various roles in a range of capacities (hiring manager, technical on sites, culture fit interviews etc) to support company growth* Won RESPECT award for going above and beyond From September 2017 to October 2019 (2 years 2 months) San Francisco Bay Area


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Frequently Asked Questions about Praneet Mhatre

What company does Praneet Mhatre work for?

Praneet Mhatre works for Formation


What is Praneet Mhatre's role at Formation?

Praneet Mhatre is Data Scientist / Engineer


What is Praneet Mhatre's personal email address?

Praneet Mhatre's personal email address is p****[email protected]


What is Praneet Mhatre's business email address?

Praneet Mhatre's business email addresses are not available


What is Praneet Mhatre's Phone Number?

Praneet Mhatre's phone (213) ***-*155


What industry does Praneet Mhatre work in?

Praneet Mhatre works in the Computer Software industry.


Who are Praneet Mhatre's colleagues?

Praneet Mhatre's colleagues are Sandy Maguire, Fintan Halpenny, Michael Hood, Mary Matthews, John Landahl, Ziyang Liu, Steve Lamb, Cassidy Holmgreen, Schell Scivally, and Brendan Hay


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In a nutshell

Praneet Mhatre's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 4 month(s)

Praneet Mhatre's Willingness to Change Jobs

Unlikely

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