Vineeth Loganathan

Director of Engineering

Atlanta, Georgia, United States14 yrs 4 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led AI/ML initiatives for Fortune 500 companies.
Expert in Generative AI and Machine Learning.
Strong background in analytics and data-driven decision making.

Stackforce AI infers this person is a MarTech and SaaS expert with a focus on AI/ML applications.

Contact

Skills

Core Skills

Ai/mlData ScienceMachine LearningAnalytics

Other Skills

Generative AIRecommendation systemsCustomer Lifetime Value (CLTV)Media-Mix-ModelingGeo level marketplace counterfactualsExperimentationVoiceAlike® technologyDistributed ComputingExtract, Transform, Load (ETL)Problem SolvingR (Programming Language)SQLPredictive AnalyticsData MiningBig Data

About

I currently lead a team of Applied Scientists focused on AI/ML for Growth at Thumbtack - a two-sided home-care marketplace and advise non-profits and startups on the applications of AI/ML. I have led analytics, data engineering, experimentation and AI/ML spanning Fortune 500 technology companies like Airbnb, Microsoft, and Amazon, and startups / scale-ups.

Experience

14 yrs 4 mos

Total Experience

2 yrs 6 mos

Average Tenure

1 yr 6 mos

Current Experience

Thumbtack

Director of Applied Science

Nov 2024 – Present · 1 yr 6 mos · Atlanta Metropolitan Area · Remote

I lead a team of incredible Applied Scientists working on the applications of AI / ML for Growth @ Thumbtack. My team's (ever evolving) focus areas are:
1. Generative AI to create high-performance marketing assets
2. Recommendation systems to engage customers and professionals on Thumbtack
3. Customer Lifetime Value (CLTV) and Media-Mix-Modeling to allocate marketing spend
4. Geo level marketplace counterfactuals to determine areas of demand - supply mismatch

AI/MLGenerative AIRecommendation systemsCustomer Lifetime Value (CLTV)Media-Mix-ModelingGeo level marketplace counterfactuals+1

Viralgains

Director of Machine Learning

Sep 2023 – Nov 2024 · 1 yr 2 mos · Atlanta, Georgia, United States · Remote

I lead Generative AI, Machine Learning, Analytics, and Experimentation for ViralGains, a MarTech company based out of Boston. By running optimized, interactive ads in the open web, we collect Zero Party Data (or Declared data). Using our proprietary VoiceAlike® technology we train a machine learning model to scale and deploy relevant audiences across platforms through syndication.
In addition to VoiceAlike® we also have a self-serve creative studio, a reporting and optimizations module, and a home grown actionable brand lift study using state of the art causal inference models.

Generative AIMachine LearningAnalyticsExperimentationVoiceAlike® technology

Airbnb

Data Science (Various Roles)

Oct 2019 – Sep 2023 · 3 yrs 11 mos · Greater Seattle Area

2019 - 2021: I led a team of Data Scientists and Analysts focused on improving the Airbnb Host Guarantee (Host Protection) program.
2021 - 2023: I served as a technical leader on revenue operations team. My team was responsible for measuring the incrementality of sales interventions, building a lead sourcing and scoring methodology using Machine Learning, and attribution models for sales and marketing channels.
2023: As part of a broader Airbnb DS reorg, I moved to the central marketplace (Economics) team, and served as a technical leader on monetization and cancellations.

Microsoft

2 roles

Senior Applied Scientist

Oct 2018 – Oct 2019 · 1 yr · Greater Seattle Area

As a tech-lead in Market Sciences, I built Machine Learning Models to improve the effectiveness of Microsoft Advertising (MSA) sales and developed causal inference methods to understand the effect of launching new ML models on business KPIs.

Senior Manager, Marketplace Analytics

Mar 2016 – Oct 2018 · 2 yrs 7 mos · Greater Seattle Area

I managed a team of analysts and data scientists spread between US and India focused on improving the monetization rate of Bing Ads Marketplace. Also owned the WBRs, MBRs, and ad-hoc investigations for the Bing Ads Marketplace.

Amazon

2 roles

Product Manager, Monetization

Promoted

Jan 2015 – Mar 2016 · 1 yr 2 mos · Greater Seattle Area

Monetization, user acquisition strategy, analytics, and experimentation for Amazon Game Studios. Later transitioned to Amazon Ad Platform to build a Business Intelligence platform for advertisers.

Data Scientist

Feb 2013 – Jan 2015 · 1 yr 11 mos · Greater Seattle Area

Data Engineering, Analytics, Experimentation, and Lifetime Value Modeling for Amazon Game Studios.

Disney interactive media group

Data Scientist

Jan 2012 – Feb 2013 · 1 yr 1 mo · Greater Seattle Area

Analytics and experimentation to improve monetization, retention, engagement, and virality for Disney Mobile/Social games.

Microsoft

Analyst

Jun 2009 – Jan 2012 · 2 yrs 7 mos · Greater Seattle Area

2009 - 2010: Worked on analytics and statistical inference models for Market Research & Insights.
2010 - 2012: worked on Monetization Analytics for Microsoft AdCenter.