Girish Nathan

Co-Founder

Chennai, Tamil Nadu, India19 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in deploying AI and ML solutions at scale.
  • Led data science initiatives at multiple fintech companies.
  • Strong background in statistical techniques and algorithms.
Stackforce AI infers this person is a Fintech and Data Science expert with extensive experience in AI and ML solutions.

Contact

Skills

Core Skills

AiMachine LearningData Science

Other Skills

AI StrategyAcademic PublishingAmazon Web Services (AWS)Attention to DetailAutomated Machine Learning (AutoML)Bayesian methodsBig DataBudget ManagementBusiness AcumenCommunicationConversational AICross-functional Team LeadershipCross-team CollaborationData EngineeringData Governance

About

As of July 2024 : I advise companies looking to deploy AI and ML solutions at scale, and also assist them in building globally distributed data teams from scratch in a fully remote environment. I provide expert consulting not just around ML and AI but also for companies looking to solve hard, gnarly statistics and exprimentation problems. Also available for mentoring and coaching engineering and product teams and delivering seminars to C-suite executives. From Oct 2023 - June 2024 : I was Chief Data Officer at Tonik Bank, leading all things data and ML for them and building sophisticated ML models for loans from scratch with a small, dedicated team. Sep 2023 - Oct 2023 : On a short sabbatical where long distance running, playing competitive bridge and backgammon are the main items on the menu! Always available and happy to help companies and DS / ML teams as an AI and ML coach, mentor and enabler, so get in touch with me via a private message if needed. Sep 2022 - Sep 2023 : I led data science and machine learning at Razorpay. Less recent past : Applying reinforcement learning and other sophisticated machine learning techniques to problems in the marketing domain at Expedia. Also passionate about privacy preserving machine learning applied to confidential data. Specialties: Expertise in stochastic inversion techniques, statistical physics, econometric and statistical techniques, reinforcement learning, linear algebra, and applied number theory. Fluent in C, C++, Matlab, and R. Adept at using perl and awk. In the distant past : Experienced in developing R&D tools for the seismic industry. Prior expertise in nonlinear statistical physics techniques and tools, especially pattern formation.

Experience

19 yrs 1 mo
Total Experience
2 yrs 1 mo
Average Tenure
1 yr 11 mos
Current Experience

Self-employed

AI, ML, Statistics consultant

Jul 2024Present · 1 yr 11 mos · Chennai, Tamil Nadu, India · Remote

  • Advisor for companies looking to deploy AI and ML solutions at scale and to help them solve hard business problems by effectively employing statistics and experimentation. Contact for hourly rates.
Emerging TechnologiesQuantitative AnalyticsStatisticsTechnical DocumentationLogistic RegressionThinking Skills+29

Tonik

Chief Data Officer

Oct 2023Jun 2024 · 8 mos · Chennai, Tamil Nadu, India · Hybrid

  • Helping Tonik use its rich data sources effectively and employ AI and ML to build kick-ass SOTA financial products for its customers!
Data QualityProblem SolvingRisk ModelingFinTechEmerging TechnologiesQuantitative Analytics+52

Self

Gainfully unemployed and will be on the lookout for stellar roles following a sabbatical!

Sep 2023Oct 2023 · 1 mo · Chennai, Tamil Nadu, India · Remote

Razorpay

Head of Data Science

Sep 2022Sep 2023 · 1 yr · Bengaluru, Karnataka, India

  • I lead all things data science and machine learning at Razorpay. Find out more about our rocketship journey at https://razorpay.com/
Data QualityProblem SolvingSoftwareData ProductsFinTechEmerging Technologies+55

Expedia group

2 roles

Director, Data Science

Promoted

Oct 2020Jun 2022 · 1 yr 8 mos · Greater Seattle Area

  • Leading retail marketing tech's data science efforts in CRM, SEO, landing pages, and merchandising.
Data QualityProblem SolvingAmazon Web Services (AWS)OptimizationSoftwareData Products+54

Principal Applied Researcher

Oct 2019Oct 2020 · 1 yr · Greater Seattle Area

Data QualityProblem SolvingAmazon Web Services (AWS)OptimizationSoftwareData Products+51

Amazon

Advertising science at amazon

Sep 2018Sep 2019 · 1 yr · Greater Seattle Area

  • Applying reinforcement learning and deep learning techniques to contextual and sponsored ads. Message if this type of problem interests you!
Data QualityProblem SolvingAmazon Web Services (AWS)SoftwareData ProductsFinTech+45

Microsoft

2 roles

Senior Scientist

Jan 2016Aug 2018 · 2 yrs 7 mos · Redmond

  • Machine learning and data mining in the healthcare and wearables industry. Applying ML and reinforcement learning to predictive and learning problems in healthcase with a goal to improve wellness.
Problem SolvingOptimizationSoftwareEmerging TechnologiesQuantitative AnalyticsStatistics+30

Senior Scientist

Aug 2014Dec 2015 · 1 yr 4 mos · Redmond

  • Azure Machine learning team in Microsoft. Worked on forecasting problems and demonstrated the use of Azure ML on various problems in a few Microsoft blogs.
Communication

Amazon

2 roles

Machine learning scientist

Jan 2014Aug 2014 · 7 mos

  • Applying machine learning ideas to the problem of modeling online promotions, and measuring their efficacy.
Problem SolvingSoftwareEmerging TechnologiesQuantitative AnalyticsStatisticsCross-team Collaboration+22

Machine Learning Scientist

May 2012Jan 2014 · 1 yr 8 mos

  • Big data, data mining and IR techniques, applying ML to some very interesting problems at amazon
Optimization

Yahoo!

Sr Research Engineer

Sep 2011May 2012 · 8 mos

  • Applied ideas from the reinforcement learning domain to the problems of deals in online advertising.
Problem SolvingOptimizationEmerging TechnologiesQuantitative AnalyticsStatisticsCross-team Collaboration+19

Ion geophysical

Research Geophysicist

Jul 2006Jul 2011 · 5 yrs

  • Involved in developing sophisticated algorithms for the Oil&Gas industry
Problem SolvingOptimizationEmerging TechnologiesQuantitative AnalyticsStatisticsCross-team Collaboration+19

Education

University of Houston

Doctor of Philosophy - PhD — Physics

Jan 2003Jul 2006

University of Houston

PhD — Theoretical Statistical Physics

Jan 2003Jan 2006

Fergusson College

Bachelor of Science (B.Sc.)

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