Nitin Hardeniya

CEO

Bengaluru, Karnataka, India15 yrs 3 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Led a team of 30+ data scientists at Gojek.
  • Authored 'NLTK Essentials' and filed over 5 patents.
  • Delivered millions in impact at 10M DAU scale.
Stackforce AI infers this person is a Data Science leader in B2C tech, specializing in machine learning and AI-driven personalization.

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Skills

Core Skills

Machine LearningData ScienceBig DataAnalytics

Other Skills

AlgorithmsArtificial IntelligenceBusiness AnalyticsComputational LinguisticsComputer ScienceData MiningData VisualizationDecision TreesDeep LearningDiscourse AnalysisHadoopInformation ExtractionInformation RetrievalJavaLinguistics

About

I lead a team of over 30 Data Scientists, Decision Scientists, and Analysts at Gojek, where we are responsible for implementing machine learning models across the GoFood, Mart, and Biz products. Our team focuses on solving problems in search, recommendations, computer vision, natural language processing, content improvements, and merchant and user growth. I have over 12 years of experience working on machine-learning problems applied to various real-world applications. I have written a book, “NLTK Essentials” and filed >5 patents. I have done my masters from IIIT Hyderabad, specialising in computational Linguistics (NLP), focusing on information retrieval/NLP for Indian languages. I was an early scientist at Swiggy, I built V1’s of problems like feed ranking, and catalogue intelligence, Over time my team focused on Home page personalisation, Multi-objective optimisation, and Food Discovery. Build ML tech behind some of the key features like "top-picks", "Restaurant like X" and Feed ranking using Pointwise/ Pairwise ranking; we also used LDA and ALS (Alternative least Square) to build hybrid systems. Actively collaborated with the platform team to build and deploy these cutting-edge systems. Swiggy was a landmark in my career where I worked in various positions as a principal scientist, managing small and Large teams. Have worked across different setups, from a fast-growing startup to one of the most prestigious finance companies. Solid record of end-to-end Developing -> Deploying delivering Millions$ of impact at 10M DAU scale in latency constraint setting. Author of the book "nltk-essentials"​ You can buy it here>> - https://www.packtpub.com/big-data-and-business-intelligence/nltk-essentials - http://www.amazon.com/NLTK-Essentials-Nitin-Hardeniya/dp/1784396907 - https://www.safaribooksonline.com/library/view/nltk-essentials/9781784396909/

Experience

15 yrs 3 mos
Total Experience
2 yrs
Average Tenure
1 yr 3 mos
Current Experience

Tata digital

Head of Data Science - commerce

Jan 2025Present · 1 yr 3 mos · On-site

  • I’ll be focusing on Personalization, Search, Growth and Ads across Tata Neu, Flash, BB, Croma.

Verse innovation

Director - Josh AI Labs

Dec 2023Apr 2024 · 4 mos · Bengaluru, Karnataka, India · Hybrid

  • Josh is India's favorite short video app, with over 100 million downloads. Every day, millions of users upload videos to our platform.
  • Our AI recommenders suggest relevant videos to our users that are engaging, and informative, and continuously help them discover new interests. We are constantly improving our super-personalization AI models, enabling them to better understand individual user tastes, contexts, and purposes.

Gojek tech

Head of Data Science, Analytics - Food, Groceries

Oct 2020Oct 2023 · 3 yrs · Bangalore Urban, Karnataka, India

  • Leading data team for GoFood and GoMart.
Python (Programming Language)Deep LearningMachine LearningData Science

Swiggy

Staff Data Scientist

Mar 2017Oct 2020 · 3 yrs 7 mos · Bengaluru Area, India

  • Improving Relevance @swiggy
Python (Programming Language)Deep LearningMachine LearningData Science

Fidelity investments

Data Scientist

May 2014Mar 2017 · 2 yrs 10 mos · Bengaluru Area, India

  • Part of Data science Group. We are leveraging Big data (clickstream, notes, transcripts ,rep-interactions) to improve customer experience and improving marketing effectiveness.
  • Improving Customer Service using Big Data (web journeys & rep-interactions )
  • Customer targeting
  • Improving redemption rates
  • Knowledge Graphs
Python (Programming Language)Data ScienceBig Data

Groupon

Data Scientist

Jul 2013Apr 2014 · 9 mos · Chennai Area, India

  • Product Sales Forecasting
  • Automatic Deal categorization (text mining)
  • Call/Email Volume Forecasting
  • FAQ generation
Python (Programming Language)Data Science

24/7, inc

Senior Analytics Consultant

Jun 2011Jul 2013 · 2 yrs 1 mo · bangalore

  • Drop off analysis for chat documents.
  • Customer segmentation using various data-channels.
  • Competitor Analysis for product recommendation
  • Product extraction for retails using text mining
  • Topic modelling for chat documents.
  • Social media mining
  • Formality/ informality detection in chats.
  • Sentiment Analysis for chats/social.
  • Offer Extraction for chats.
  • Leakage detection across channels using text mining, Information retrieval
  • Primary issue detection in chat
  • Wrote plugins for the current Chat-classification system.
Python (Programming Language)Analytics

Language technology research center

Research Assistant

Jan 2010Jun 2011 · 1 yr 5 mos · Hyderabad Area, India

  • Worked on some of the real world problem of Natural Languages.
  • Information Retrieval and Cross Lingual Information Access.

Education

International Institute of Information Technology Hyderabad (IIITH)

M.Tech

Jan 2009Jan 2011

Jabalpur Engg. College

B.E — CSE

Jan 2004Jan 2008

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