P

Prashant Jha

CEO

Gurugram, Haryana, India11 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over a decade of experience in AI product leadership.
  • Expert in architecting scalable AI solutions.
  • Proven track record in building high-performing teams.
Stackforce AI infers this person is a SaaS-focused AI and Data Science leader with extensive experience in enterprise solutions.

Contact

Skills

Core Skills

Data ScienceTechnical LeadershipMlopsArtificial Intelligence (ai)Search EngineMachine LearningAnalyticsBig Data

Other Skills

A/B TestingAIAWSAlgorithmsCC++Data EngineeringData MiningDeep LearningElasticSearchEnterprise Risk ManagementGen AIGitHadoopLarge Language Models (LLM)

About

With over a decade of experience building enterprise grade AI products, I specialize in architecting and scaling DS/ML/LLM-powered solutions that deliver measurable business value. ๐–๐ก๐š๐ญ ๐ˆ ๐›๐ซ๐ข๐ง๐  ๐ญ๐จ ๐ญ๐ก๐ž ๐ญ๐š๐›๐ฅ๐ž: ย ย โ€ข ๐—”๐—œ ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ: Architected and delivered scalable AI systems from conception to production in close collaboration with cross-functional leadership and their teams ย โ€ข ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—ฎ๐˜ ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ: Built intelligent AI powered search engines, LLM assistants, recommender and predictive systems that enhance digital experiences and drive user engagement ย โ€ข ๐—™๐˜‚๐—น๐—น-๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ ๐—”๐—œ ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ: Designed enterprise systems spanning data pipelines, MLOps, robust evaluation frameworks leveraging Agentic Frameworks, MCPs ย ย โ€ข ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—˜๐˜…๐—ฐ๐—ฒ๐—น๐—น๐—ฒ๐—ป๐—ฐ๐—ฒ: Championed best practices including timely code reviews, cloud-native faster solution development with code assistants & early prototyping ย ย ย โ€ข ๐—ง๐—ฒ๐—ฎ๐—บ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ & ๐— ๐—ฒ๐—ป๐˜๐—ผ๐—ฟ: Successfully scaled cross-functional teams from the ground up, encompassing data science, machine learning, data engineering, and software engineering talent with timely feedback cycles, and continuous learning initiatives that elevate team performance ย  ๐Ÿค ๐‹๐ž๐ญ'๐ฌ ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ if you're looking to discuss AI strategy, data science leadership, or how to build & scale high-performing technical teams. #datascience #ai #genai #llm #netherlands #germany

Experience

11 yrs 10 mos
Total Experience
3 yrs 11 mos
Average Tenure
7 yrs 11 mos
Current Experience

Gartner

4 roles

Sr. Director, Data Science

Promoted

Apr 2023 โ€“ Present ยท 3 yrs 2 mos

  • Led Data Science team to build AI powered search, LLM assistants and recommendations platform
  • ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ๐—ฑ ๐—”๐—œ ๐—œ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—Ÿ๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ: Spearheaded enterprise-grade AI platform serving millions of users, improving key business metrics like search abandonment and monthly active users through personalized search and recommendation systems
  • ๐——๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐—ฒ๐—ฑ ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐˜€: Architected and launched Gartner's proprietary LLM-based innovations
  • ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐—ถ๐—ฐ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ฃ๐—ฎ๐—ฟ๐˜๐—ป๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ: Collaborated with Product and Engineering leaders to develop structured innovation roadmaps, ensuring continuous delivery of AI-powered solutions that directly improve customer experience
  • ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐— ๐—Ÿ๐—ข๐—ฝ๐˜€ ๐—˜๐˜…๐—ฐ๐—ฒ๐—น๐—น๐—ฒ๐—ป๐—ฐ๐—ฒ: Established production-grade ML infrastructure enabling efficient model training, A/B testing, and deployment at scale, supporting real-time personalization for enterprise clients, and reducing search API latency
Data ScienceTechnical LeadershipLarge Language Models (LLM)Data EngineeringMLOpsProduct Management+3

Director, Data Science

Promoted

Sep 2021 โ€“ Mar 2023 ยท 1 yr 6 mos

  • Established India division of customer experience data science team
  • ๐—•๐˜‚๐—ถ๐—น๐˜ ๐—›๐—ถ๐—ด๐—ต-๐—ฃ๐—ฒ๐—ฟ๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ง๐—ฒ๐—ฎ๐—บ๐˜€: Successfully recruited, managed, and scaled cross-functional teams of data scientists, data engineers, MLE, and software developers across three scrum teams. Incorporated engineering best practices in day-to-day development to ensure seamless innovation, documentation & solution delivery in Agile manner
  • ๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฒ๐—ฑ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ: Led development of enterprise search platform with in-house trained language models and personalized algorithms, achieving significant uplift in autocomplete usage and CTR for overall search
  • ๐—ฃ๐—ถ๐—ผ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ฒ๐—ฑ ๐—–๐—ผ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—”๐—œ ๐—ฆ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป๐˜€: Built deep learning-powered recommendation system for All Gartner onsite conferences, delivering multi-fold uplift in email click-through rates and increase in onsite conference attendance
  • ๐—–๐—ฟ๐—ผ๐˜€๐˜€-๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—Ÿ๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ: Managed strategic initiatives across Search, Recommendations, and Forecasting domains while mentoring senior & junior data scientists and establishing best practices
Artificial Intelligence (AI)Technical LeadershipSearch EngineRecommender SystemsPythonMachine Learning+8

Sr. Data Scientist

Promoted

Jul 2019 โ€“ Sep 2021 ยท 2 yrs 2 mos

  • Delivered AI-based solutions that directly enhanced client service delivery with actionable insights and recommendations
  • ๐—ง๐—ฒ๐—ฎ๐—บ ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ถ๐—ป๐—ด ๐—˜๐˜…๐—ฐ๐—ฒ๐—น๐—น๐—ฒ๐—ป๐—ฐ๐—ฒ: Successfully grew and led data science team from 3 to 17 members, establishing recruitment processes and technical standards that enabled rapid scaling while maintaining quality
  • ๐—”๐—œ-๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ฒ๐—ฑ ๐—ฅ๐—ถ๐˜€๐—ธ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜: Developed automated Enterprise Risk Tool using ML and NLP models, integrated with Salesforce to provide real-time risk assessments and actionable mitigation strategies for client management
  • ๐—ฃ๐—ฒ๐—ฟ๐˜€๐—ผ๐—ป๐—ฎ๐—น๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐˜ ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ฒ: Created Next Best Actions recommendation engine that enabled service associates to deliver personalized Gartner asset suggestions, resulting in higher quality client interactions and improved retention
  • ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐—ถ๐—ฐ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—Ÿ๐—ฒ๐—ฎ๐—ฑ๐—ฒ๐—ฟ๐˜€๐—ต๐—ถ๐—ฝ: Built comprehensive retention forecasting models and PowerBI dashboards that provided executive leadership with data-driven insights for strategic decision-making
Artificial Intelligence (AI)Data ScienceMachine LearningPythonGitTeam Management+3

Data Scientist

Jun 2018 โ€“ Jul 2019 ยท 1 yr 1 mo

  • ๐— ๐—Ÿ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜: Built and deployed machine learning models for client analytics and service optimization, establishing technical foundation for future AI product development
  • ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ถ๐—ป๐—ด: Contributed to initial data science team setup and processes, developing core analytical capabilities that supported Gartner's digital transformation initiatives for client service delivery

American express

Assistant Manager

Mar 2017 โ€“ May 2018 ยท 1 yr 2 mos ยท Gurgaon ยท On-site

  • ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—ฎ๐—ฐ๐—พ๐˜‚๐—ถ๐˜€๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น๐˜€: Developed and deployed scalable ML models for online credit card applications, leading modeling and analytics initiatives for all international credit card acquisition through digital platforms
  • ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜† ๐—ข๐—ฝ๐˜๐—ถ๐—บ๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป: Leveraged advanced analytics to identify opportunity areas in application journey, generating actionable insights for email retargeting campaigns and UX improvements that increased conversion rates by setting up right A/B tests
  • ๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ ๐—ฅ๐—ฒ๐˜๐—ฎ๐—ฟ๐—ด๐—ฒ๐˜๐—ถ๐—ป๐—ด ๐—ฆ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป๐˜€: Created sophisticated customer retargeting algorithms using behavioral data analysis, enabling personalized outreach strategies that improved application completion rates
Data ScienceA/B TestingSASStatistical ModelingAnalytics

Gep worldwide

Data Scientist

Jun 2014 โ€“ Mar 2017 ยท 2 yrs 9 mos ยท Mumbai Area, India ยท On-site

  • ๐—ฃ๐—ฎ๐˜๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—”๐—œ ๐—œ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐—ผ๐—ป: Developed and patented revolutionary Spend Data Classification tool (US-10438133-B2) using Big Data and AI technologies, achieving 80% reduction in delivery times and 30% accuracy improvement
  • ๐—ฆ๐˜‚๐—ฝ๐—ฝ๐—น๐—ถ๐—ฒ๐—ฟ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ: Built proprietary search engine on Elasticsearch backend capable of processing 300M+ transactional items, with integrated Kibana dashboards providing real-time business insights
  • ๐—˜๐—ป๐—ฑ-๐˜๐—ผ-๐—˜๐—ป๐—ฑ ๐—”๐—œ ๐—ฃ๐—ถ๐—ฝ๐—ฒ๐—น๐—ถ๐—ป๐—ฒ: Managed complete data science pipeline from managing massive ETL pipeline of structured and unstructured datasets to scalable AI products. POC with technologies like ELK stack, TensorFlow, Hadoop, Mahout to optimize solutions
  • ๐—•๐—ถ๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—ฃ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€๐—ถ๐—ป๐—ด ๐—˜๐˜…๐—ฐ๐—ฒ๐—น๐—น๐—ฒ๐—ป๐—ฐ๐—ฒ: Implemented robust data processing frameworks handling enterprise-scale procurement data, enabling automated classification and enrichment of complex spend datasets
  • ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—œ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐—ผ๐—ป: Created comprehensive analytics solutions that transformed manual procurement processes into automated, AI-driven systems, delivering significant operational efficiency gains
Machine LearningSearch EngineShell ScriptingRStudioElasticSearchHadoop

Indian institute of technology, bombay

2 roles

Intern

May 2013 โ€“ Jul 2013 ยท 2 mos

Intern

May 2013 โ€“ Jul 2013 ยท 2 mos

  • Department of Mathematics

Education

Indian Institute of Technology, Bombay

MSc โ€” Applied Statistics and Informatics

Jan 2012 โ€“ Jan 2014

Delhi University

BSc(Hons) โ€” Statistics

Jan 2009 โ€“ Jan 2012

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