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40 Under 40 Data Scientists Awards 2025 – Meet the Winners

Amidst the three days of AI and ML workshops, conferences, presentations, and tech talks at the Machine Learning Developers Summit (MLDS) 2025, about 40 dynamic data scientists were presented with the 40 Under 40 Data Scientists Award on Thursday.
This award recognises India’s top data scientists and their achievements in the machine learning and analytics industry.
This year’s winners are driving real impact at some of the world’s most influential companies, including Razorpay, HSBC, Genpact, PepsiCo, Bloomberg, Ford Motors, Paytm, Tata, Wells Fargo, Accenture, and more.
They are creating AI solutions that improve efficiency and developing data models that prioritise privacy. More than just driving innovation, they are also fostering a culture of learning and growth.
The Winners of the 40 Under 40 Data Scientists Awards 2025.
Abhinav Vajpayee, Senior Manager, Analytics at Razorpay Software Private Limited.
A hands-on innovator in data-driven business strategy, Abhinav takes part in optimising payments, ads, and content acquisition. His solutions at Razorpay, Swiggy, and Vuclip boosted retention, ad revenue, and cost efficiency, earning industry recognition.
Abhishek Kumar, VP, Analytics Lead at HSBC.
Abhishek is a data science leader known for high-impact analytics solutions across banking, FMCG, and retail. His work spans forecasting, pricing models, and customer insights, earning multiple awards for innovation and business impact.
Akhil Makol, Principal Engineer at NatWest Group.
Akhil leads the data strategy and cloud architecture for commercial & institutional domains. He drives AI and analytics adoption by aligning data products with banking standards and leveraging AWS Data Lake.
Akshay Jain, AGM – Lead Digital Downstream at Hindalco Industries Ltd.
Akshay Jain is a data scientist transforming aluminium manufacturing with AI, predictive analytics, and Industry [website] He leads a team that optimises operations and drives AI adoption on the shop floor, focusing on people-centric implementation.
Amresh Kumar, General Manager at Niva Bupa Health Insurance.
Amresh, a data scientist with more than 15 years of experience, has worked across insurance, banking, and digital marketing. He has successfully implemented renewal, planning, and reinsurance models, with certifications in advanced insurance and Google Analytics.
Ankit is a vital member of Genpact’s AI/ML practices. He specialises in computer vision and GenAI solutions. With more than seven years of experience across industries, he is also an active Kaggle competitor and hackathon enthusiast.
Anup Kumaar Goenka, Deputy Director of Data Science at PepsiCo.
Anup is a data science innovator known for AI-driven solutions in forecasting and automation. He developed an award-winning AI meeting summarisation tool and led predictive analytics projects optimising supply chains and financial planning.
Anupam Tiwari, Data Science Manager at GoTo firm.
Anupam contributed to GenAI for Southeast Asian languages, developing Sahabat AI, a suite of LLMs for Indonesian dialects. His models, openly available on Hugging Face, support AI innovation and adoption in Indonesia.
Arjit Jain, Co-Founder and CTO at TurboML.
Arjit is an ML researcher specialising in real-time machine learning for fraud detection and personalisation. A former Google researcher and IIT Bombay graduate, he has -winning papers with more than 200 citations.
Avinash Kanumuru, Senior Manager – Data Science & Engineering at Niyo.
Avinash is a data science contributor who publishes acclaimed articles on platforms like ‘Towards Data Science’. He has also developed open-source Python libraries (ml-utils, pyspark-utils), simplifying ML workflows and enhancing industry best practices.
Debanjan Mahata, Senior ML Research Engineer at Bloomberg.
Debanjan Mahata is a leading researcher in NLP, machine learning, and Document AI, with publications in top conferences and patented innovations in document analysis. His recent work focuses on multimodal Retrieval-Augmented Generation (RAG) for DocVQA, enhancing financial and ESG data extraction.
Dr. Shital Patil, Solution Architect at Robert Bosch.
Dr. Shital, a Prime Minister’s Fellowship recipient, specialises in AI-driven machinery condition monitoring and predictive maintenance. With four patents, she excels in fault diagnosis, XAI research, and solution architecture across India and the Middle East.
Dr. Vikram Singh, Senior Vice President of AI & Digital at EightBit AI Private Limited.
Dr. Vikram is a researcher specialising in image super-resolution, deblurring, and deep learning. His work includes high-frequency refinement techniques and advanced neural networks for sharper image and video processing.
Gaurav Mhatre, Director at Tiger Analytics.
Gaurav, a data science leader with 13+ years of experience, drives AI innovations across CPG, healthcare, telecom, and eCommerce. At Tiger Analytics, he has led route-to-market analytics, pet food optimisation, and 5G network routing using cutting-edge AI algorithms.
Gopinath Chidambaram, Global Technical Director, AI/ML & Cloud at Ford Motors.
Gopinath, an AI/ML professional, holds five patents in autonomous vehicle perception and has filed two more in AI-driven monitoring systems. He is also co-authoring Gen AI Untrained, an upcoming book on AI concepts and applications.
Kantesh Malviya, Associate Vice President – Analytics at Paytm.
Kantesh is a data science leader known for mentorship and thought leadership. He has spoken at IIT Bombay and developed innovative analytics solutions, driving user engagement and revenue growth across industries.
Kulbhooshan Patil, Head of Data Science and Analytics at TATA AIG General Insurance organization.
Kulbhooshan is an award-winning AI leader recognised for innovation in risk management and user experience in insurance. His AI-driven solutions have earned multiple industry accolades, including the Best AI Technology Implementation of the Year and Outstanding AI & ML Solution Provider.
Mahima Bansod, Data Science and Analytics Leader at LogicMonitor.
Mahima is a Data and AI leader with a decade of experience driving digital transformation at companies like Salesforce and Siemens. She has implemented ML models for customer retention, achieving a 94% renewal rate and 40% growth in product adoption.
Mahish Ramanujam, Associate Director – Analytics at Games24X7.
Mahish led an award-winning project, developing a game-wise adaptive user-engagement model inspired by cricket analytics. The model boosted D30 LTV by 20% while reducing spending by 15%.
Mehuli Mukherjee, Vice President at Wells Fargo.
Mehuli, VP at Wells Fargo, is an analytics leader specialising in GenAI, LLMs, and NLP. A gold medallist and PhD researcher, she is developing an Indian Sign Language recognition system while mentoring in AI and advocating for social impact.
Namit developed EXL Property Insights Solution (patent pending) and applies NLP/GenAI to insurance indicates. His work includes LLM-based claim summarisation, fraud detection, and cause-of-loss identification.
Namita Khurana, Data Scientist Associate Director at Accenture.
Namita is a leader in Revenue Growth Management (RGM), specialising in pricing, promotion, and assortment analytics across global markets. She has developed patented solutions, including AI-driven conversational tools for strategy optimisation and decision-making.
Nandita Saini, Manager – AI & Cognitive Solutions at e& enterprise.
Nandita Saini led the productisation of e& Enterprise’s GenAI-based Utilities Copilot. She successfully turned the concept into a launched product, driving innovation.
Nishant Ranjan, Head of Analytics at Godrej Consumer Products.
Nishant developed innovative pricing, forecasting, and AI-powered analytics models, including a first-of-its-kind promotion attribution model. He also pioneered MLOps best practices, enabling scalable machine learning deployment.
Pankaj Goel, Associate Vice President – Innovations at BA Continuum India Pvt Ltd (Bank of America subsidiary).
Pankaj Goel pioneered demand prediction in the CPG industry, analysing country-level demand impact on product lines, earning recognition from Procter & Gamble. He recently completed a proof of concept on digital transformation using LLM/GenAI.
Pavak, a data science leader with 13+ years of experience, has driven business impact through AI and analytics innovations. He designed GenAI-powered chatbots, optimised pricing models, and led multimillion-dollar analytics projects across industries.
Pawan Kumar Rajpoot, Lead Data Scientist at TIFIN.
Pawan has more than 10 years of experience in NLP research and development and has been the winner of 10-plus international competitions. His previous work experience includes companies like [website], Rakuten India and Huawei.
Puspanjali Sarma, Senior Manager – AI at ServiceNow.
Puspanjali is an AI and data science expert specialising in AI product management, NLP, and predictive analytics. Her work at ServiceNow and beyond has driven innovative, AI-driven solutions with measurable business impact.
Rajaram Kalaimani, Senior Principal Data Scientist at Mindsprint.
Rajaram is the architect behind Mindverse, a GenAI platform, and precision agriculture solutions for the agri supply chain. His innovations are now hosted on Google, expanding AI capabilities at Mindsprint.
Ritwik Chattaraj is a data science leader with expertise in Generative AI, LLMs, and robotics. He has led AI/ML innovations at major banks, , and received multiple excellence awards.
Sachin Kumar Tiwari, Deputy Vice President at Canara HSBC Life Insurance business.
Sachin Kumar has led key AI and analytics projects, including GenAI chatbots, customer genomics, and sales governance models. His work spans predictive modelling, sentiment analysis, and geospatial analytics to drive business decisions.
Sairam Mushyam, Head of Data and AI (SVP) at Zupee.
Sairam has revolutionised Real Money Gaming in India through AI-driven innovations, regulatory frameworks, and data infrastructure. His work spans blockchain-based fairness validation, user integrity systems, and GenAI-powered gaming experiences, driving $30M+ in annual revenue growth.
Shravan Kumar Koninti, Associate Director – Data Science at Novartis.
Shravan is an AI researcher and innovator who is developing self-service AI tools and large-scale AI projects. He has won multiple hackathons, pioneered Generative AI applications, and contributed to healthcare AI advancements through collaborative research.
Sumeet Pundlik, Delivery Unit Head at TheMathCompany (MathCo).
Sumeet is an AI and data science expert with a patented service location optimisation system for a global CPG brand. He also explores Edge analytics, pushing the boundaries of predictive maintenance.
Swapnil Ashok Jadhav, Senior Director – Machine Learning & Engineering at Angel One.
Swapnil developed Yubi’s first open-source repository and India’s first Fintech language model, YubiBERT, earning recognition from Meta and media coverage. At Unacademy, he created EdOCR, an OCR tailored for EdTech, and presented it at NVIDIA GTC 2021.
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Synergy Quantum, MP3 International Sign Deal to Boost Quantum Tech for Military

Delhi-based Synergy Quantum and Abu Dhabi-based MP3 International, a subsidiary of Grade One Group under EDGE Group, have signed a sales and distribution agreement to enhance military cybersecurity and quantum technology across the Gulf Cooperation Council (GCC).
The partnership aims to deploy military-grade quantum-secure solutions to protect critical infrastructure, defence operations, and government agencies in the UAE, Saudi Arabia, Kuwait, Qatar, Bahrain, and Oman.
The agreement addresses the growing threats of cyberattacks and the potential vulnerabilities posed by quantum computing.
With conventional encryption standards at risk of being compromised, the collaboration will introduce Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), Quantum Sensing and AI for military and defence applications.
Strategic Collaboration for Defense Security.
Under the agreement, Synergy Quantum’s solutions will be distributed through MP3 International, enhancing cybersecurity for defence and critical infrastructure in the GCC.
Jay Oberai, CEO and Founder of Synergy Quantum, stated, “The rise of advanced cyber threats and the emerging risks posed by quantum computing necessitate a forward-thinking and robust defence strategy.”.
In addition, Dr. Ibrahim Al Kuwaiti of MP3 International noted, “This collaboration empowers us to distribute military-grade cybersecurity products and advanced quantum technologies across the GCC.”.
Military Applications of Quantum Technologies.
The integration of quantum solutions into military operations is gaining traction globally.
Air Marshal GS Bedi (Retd.), VP of business development (aerospace & satellite communications) at Synergy Quantum, noted that quantum cryptography is becoming essential for modern air forces, including those in the Middle East and India.
Others also noted the growing emphasis on quantum capabilities. “Quantum warfare is no longer a distant concept; it is an imminent reality that advanced armies worldwide are preparing for,” stated Lt Gen Nagesh Rao (Retd.), vice president of defense business development at Synergy Quantum.
Key Benefits for Military and Defense Sectors.
Quantum-secured communication enhances protection for sensitive military data, mitigating the risks of cyber threats and quantum-enabled attacks.
AI-powered analysis further adds to this, improving decision-making by enabling real-time data processing and strategic insights. Enhanced operational resilience also allows for faster simulations and more efficient military responses in high-stakes scenarios.
Furthermore, advanced surveillance capabilities, supported by quantum sensors, improve anomaly detection and situational awareness for defence missions. Lastly, secure global connectivity through satellite-based quantum networks ensures encrypted, long-range communication, strengthening the cybersecurity framework for military operations.
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Tata Communications, CoRover.ai Partner to Bring AI Solutions for Government and Enterprises

Tata Communications, India’s leading tech corporation, has partnered with [website], a conversational AI platform, to bring Sovereign AI solutions to Indian enterprises and government bodies. This collaboration aims to strengthen India’s capabilities by providing solutions for e-governance and citizen-centric applications.
By leveraging Tata Communications’ Sovereign AI Cloud Platform, CoRover aims to deliver cutting-edge GenAI solutions using its human-centric conversational AI technologies—including BharatGPT, its proprietary large language model (LLM)—to serve a diverse market.
Sovereign AI refers to a nation’s capabilities to produce artificial intelligence using its own infrastructure, data, workforce, and business networks.
“This partnership represents a landmark moment for Indian AI innovation,” expressed Neelakantan Venkataraman, Vice President and Global Head of Cloud and Edge Business at Tata Communications.
He further stated that as India pursues its Digital India vision, this partnership will represent a significant step towards constructing a robust AI ecosystem that not only meets current demands but also anticipates future needs.
[website]’s Role in Building the Sovereign AI Platform.
In October 2024, [website] had [website] billion clients. BharatGPT, the brainchild of [website], has been driving this growth, using various AI tools to power the Indigenous LLM. This partnership will further this growth.
“Together, we are confident that we can deliver powerful, adaptable solutions that enhance national security, foster local innovation, and bolster India’s position within the global AI ecosystem,” expressed Ankush Sabharwal, co-founder and CEO of [website].
Tools like CoRoAssist, CoRoGrievance, CoRoPayments, CoRoOnboarding, and.
CoRoAnalytics will be made available as ready-to-market AI products that aim to handle diverse use cases such as grievance management, onboarding, and payment processing. Furthermore, these tools will be able to integrate with popular CRM platforms and live agent interfaces for seamless user experiences.
While [website]’s products are not yet open source, the sovereign platform will facilitate open source initiatives for India’s AI talents, empowering India’s future with a more effective AI development ecosystem.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
23.1% | 27.8% | 29.2% | 32.4% | 34.2% | 35.2% | 35.6% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
32.5% | 34.8% | 36.2% | 35.6% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Machine Learning | 29% | 38.4% |
Computer Vision | 18% | 35.7% |
Natural Language Processing | 24% | 41.5% |
Robotics | 15% | 22.3% |
Other AI Technologies | 14% | 31.8% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Google AI | 18.3% |
Microsoft AI | 15.7% |
IBM Watson | 11.2% |
Amazon AI | 9.8% |
OpenAI | 8.4% |
Future Outlook and Predictions
The Quantum Under Data landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Improved generative models
- specialized AI applications
- AI-human collaboration systems
- multimodal AI platforms
- General AI capabilities
- AI-driven scientific breakthroughs
Expert Perspectives
Leading experts in the ai tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"The next frontier is AI systems that can reason across modalities and domains with minimal human guidance."
— AI Researcher
"Organizations that develop effective AI governance frameworks will gain competitive advantage."
— Industry Analyst
"The AI talent gap remains a critical barrier to implementation for most enterprises."
— Chief AI Officer
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing ai tech challenges:
- Improved generative models
- specialized AI applications
- enhanced AI ethics frameworks
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- AI-human collaboration systems
- multimodal AI platforms
- democratized AI development
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- General AI capabilities
- AI-driven scientific breakthroughs
- new computing paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of ai tech evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Responsible AI driving innovation while minimizing societal disruption
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Incremental adoption with mixed societal impacts and ongoing ethical challenges
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and ethical barriers creating significant implementation challenges
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Redefinition of knowledge work, automation of creative processes. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Ethical concerns, computing resource limitations, talent shortages. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Multimodal learning, resource-efficient AI, transparent decision systems. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.