Deepak Mishra — CEO

Amplifying Human Potential using the Power of Artificial Intelligence! TL;DR Enthusiastic and seasoned AI leader with a distinguished career of two decades, recognized for advising senior management on emerging tech integration and driving millions of dollars in revenue growth and boosting retention rates to high nineties. Proven expertise in designing mission-critical Agentic AI and machine learning models on cloud platforms, contributing to transformative strategies for leading banks and global fintech companies. Engineered a paradigm shift in data-driven decision-making, culminating in a remarkable 60% adoption. Spearheaded the development and deployment of mission-critical machine learning models on prem, on cloud platforms, Azure, AWS and GCP, ensuring unparalleled scalability and reliability. Passionate about talent development, fostering innovation, and delivering top-quality training Leadership Beyond Excellence: Pioneered the establishment of a vibrant AI community and a Data Science Center of Excellence, fostering an environment where collaboration and Innovation flourish. Globally sought and cultivated high-performing data science teams, instilling a culture of excellence. Innovative Mastery: Proficient in Designing and Deploying Gen AI based solutions from scratch. Commanding an arsenal of cutting-edge techniques in Artificial Intelligence, Natural Language Processing, Computer Vision, Gen AI using Machine Learning algorithms like XGBoost, Deep Neural Networks, Causal Inference, etc., to drive profitability and propose innovative solutions. Technical Prowess: Fluent in a broad array of tools, system design, and cloud platforms (AWS, GCP), I embody the role of a versatile technologist and visionary architect of cutting-edge solutions. Proven expertise in a diverse toolset, including R, Python, SAS, SQL, h2o, scikit-learn, genism, spacy, keras, tensorflow, transformers, AWS SageMaker, GCP Vertex AI, Snowflakes, Databricks, Jupyterlab, GitHub, Jira, langchain, vector databases and many more! AI Governance, Enterprise AI Strategy, AI Product Management, AI Risk Management, P&L Ownership, Data Monetization

Stackforce AI infers this person is a Fintech and AI solutions architect with extensive experience in driving innovation and revenue growth.

Location: Bengaluru, Karnataka, India

Experience: 19 yrs 9 mos

Skills

Generative Ai
Ai Platforms And Engineering
Machine Learning
Natural Language Processing (nlp)
Business Strategy
Risk Management
Predictive Modeling

Career Highlights

Two decades of AI leadership experience.
Proven track record in driving revenue growth.
Expert in designing mission-critical AI solutions.

Work Experience

MSCI Inc.

Managing Director AI Engineering & Gen AI solutions (1 yr 7 mos)

Wells Fargo

Head of Gen AI & ML Model Development Center for Consumer & Wealth (2 yrs 2 mos)

ZEE - Technology & Innovation

Head of Data Science (5 mos)

LSEG (London Stock Exchange Group)

Director Customer Insight & Analytics (11 yrs 6 mos)

HSBC

Analyst, Credit Risk Management (3 yrs 3 mos)

Indian Institute of Technology, Kanpur

Associate for Teaching (10 mos)

Education

Masters at Indian Institute of Technology, Kanpur

B.Tech. at GGS Indraprastha University, Delhi

Deepak Mishra

CEO

Bengaluru, Karnataka, India19 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Two decades of AI leadership experience.
Proven track record in driving revenue growth.
Expert in designing mission-critical AI solutions.

Stackforce AI infers this person is a Fintech and AI solutions architect with extensive experience in driving innovation and revenue growth.

Contact

deepak.mishra@msci.com LinkedIn

Skills

Core Skills

Generative AiAi Platforms And EngineeringMachine LearningNatural Language Processing (nlp)Business StrategyRisk ManagementPredictive Modeling

Other Skills

Agentic AILeadershipQuantitative AnalyticsML OpsLanguage ProcessingInvestment DecisionsOptimizationTechnical LeadershipLarge Language Models (LLM)Customer InsightProduct DevelopmentArtificial IntelligenceSAS programmingAI GovernanceAI Product Management

About

Experience

19 yrs 9 mos

Total Experience

3 yrs 7 mos

Average Tenure

1 yr 7 mos

Current Experience

Msci inc.

Managing Director AI Engineering & Gen AI solutions

Nov 2024 – Present · 1 yr 7 mos · Bengaluru · Hybrid

Build Gen AI technology at scale to Acquire and Transform Unstructured Regulated Data into Commercial Product.
As Managing Director, AI Engineering & GenAI Solutions at MSCI, I'm responsible for shaping and delivering the next generation of AI products and platforms across Index, Analytics, ESG & Sustainability, Climate, Private Capital and Real Estate businesses.
My remit spans AI driven data acquisition and commercial product development using LLM agent design, RAG architectures, Conversational AI, Agent Building Platform and all implemented on secure, production grade AI infrastructure.
Leading cross-functional teams across Data, Research, Engineering and Product, and partner with hyperscalers and AI labs (OpenAI, Anthropic, Microsoft, Google) to accelerate delivery.
· Build and scale enterprise GenAI platforms that bridge research and production (LLM ops, RAG, vector stores, feature stores).
· Design agentic AI and LLM agent solutions for domain-specific workflows (research automation, client engagement, data enrichment).
· Lead cross-functional teams (AI research, platform, product, data) and operationalize model governance, validation and compliance.
· Deliver business outcomes for Indexing, Analytics, ESG/Climate and Real Assets through AI-enabled automation and productization.

Generative AIAgentic AIAI Platforms and EngineeringBusiness StrategyLeadership

Wells fargo

Head of Gen AI & ML Model Development Center for Consumer & Wealth

Sep 2022 – Nov 2024 · 2 yrs 2 mos

Responsibilities:
Lead the development of AI solutions for Wealth & Investment Management, Consumer Banking, and Small Business Banking Portfolio, collaborating closely with business leaders to identify strategic areas for AI-driven enhancements in marketing, personalisation, and optimisation.
Conceptualise and develop Generative AI based solution to enhance efficiency and experience.
Key Achievements:
Led the successful development and deployment of multiple AI models, contributing to a remarkable 50% Year-over-Year increase resulting in significant revenue growth.
Pioneered the application of Computer Vision algorithms for Ad Optimization, projecting a significant estimated impact brand presence and revenue.
Fostering Research & Innovation:
Led Research & Innovation initiatives in Consumer Banking & Wealth and Investment Management, publishing multiple research papers and introducing the concept of Collaborative Research
Team Leadership:
Successfully hired, mentored, and inspired a high-performing team comprising of Quants, Data Scientists, Data/ML Engineers, achieving employee engagement score.

Natural Language Processing (NLP)Machine LearningQuantitative AnalyticsML OpsLanguage ProcessingInvestment Decisions+2

Zee - technology & innovation

Head of Data Science

Apr 2022 – Sep 2022 · 5 mos

Role: Head of Data Science (Reporting to Chief Data Officer)
Establish the AI strategy, aligning with business OKRs for customer and advertising revenue.
Achievements :
Led a dynamic team in fostering innovation for User engagement and Advertising revenue.
Drove the selection of the latest tools and technologies, ensuring technological relevance and efficiency.
Designed and implemented robust processes for data collection, analysis, model development, deployment, and evaluation, ensuring governance and efficiency
Proposed the roadmap for establishing a Center of Excellence (CoE) for AI/ML/NLP
Enhanced in-house capabilities for Discovery, Search, & Personalization

Business StrategyNatural Language Processing (NLP)Large Language Models (LLM)Language ProcessingCustomer InsightTechnical Leadership+1

Lseg (london stock exchange group)

Director Customer Insight & Analytics

Sep 2010 – Mar 2022 · 11 yrs 6 mos · Bengaluru, Karnataka, India

In a dynamic 12-year tenure at Thomson Reuters, I evolved from a Senior Data Scientist to the Leadership position of Director Customer AI. My role was characterized by a strategic focus on reshaping the data landscape, where I pioneered initiatives in Data Engineering, Data Science, AI, and Recommendation systems. Functioning as a catalyst for change, I played a pivotal role in elevating data-driven decision-making.
Leadership and Collaboration: As the Director of Customer AI, I successfully led collaboration across departments to develop models and strategies aimed at achieving growth and retention targets.
Strategic Impact: Developed and implemented models and strategies that resulted in a commendable significant growth in revenue, retention and product usage.
Revenue Impact: Partnered with Sales to create and deploy the AI solution, demonstrating a strategic approach that improved lead generation efficiency by 10X.
Infrastructure Roadmap: Formulated a comprehensive roadmap for the analytics infrastructure, showcasing a forward-thinking approach to technology and data management.
Entity Recognition
Designed a novel Entity Matching Algorithm on a vast dataset of 300+ million records, resulting in enhanced marketing strategies and database enrichment.
Predictive Modeling for Retention & Growth
Implemented advanced ML algorithms to identify customers with high growth potential and probable cancellations, delivering an impressive growth in revenue. These strategies led to retention rates surge establishing a loyal customer base.
Cross-Sell Recommender System
Engineered a robust Recommender System using Collaborative Filtering, Matrix Factorization, LSTM, creating Cross sell opportunities.
Analysis of Customer Feedback
Conducted in-depth analyses of free text from service cases and customer surveys using sophisticated algorithms (Transformers, BERT), extracting valuable insights on acquisition and cancellation dynamics.

Natural Language Processing (NLP)Machine LearningQuantitative AnalyticsLarge Language Models (LLM)LeadershipProduct Development+3

Hsbc

Analyst, Credit Risk Management

Jun 2007 – Sep 2010 · 3 yrs 3 mos · Bangalore

Credit Card Portfolio Risk Management (North America)
Development of strategies for Credit Line Management for Prime Cards portfolio
Behavior based segmentation of portfolio
Portfolio health diagnosis by analyzing internal as well as external factors using Credit Bureau data
Auto Finance (North America)
Modeling and Scoring Analytics
Development, Monitoring & Tracking of Risk Scorecard
Portfolio Management
Assessing health of portfolio and development of strategies pertinent to improving portfolio risk
Risk based segmentation of portfolio
Optimizing collections strategy