Mar 2023 – Feb 2024 · 11 mos · Bengaluru, Karnataka, India · On-site

• Advising, consulting, and implementing AI, with focus on Generative AI and LLMs, at diverse startups.
• ⏩Start-ups and orgs engaged with- a) Nuware Systems LLP b) www.ffreedom.com, c) www.race.reva.edu.in and d)couple of start-ups in stealth mode.
• ⏩Leading Gen AI Product and Services development
• ⏩ Hired a team of 10+ Data Science and Data Engineering professionals within 30 days.
• ⏩ Developed a 'Lead Scoring' model which provides 2.5X lift in prospect to customer conversion
• ⏩Automated Speech Recognition (ASR) of India's regional languages such as Kannada, Telugu, Hindi, Tamil, Malayalam, English and others to enhance AI capabilities for analyzing voice data for Natural Language Understanding (NLU) and Natural Language Processing (NLP) to better understand and engage with a prospect/customers and drive automation
• ⏩Recommendation Engines- Build AI powered recommendation engines to recommend timely and relevant course content/videos to a prospect or customer and drive deeper engagement with the courses
• ⏩AI Industry Benchmarking- Collaborate with external AI vendors and tools to drive efficiency and improvement across all areas.
• ⏩Product and App analytics to drive user acquisition, user engagement and experience enhancement strategies
• ⏩Data Visualization, Reporting and Dashboarding to facilitate on-time and on-point reporting of the key business performance indicators (KPIs) and drive actionable insights to take appropriate business actions
• ⏩YouTube, Meta and other Social Media Analytics to optimize marketing campaign effectiveness, SEO and conduct influencer analytics

Nov 2019 – Feb 2023 · 3 yrs 3 mos · Bengaluru Area, India

• ⏩ Led a 27 members Research Scientist (Data Scientist), Business Analyst (BA) and Business Intelligence Engineer (BIE) team to draw actionable insights and build Machine Learning and Deep Learning models from structured and unstructured data such as text, speech and images to drive defect elimination, fraud prevention and customer experience enhancements.
• Key responsibilities include-
• ⏩ Stakeholders management and driving collaboration with 20+ different countries across Asia Pacific, Americas, Europe and Middle East for Analytics and ML projects initiation and execution
• ⏩ People Management, Hiring and Upskilling
• ⏩ Natural Language Processing and Understanding (NLP/NLU)
• ⏩ Automatic Speech Recognition (ASR)
• ⏩ Computer Vision and Image Recognition
• ⏩ Vernacular Products Development
• ⏩ Voice/Chat Bots Optimization
• ⏩ Business Intelligence and Visualization Dashboards and Analytics
• ⏩ Design of Experiments (A/B Testing)
• ⏩ Automation and Efficiency Improvement
• ⏩ Leading People and Org level initiatives such as Diversity, Equity and Inclusion (DEI), Dive Deep and Experimentation

Sep 2016 – Nov 2019 · 3 yrs 2 mos · Bangalore

• ⏩Kabbage is blazing a trail in big data & fintech. Kabbage is more than a lender for small businesses by providing them end to end solutions to run their business
• ⏩Kabbage uses machine learning and deep learning algorithms with thousands of features to assess customer risk and fraud profile within few mins
• ⏩Kabbage was acquired by American Express (Amex) in 2020
• Key responsibilities included-
• ⏩Stakeholders management and driving collaboration with all teams in the org such as Marketing, Risk, Fraud, Finance, Tech and Legal for execution of Analytical and ML projects.
• ⏩ Machine Learning and Deep Learning models development in the areas of - Risk, Underwriting, Fraud , Collections, Prospect & Customer segmentation/targeting, Macro economic impact assessment and Customer Relationship enhancement
• ⏩People Management, Hiring and Upskilling
• ⏩Hands-on analytical projects in newer areas such as blockchain, macro economic factors
• ⏩Brand building in the India through presentations and speaking at different conference
• ⏩Lead 50+ Data Scientist and Analytics team in creating high quality analytical solutions for all aspects of the lending and collections business
• ⏩Define metrics that track engagement across our site and apps
• ⏩Drive the performance of current and new product initiatives by leveraging appropriate statistical techniques and infrastructure
• ⏩Work with data infrastructure / back-end peers to define the data collection needs for future work

Dec 2015 – Sep 2016 · 9 mos · Bangalore

• ⏩Qbera is a managed marketplace for unsecured personal loans that leverages tech-enabled acquisition, underwriting and loan processing capabilities to offer credit products co-created with banks that are part of Qbera's multi-lender network.
• Key responsibilities included-
• ⏩Set up the entire practice for Analytics and Machine Learning based credit risk underwriting and decision making on unstructured loans.
• ⏩ Was the very first team member along with the founder to hire for all roles including Head of Risk, Head of Business Development.
• ⏩ Explore and integrate diverse sources of data such as Bureaus (CIBIL Transunion, Experian, Equifax, CRIF Highmark), Government Data (UAIDAI Aadhar, Voters ID, NSDL), Customer Financials (Bank Data), Demographics, Social Networks, Browser, Email, Psychographics and other unstructured data from diverse sources into credit decision making
• ⏩Customer segmentation and related products and servicing development
• ⏩Credit Risk Scorecard development and deployment
• ⏩Loan pricing and collection strategy
• ⏩Liaison with company’s data and technology vendors
• ⏩ Multi-tasks and support other areas- operations, institutional client’s management, capital planning etc.
• ⏩Spearheaded the development and execution of all vital risk and analytics strategies for the company that provided an excellent launch pad for company's operations. Some notable contributions-
• Customer Segmentation Development
• Loss Prediction Framework Development
• Risk Based Pricing Strategy
• Identification and Incorporation of Diverse and Unconventional Data Sources
• Credit Underwriting Scorecard and Guidelines
• Employer Scorecard
• Portfolio Simulations and Profit/ Loss Modeling
• Stakeholders Revenue Sharing Model

Jul 2010 – Aug 2015 · 5 yrs 1 mo · Bangalore

• ⏩ Led a team of 20+ individuals and 3 managers to support analytics work across all lines of business in bank- Credit Cards, Retail Banking, Mortgage, Digital, Mobile Wallet etc.
• ⏩ Part of the Senior Leadership team, and Analytics Delivery Lead for couple of geographies.
• ⏩ Led several site level initiatives to enhance project management discipline, improve manager effectiveness and promote team's engagement across all teams.
• ⏩ Awarded "Leader in Action" For extraordinary people and stakeholder management, building domain expertise, thought leadership, innovation and leveraging global best practices. Given to 2 persons out of 400 every year.
• ⏩ Awarded "Outstanding Revenue Impact" for successfully executing strategies that resulted in incremental balances generation of $1Billion USD. Given to one team only out of 1500+ global employees across different countries.
• ⏩ Awarded Project Excellence Award- For creating innovative solutions that resulted in significant revenue upside.
• ⏩Key Focus Areas:Global decision management, New customer acquisition strategies, Existing customer management, Customer/product lifecycle management, Cross-sell and sales improvement strategies, Risk management, Statistical/predictive modeling, SAS/SQL data mining/analysis team, Financial and P&L forecasting and optimization, Regression, Segmentation, CHAID/CART, Senior management interface, Clients relationship management, Training and motivating team members, Project/program management, Qualitative/quantitative Research

Jun 2009 – Jul 2010 · 1 yr 1 mo

• AWARDS/ ACCOLADES / ACCOMPLISHMENTS
• Led a team that consists of senior financial analyst and business/statistical analysts to support 2nd largest discount retailer in the USA. Also led the team which won "Annual Leadership" award presented by the CEO.
• Key Focus Areas- * SAS, SQL data mining/analysis team * Statistical/predictive modeling * Financial and P&L forecasting * Regression, segmentation * Business problem solving * Senior management interface *Clients relationship management *Training and motivating team members * Project/Program Management

Aug 2006 – May 2009 · 2 yrs 9 mos

• Key Focus Areas- * Supply vs demand and other operational planning and modeling * Capital investment planning and modeling * Global teams management * Senior management interface * SQL based data mining * Clients and partners relationship management * Global projects/programs management * Training and motivating international team members

Sep 2000 – Mar 2005 · 4 yrs 6 mos

• Key Focus Areas- * Data mining/analytics using statistical tools such as SAS, SQL, JMP and Spotfire * Statistical/Predictive modeling and pattern analysis * Design of Experiment (DOE) * Hypothesis building & testing * ANOVA, regression, segmentation, PCA, Variance analysis, etc. * New product introduction and features optimization * Business problem solving * Cross-functional team coordination * Development and standardization of data analysis and summarization tools