Oct 2022 – Feb 2025 · 2 yrs 4 mos · India

• Building the next gen ML powered offerings for Alation Data Catalog
• Building conversational analytics capabilities via generative AI, replacing traditional reports
• Auto asset descriptions for catalog population via foundational model embeddings / open source LLMs
• Next best suggestion for catalog asset owners via RL ML Models
• Responsible for end to end overhaul of the ML & Analytics platform and performance improvements
• Build, own, democratize and monetize the Analytics and ML roadmaps
• Responsible for end to end development. From product discovery, to implementation and rollout
• Responsible for complete product analytics suite including strategy, roadmap democratization to stakeholder alignment and innovation initiatives
• Also responsible for multiple C-Suite level initiative focussed on improving the telemetry stack & packaged insights

Oct 2020 – Oct 2022 · 2 yrs · Gurugram, Haryana, India

• I led the Product Management function for Machine Learning(ML) initiatives at the firm. Responsible for conceptualisation & execution of overall roadmap and strategy regarding ML Initiatives across the Marketing Cloud product stack. Primary focus is on the central MarTech element called Customer Data Platform (CDP)
• Responsible for 13 Machine Learning Modules that plug into multiple products in the stack. Responsible for strategic vision, roadmap planning, stakeholder management, analyst interactions and build/buy decision making.
• KEY RESPONSIBILITIES:
• 1- Responsible for defining and owning the Machine Learning Product Roadmap, Vision and Strategy. I am also responsible for democratizing the ML Vision with Leadership and other Enterprise functions like Sales, Support, Customer Success, Product Marketing and Analyst Relations
• 2- Running the ML Sections for Customer Advisory Boards (CAB) to delve deep into feedback from senior stakeholders at the customer side. Collect and simplify feedback to include/modify existing roadmap to be in line with customer need
• 3- End to end responsibility for new ML technologies R&D Innovation and POCs that can be used in future products
• 4- Build and monitor key KPIs related to machine learning modules for interior and exterior stakeholders. These include things like feature usage, prediction accuracy, prediction engine uptime and compute
• consumptions/projections for P&L
• 5- Run ideation sessions with UI/UX to refine existing ML powered offerings to ensure better KPIs/Metrics and CSAT
• 6- Be the face of Acquia thought leadership for Machine Learning via Analyst Relations forums, Blogs and Prospects
• 7- Run research exercises for build/buy/partner decisions for new features/adjacent offerings that align with the current product stack
• 8- Ensure the engineering team is aligned to the Mission & Vision of the roadmap. Ensure lock step movement with Engineering to ensure alignment on key decisions regarding architecture, solutioning and resource

May 2015 – Oct 2020 · 5 yrs 5 mos · Gurgaon, India

• My role was to develop techniques & machine learning assisted models for textual mining across public web sources, predicting company acquisition trends and M&A Insights
• Traditional deal sourcing is at-best a 2 week process and at worst takes months. We decided to change that using Graph Based knowledge representation and Data Science powered computation. The result is that the system can do Deal-Sourcing, both for Investors aswell as Corporate Venture Funds at the click of a button.
• KEY RESPONSIBILITIES:
• OPERATIONAL
• 1 - Natural Language Processing (NLP) based text analytics/predictions using Word2Vec, Sen2Vec, FastText. The models are used to extract relevant company signals from unstructured corpuses like News, About Us Pages, Public Data Repositories etc.
• 2 - Python based hypothesis testing and subsequent operationalizing for calculating funding likelihood, industry maturity and other proprietary predictive metrics. Numerical analytics models are preliminary developed and tested using KNIME and then put into production pipelines using a combination of R and Python. Models frequently used include Neural Networks, Regression, SVM, Decision-Trees and Random Forest along-with feature identification tools like p/t test, correlation etc.
• 3 - NER (Stanford) Signals Pipeline ownership that reads NEWS from public sources and extracts the relevant Entity like company, investor, customers, sales and reported revenues
• 4 - Helping out with the UI design and coordinating with external design agencies, for custom implementations
• 5 - SQL Reporting
• STRATEGIC
• 1 - Running product roadmap and feature development ideation sessions with stakeholders
• 2 - Competitive Intelligence & positioning of the offering in the market
• 3 - Leap-frog tech initiatives,assist senior management for constantly staying ahead of incumbents
• 4 - Sales team assistance & support to customer success
• 5 - UI/UX design and wireframing for user journey design

Feb 2013 – Apr 2015 · 2 yrs 2 mos · Gurgaon, India

• Working for Microsoft Global R&D - Primarily responsible for preparing Competitive Analytics for Asset Pricing in the User Interface Domain.
• Asset classes included IP for Augmented Reality, Gestures, 3D UI and Social Networks.
• Assisted in providing data driven monetisation strategy for Wearable and Virtual Reality products classes that did not make it to consumers.
• Also responsible for suggesting potential IP asset investment/divestment for the respective technology areas.

Aug 2012 – Dec 2012 · 4 mos · Gurgaon, India

• Sports Media strategy for Cricket Australia, ACA and Adidas Japan.
• Responsible for developing pricing models for physical advertising assets within the stadiums and players jersey

Sep 2007 – Jan 2008 · 4 mos · Allahabad Area, India

• Worked as Market Strategist for HBP India Limited.
• Helped develop sales policies and product distribution strategy(For Books and Printed Material).
• Oversaw the implementation of changing the Distribution Channel from Company Owned & Distributed to Company Owned,Re seller Distributed.