About Me

I am a Senior Data Scientist and BI Lead with over 7 years of experience bridging the gap between complex ML models and multi-million dollar business strategies. Currently at Citizens, I lead high-impact forecasting and product propensity initiatives while architecting enterprise-wide BI ecosystems. Previously, I drove corporate strategy analytics at Red Hat (IBM), delivering comparative forecasts and market intelligence for global cloud portfolios.

🚀 My Business-First Approach

I thrive on dissecting a company's revenue pillars to build the strategic insights that leadership needs to scale. This helps me build ML solutions that bring tangible revenue numbers to the table.

My Current Focus & Growth

🔹 Technical: I am in an intensive growth phase specializing in Generative AI, specifically LLM Orchestration and Agentic AI systems to drive the next wave of enterprise automation.

🔹 Leadership: I am actively refining my Impact Storytelling and communication skills to better translate data into compelling business narratives.

Continuous Learning & Inspiration

Beyond the data world, I am a firm believer in the "Continuous Learning" philosophy. I draw inspiration from:

📖 Strategic Literature: Books like Zero to One, The Lean Startup, and Thinking, Fast and Slow shape my approach to building lean, scalable data products.

🎙️ Business Insights: I am an avid listener of podcasts with entrepreneurial learnings to better understand how to build, grow, and sustain businesses from the ground up.

🏎️ F1 Enthusiast: I am a Formula 1 aficionado, fascinated by the intersection of high-stakes data, split-second engineering-strategy decisions, and team performance.

Contact Details

Aditya Tornekar
Kleingrass Ln
Pflugerville, TX 78660 US
autornekar@gmail.com

Download Resume

Education

Syracuse University

Master of Science - Applied Data Science • May 2021

Coursework:

Data Analysis & Decision Making Data Administration Concepts & Database Management Data Science Concepts
Financial Analytics Business Analytics Data Analytics & Machine Learning
Cloud Management Artificial Neural Networks Big Data Analytics
Enterprise Risk Management Natural Language Processing

University of Pune

Bachelor of Engineering - Computer Science • May 2016

Coursework:

Data Structures & Algorithms Design & Analysis of Algorithms Object-Oriented & Multi-core Prog.
Data Management & System App. Data Mining Techniques Business Analytics & Intelligence
Discrete Structures Operating System & Administration Theory of Computation
Operating System Design Digital Comm. & Wireless Network Concurrent & Distributed Prog.
Embedded Operating Systems Computer Networks Compiler Designs
High Performance Computing Cyber Security Pervasive Computing

Work Experience

Citizens

Data Scientist • September 2023 - Present

Location: Austin, TX | Team: Business Banking Analytics Team

Marketing Leads Orchestration: Smart Leads SFDC Engine, a cross-channel intelligence framework supporting Virtual and Relationship Managed (RM1/RM2) teams. Optimized lead generation for retention and acquisition across the entire Business Banking portfolio driving incremental revenue.

AI-Driven Banking: Developed a high-value Deposit Forecasting Engine for integration into Banker Intelligence (AI Banker IQ) platform, enabling AI-powered real time liquidity conversations and precision cash management for top tier clients.

Executive Intelligence (BI): Established a comprehensive BI ecosystem for the COO and President of Business Banking, monitoring Month on Book (MOB) engagement of New to Bank customers, Net New Customer growth, Business Sales Performance and Client Profitability (PnL & Balance Sheet) to drive enterprise-level decision-making for multi-billion dollar deposits portfolio.

Red Hat, Inc.

Business Data Scientist - 2 • August 2021 - May 2023

Location: Raleigh, North Carolina, United States | Team: Corporate Strategy & CSO Team

Revenue Intelligence: Engineered a multi-stage ML framework for OpenShift (AWS, Azure, GCP). This "Bottom-Up" engine utilized clustering and Decision Trees to segment customers and forecast consumption (nodes/clusters) to predict Long Range Revenue with high precision cemented on backtest simulations.

Strategic Advisory: Presented comparative forecasts at Quarterly Business Reviews (QBRs), enabling leadership to pivot marketing outreach based on data-driven segment shifts and consider where to invest next incremental marketing dollars.

Market Intelligence & M&A Strategy: Built revenue simulations using Gartner/IDC data for Top-Down Revenue forecasts integrated with TAM/SAM/SOM insights for the CSO. Architected a strategic "M&A Engine" that identified startup acquisition "sweet spots" based on cash-burn deltas, and other startup signals improving research efficiency.

Global Optimization: Deployed a Country Prioritization ML model that ranked global markets based on historical revenue levers to optimize resource allocation and drive Market Intelligence platform.

Amdocs

Business Intelligence Engineer - 2 • July 2018 - July 2019

Location: Pune | Team: AT&T Marketing Team

Near Real-Time (NRT) Analytics: Redesigned the Sales Data Mart to deliver Near Real-Time insights. Developed advanced customer segmentation models on NRT data to optimize sales performance monitoring and new customer engagement.

Data Governance & Integrity: Institutionalized a 99.9% data integrity standard for executive KPIs by building an automated validation framework that proactively flagged schema drift across cloud marketing data assets.

Business Intelligence Engineer • July 2016 - July 2018

High-Scale Data Engineering: Engineered scalable ETL pipelines for 200M+ subscription records, achieving a 50% reduction in refresh latency. This enabled real-time churn mitigation and faster actionable insights for DTV, Uverse, and Mobility products.

Merger & Acquisition Data Strategy: Architected the marketing data infrastructure during the Time-Warner Merger. Developed a prospective marketing intelligence framework to analyze customers for cross sell opportunities.

Multi-Product Integration: Spearheaded the data integration for AT&T TV Now and led the RC1 conversion projects, unifying demographics, billing, and viewership data into a centralized marketing data mart.

Stack

As a Data Scientist and BI Lead with 7+ years of experience, I specialize in translating complex ML models and data insights into actionable business strategies. My toolkit spans advanced analytics, generative AI, and enterprise-scale data engineering.

🚀 Advanced ML & Product Strategy

Causal Inference Uplift Modeling Time Series Forecasting Predictive Modeling Deep Learning Behavioral Segmentation Root Cause Analysis Strategic Roadmapping

⚡ Gen AI & Agentic Systems

LLM Orchestration LangChain LangGraph Crew AI RAG Vector Databases Amazon Bedrock NLU Agentic Workflows NBA Modeling

☁️ Data Engineering & Cloud

Python SQL R AWS (SageMaker, Redshift) GCP (Vertex AI, BigQuery) Spark Databricks MLflow Git & GitHub GitHub Copilot Bash

📊 Analytics & AI Learnings

A/B Testing Experimental Design ROI Measurement Stakeholder Management Tableau Looker AI Product Management (Microsoft) Gen AI/Agentic AI (AWS/IBM)

Open to Work

I believe in data

Interested in opportunities as a Data Scientist · AI Engineer · Quant Researcher/Developer

Endorsements

  • Aditya is an amazing individual. I first met Aditya when he was hired as an intern into our small little Corporate Strategy Group at Red Hat. He was soft spoken but incredibly gifted and diligent about the tasks asked of him and found creative and positive ways to contribute to each of the diverse projects he was assigned. He made such an impression that we asked him back for a second summer internship and eventually offering him a full time role on the team. His data science skills are very advanced and he was able to build practical applications of them in support of organizational needs. He would make a wonderful addition to any forward thinking group or organization looking to enhance their data and analytic skills.

    Joe Anglim (Chief Strategy Officer, Red Hat, Inc.)

  • I had the pleasure to be Aditya's manager from 2020 to 2023 at Red Hat. Aditya worked as a data scientist in our Corporate Strategy Team. Aditya work experiences and skills prior to his Master in data science allowed him to be proficient and with a higher degree of work autonomy than normally found at this experience level. During his tenure at Red Hat was able to build on his business acumen and as a result became better in his data science work in a business environment. I will recommend him for any data science related work.

    Bruno Jean (Director, Strategic Analytics & Insights Red Hat, Inc.)

  • Although I have never met Aditya but I have worked with him in offshore onshore model of work. He would ensure task given was done to complete satisfaction without any follow ups. He is technically very strong and has good understanding. His work was greatly appreciated. Hope to work with him sometime in future

    Rohit Sagar(Senior Director Marketing Amdocs)

  • Aditya is motivated, hard working and has a zeal to learn more and more, It’s rare that you come across standout talent like Aditya. I had the pleasure of working with Aditya for two years in Amdocs, collaborating on several project teams. I was particularly impressed by Aditya's ability to handle even the toughest projects—effortlessly. That skill often takes years to develop among experienced professionals. He is a quick learner and already has command on multiple technologies like ETL, Teradata, UNIX and other DW/BI techniques. He is great person to work with and a great asset to any team.

    Mudit Garg(Oracle)

Get In Touch.

Feel free to get in touch with me

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