Stephenson Ebinezer
Chennai
Summary
Enterprise Data Science and Analytics leader with 12+ years of experience driving large-scale AI/ML, advanced analytics, and data products across Finance, FP&A, and commercial domains. Proven track record of building and leading high-performing data science teams, translating complex business problems into scalable analytical solutions, and delivering measurable business value. Deep expertise in production-grade machine learning, Generative AI, forecasting, and big data ecosystems. Strong partner in finance, engineering, and business leadership, with a product mindset and a passion for building data-driven cultures at scale.
Overview
14
14
years of professional experience
Work History
Senior Manager - AI Science
Verizon India
01.2023 - Current
- Define and execute enterprise AI/ML and advanced analytics roadmaps for Finance, FP&A, and Operations aligned to business objectives.
- Architected and scaled production-grade AI/ML and GenAI platforms (LangGraph-based multi-agent systems) enabling AIOps, anomaly detection, and executive decision support.
- Led enterprise financial forecasting initiatives, improving revenue forecast accuracy by 20% and influencing multi-million-dollar budgeting decisions.
- Delivered ML-driven cost optimization and risk mitigation solutions, achieving 15% operational cost reduction and ~20% fraud/loss reduction.
- Built and scaled a 24-member data science organization, establishing MLOps standards, agile delivery models, and a culture of experimentation.
Consultant - Data Science
Verizon India
01.2021 - 01.2023
- Developed ML-driven personalization and recommendation systems for digital retail journeys, improving conversion rates by 25% and increasing online traffic by 47%.
- Built customer retention and loyalty models using behavioral analytics and market basket analysis, increasing retention by 12%.
- Enhanced churn prediction systems through feature engineering and model tuning, improving business actionability.
- Automated analytics reporting pipelines, improving operational efficiency and decision turnaround time.
Specialist - Data Analytics
Verizon India
01.2019 - 01.2021
- Built predictive models for churn and win-back, achieving 85% accuracy.
- Implemented NLP-based topic modeling on call transcripts, reducing IVR call volume by 4%.
- Created Adobe Analytics dashboards to monitor 5G and LTE KPIs.
Early Career - Business & Product Analytics
HCL
01.2012 - 01.2019
- Applied statistical analysis, A/B testing, and funnel analytics to improve digital conversion by up to 10%.
- Delivered sales forecasting, KPI reporting, and project analytics (PERT, hypothesis testing), improving forecast accuracy by 20%.
Education
M.Tech - AI & ML
BITS
Pilani10-2024
MBA - IT
Sri Ramachandra University
Chennai06-2015
Bachelor of Engineering - Biomedical Engineering
Rajalakshmi Engineering College
Chennai06-2012
Skills
Generative AI (LLMs, RAG)
Machine Learning
Natural Language Processing (NLP)
Time Series Forecasting
Recommendation Systems
Predictive Modeling
Anomaly Detection
Python
PySpark
SQL
TensorFlow
PyTorch
Scikit-learn
Apache Spark
Hive
Google BigQuery
Neo4j
MLOps
CI/CD
Kubernetes
Git
Tableau
Power BI
Qlik
Adobe Analytics
Finance Analytics
FP&A
AIOps
AI Strategy
Cross-Functional Leadership
Governance and Value Realization
Timeline
Senior Manager - AI Science
Verizon India
01.2023 - Current
Consultant - Data Science
Verizon India
01.2021 - 01.2023
Specialist - Data Analytics
Verizon India
01.2019 - 01.2021
Early Career - Business & Product Analytics
HCL
01.2012 - 01.2019
M.Tech - AI & ML
BITS
MBA - IT
Sri Ramachandra University
Bachelor of Engineering - Biomedical Engineering
Rajalakshmi Engineering College