Sreekantha Thimmareddy
AI and Data Leader, Deloitte| Former Vice President, Goldman Sachs
Professional Status
Employed
Available
About Me
Profile Overview:
Leader with an ability to bring ideas with commercial success by influencing stake holders and by building high performance teams.
I specialize in integrating artificial intelligence into product and business operations, focusing on Large Language Models (LLMs), generative AI and Deep Learning Models to drive strategic innovations. I delivered projects which created an ROI of $200M for our clients last year.
Leader with experience in AI Strategy, Technical expertise in statistical modeling, machine learning, deep learning and computer vision.
Good taking data science/ML to non-technical business audiences.
Frequent speaker at local data science events.
18+ years of Industry and startup experience in Life Sciences, Health Care, Auto, Manufacturing and Finance.
Leader with an ability to bring ideas with commercial success by influencing stake holders and by building high performance teams.
I specialize in integrating artificial intelligence into product and business operations, focusing on Large Language Models (LLMs), generative AI and Deep Learning Models to drive strategic innovations. I delivered projects which created an ROI of $200M for our clients last year.
Leader with experience in AI Strategy, Technical expertise in statistical modeling, machine learning, deep learning and computer vision.
Good taking data science/ML to non-technical business audiences.
Frequent speaker at local data science events.
18+ years of Industry and startup experience in Life Sciences, Health Care, Auto, Manufacturing and Finance.
AI & Data Leader, Strategy and Analytics
Deloitte Consulting LLP
Since August 2019
Atlanta
United States - Georgia
- I specialize in integrating artificial intelligence into product and business operations, focusing on Large Language Models (LLMs) and generative AI to drive strategic innovations. I delivered products which created an ROI of $200M for our clients last year
- Lead Health care data Science for Health Care provider with a team of research data scientists to build cure to care personalized recommendation models. Responsible to build out the entire Data Science product and integrating with client systems
Led prototype of "Matching Engine" into a scalable solution being an architect and lead for source to target mapping using Natural Language processing for life science client and this stood joint 1st place with client evaluation
Led diabetics progression prediction models for large life science client using out of box feature engineering techniques and these are being followed up with number of RFPs
Led initiatives in AI Garage and delivered innovative solutions and converted opportunities with life science client
Nurtured data scientists to strive for high performance and kept them engaged in building accelerators, products
Responsible for revenue, budget, managing the stockholders as well as hiring top talent along with the technical deep dive into AI and ML - My leadership in AI and Data at a major automotive manufacturer has produced significant transformation to their supply chain and EV in ROI and operational efficiency.
Optimized electric vehicle charging station placement prediction with google maps and utilities data. Delivered service parts pricing, and enhanced inventory forecasting through deep learning, transformers and LLMs collectively increasing revenue, margin, saving costs and improving efficiencies.
Architected and delivered large scale data and AI platform that can train million models at scale. Implemented scalable Data and MLOps architectures supporting a broad range of ML and DL models, crucial for efficient supply chain and inventory management.
Leveraged predictive analytics for maintenance and operations in manufacturing, achieving multimillion-dollar impacts through increased equipment efficiency.
Advanced consumer engagement through marketing data science projects, employing advanced analytics like attribution modeling and recommendation systems.
Enhanced user experience in consumer apps through an image processing pipeline using Google Vision and a generative AI framework for text-based consumer healthcare solutions. - Lead Financials forecasting for consumer electronics client for their PnL and helped with insights on revenue opportunities as well as cost reduction opportunities directly impacting PnL
Also, worked very closely with senior finance leadership and technology leadership. - For Large Tech client in Silicon Valley, built strategy and execution roadmap along with staffing and budgeting for scalable machine learning for demand management using Spark, GUPs using Python, PySpark and SQL for creating and deploying models, Presto engine, Airflow for processing terabyte scale data for training and testing models.
Experience with Cloud platforms such as GCP, AWS and Azure and be able to build ground up analytics engagements for clients.
