Experience — Sreekantha Thimmareddy

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.

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Experiences

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.

Presented at Analytics Summit on the innovative models that we have built for Hospitality client for Customer Analytics
Created customer segmentation models for a large multinational hospitality industry clients aimed to predict customers who are profitable for clients and tend to become a more prominent member of the client organization. Thus, identifying factors which influence the relation of customers with the client organization. Identified talent, Lead team both in US as well as India.
Built advanced predictive models for upsell, rescission and referrals
Led and managed entire life cycle of Data Science/ML projects
Recruited smart data scientists from top tier universities and built culture of high performance and coaching junior data scientists on firm culture and values

Vice President, Data Science, Investment Management Risk and Market Data

Goldman Sachs Services Pvt Ltd

August 2013 to March 2018

Full-time

Bangalore

India

Being a Data Enthusiast lead team of Data Scientists from IIT/IIMs at Goldman Sachs for Asset Management Risk and Market Data.
Responsible for complete life cycle of project. Collaborated with team in New York and delivered large financial impacts.
Spent time in New York office with senior leadership on team's direction, objectives and budgets
Built predictive modeling for Severe loss scenario analysis, what if analysis. Sentiment Analysis for Portfolio management.
Built user segmentation using classification, clustering and market basket analysis for segmenting the products and customers
Built big data predictive analytics for market data budget prediction and usage analytics using clustering, NLP for user segmentation and market data product recommendation
Designed and Built production-ready machine-learning models and feature extraction systems on both big data such as Hadoop/Spark and on traditional large scale compute farms using Scala, R and Python
Built intelligent dashboards and reports using Tableau and Qlick view
Mentored data science talent in the organisation

Built data science practice for market data usage analytics and built team ground up
Built intelligence dashboards on Hadoop and Spark using pig, hive and Scala along with R and Python
Delivered exploratory data analysis, statistical modelling and machine learning on usage data
Built predictive models for vendor reporting uptick and down tick analysis.

Built Analytics and BI for fixed income group. Spent time in New York offices for business meetings and leadership discussions.
Developed of warehouse, KPI's and dashboards using MicroStrategy and Tableau
Built statistical tools for data exploration

Built statistical models for portfolio risk analysis being part of DB Risk Office using R and Sql

Built dashboards and reports using MicroStrategy & SSRS
Predict VAR for a given portfolios with Monte Carlo simulation and other statistical techniques and develop time sensitive reports to portfolio managers

Delivered Quarter to Quarter growth about 100% in revenue
and 80% in profits. Involved in marketing, operations,
strategic planning, budgeting, hiring, coaching and retaining
high skilled trainers
Built IMS( institute management software) to automate
complete operations by being a technical developer/manager

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Sreekantha Thimmareddy

AI and Data Leader, Deloitte| Former Vice President, Goldman Sachs

AI & Data Leader, Strategy and Analytics

Principal Data Scientist, Applied AI, Strategy and Analytics

Vice President, Data Science, Investment Management Risk and Market Data

Team Lead, Data Analytics Consultant at Goldman Sachs

Senior Software Engineer (Analytics & Business Intelligence)

Software Engineer(Statistical Modeler)

Branch Manager (Business and Software Development) @ Startup