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.
Principal Data Scientist, Applied AI, Strategy and Analytics
Deloitte Consluting India Pvt Ltd
March 2018
to July 2019
Bengaluru
India
- 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
Team Lead, Data Analytics Consultant at Goldman Sachs
Helios & Matheson IT Ltd
January 2011
to August 2013
Full-time
Bangalore
India
- 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.
Senior Software Engineer (Analytics & Business Intelligence)
AXA Group Solutions Pvt Ltd
October 2009
to January 2011
Full-time
Bangalore
India
- 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
Software Engineer(Statistical Modeler)
HCL Technologies Ltd
October 2006
to October 2009
Full-time
Bangalore
India
- 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
Branch Manager (Business and Software Development) @ Startup
Veta
July 2005
to July 2006
Full-time
Bangalore
India
- 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
Data Science Specialization
Johns Hopkins University Online Course via Coursera
April 2014
to December 2015
Project: Predict restaurant review ratings based on review comments and recommend best restaurant given the type food you want to eat.
https://www.coursera.org/account/accomplishments/specialization/BKJ9UEBWKSVX
https://www.coursera.org/account/accomplishments/specialization/BKJ9UEBWKSVX
BE in Mechanical Engineering - 70% (Distinction)
Visvesvaraya Technological University, Karnataka, India
September 2001
to June 2005
Studied Computer Programming, Mechatronics, Mathematics, Operational Research and Production and Operation Management besides core Mechanical Engineering subjects
XII - Science and Maths- 76%
Karnataka pre-university board, Karnataka, India
September 1999
to June 2001
Skills
Leadership and Management
-
Ability to build AI Strategy and execution roadmap for client organization learning the overall business objectives and hiring high performance teams
Hiring high performance teams
- Own the entire journey and showcase value
-
Strategic planning, hiring high performance teams, coaching team for high performance, Product lifecycle management, Talent Management
Product Management
- Data Science Life Cycle Management(SDLC), delivery and stake holder management
- Ability to simplyfy and map complex problems into small executable chunks
- Staying focused, staying intense yet calm, inspiring and influencing others to do more
Data Science, Machine Learning, Deep Learning, Computer Vision
- Generative AI, LLMs, Transformers, Open AI GPT APIs, Google Vision, Lama, Hugging face
- Statistical Methods: Time series, regression models, AB Testing, hypothesis testing, principal component analysis and dimensionality reduction, Probability analysis, Poisson distribution
- Exploratory data analysis, Feature Engineering, Hypothesis testing, Feature selection
- Machine Learning: Clustering, Classification, Random forests, Gradient Boosting, VW Logistic Regression,
- Text mining, NLP, K-nearest neighbors
- Collaborative filtering and market basket analysis
- Deep learning: Tensor flow, pytorch, RNNs, CNNs, LSTMs, Computer vision
- Amazon ML platform, Sage maker, Azure ML and GCP
- Cross validation, Model optimization
- Industrial IoT, Artificial Intelligence
- Python, PySpark, R, Scala, Advanced Sql, Apache Airflow, Presto
Data Engineering and BI
- Big Data - Hadoop and Spark, Hive, Presto, Airflow
- Dimensional Modeling: Star Schema and Snowflake Schema Design, ETL - R, Python, Scala, Pig, Hive, SSIS, Talend, Informatica, Stored Procs and Unix shell scripts
- BI - Tableau, Qlick View, Micro Strategy and SSRS
- RDBMS - Sql Server, Sybase ASE/IQ, Oracle 11g, DB2
