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.
Skills
Leadership and Management
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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
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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
