Sriharsha Cherala
Hyderabad
Summary
Data science manager with extensive experience at Goldman Sachs, focusing on AI and machine learning. Developed innovative solutions that improved audit processes and ensured regulatory compliance. Recognized for enhancing team collaboration and delivering analytics tools that significantly boosted operational efficiency and decision-making.
Overview
14
14
years of professional experience
Work History
Vice President & AI Manager
Goldman Sachs
Hyderabad
01.2021 - Current
- Mentored high-performing AI team, promoting collaboration and innovation for successful project outcomes.
- Spearheaded development of Generative AI model using LLMs and LangChain for intelligent audit query engine.
- Engineered robust data pipeline with AWS Textract's OCR to process numerous PDFs for AI model access.
- Delivered conversational AI tool that expedited audit research by providing concise, cited responses to complex queries.
- Acted as primary liaison between data science team and Internal Audit, translating business needs into technical requirements.
- Oversaw lifecycle of machine learning projects from conceptualization through deployment and monitoring.
- Architected analytical tool to classify consumer complaint narratives using Python and clustering algorithms.
- Developed topic modeling algorithm to extract insights from unstructured text, enhancing understanding of customer pain points.
Associate
Goldman Sachs
09.2018 - 12.2020
- Developed machine learning model that enabled quantitative assessment of optimal trade execution factors in Securities and Private Wealth Management.
- Delivered data-driven framework that ensured compliance with 'Best Execution' standards for auditors.
- Created analytical dashboard visualizing trade patterns and risk levels for Goldman Sachs Asset Management accounts.
- Automated trade data analysis, facilitating rapid identification of high-risk transactions based on account values.
Data Scientist
General Electricals
01.2017 - 09.2018
- Engineered machine learning algorithm to predict payment dates for invoices and purchase orders, addressing cash flow challenges.
- Enhanced cash flow forecasting by delivering insights into payment delays, optimizing working capital management.
- Created statistical forecasting tool using ARIMA model in R to predict inventory needs for consoles.
- Facilitated data-driven inventory management through precise sales trend forecasts, reducing holding costs.
- Developed predictive model using R and cluster analysis to forecast workspace occupancy based on historical patterns.
- Delivered insights into spatial usage patterns, aiding corporate real estate in optimizing office layouts and resource allocation.
- Constructed machine learning model to predict GE institutional shareholders' buying and selling behavior using Weight of Evidence and Information Value techniques.
- Provided actionable intelligence on shareholder decision drivers, enhancing Investor Relations strategies and understanding of investor sentiment.
Senior Reporting Analyst
United Health Group
11.2015 - 01.2017
- Developed advanced Tableau dashboards for KPI tracking and client performance evaluation using clustering techniques.
- Created machine learning models to analyze claims trends, accurately predicting processing capacities and arrival times.
- Optimized supply chain logistics by designing dashboards for pharmacy shipment metrics and utilizing R for predictive modeling.
System Engineer
TCS
06.2012 - 11.2015
- Increased operational efficiency by developing and automating processes for report generation, notifications, and payment processing using SQL Server Agent and SSIS.
- Ensured data integrity and supported business analytics by managing database performance and developing SQL solutions for complex ETL operations and trend analysis.
- Accomplishments: Star Performer of the Year
- Recognized as 'Star Performer of the Year' for three consecutive years (2012-15) in recognition of outstanding leadership and project impact, while working with TCS.
- Letters of Appreciation: Consistently received multiple Letters of Appreciation from senior leadership and stakeholders for delivering high-quality analytics and maintaining exceptional performance standards.
- Handled ad-hoc requests: Successfully executed numerous high-priority, ad-hoc analytical requests, delivering with 100% accuracy under stringent timelines and demonstrating agility in a fast-paced environment.
Education
Advanced Management Programme - Business Analytics
ISB
01.2016
Bachelor of Technology - Engineering
Koneru Lakshmaiah College of Engineering
01.2012
Skills
- Artificial intelligence and machine learning
- Generative AI and LLMs
- LangChain and RAG
- Natural language processing
- Topic modeling and BERT
- XGBoost and gradient boosting
- AWS Textract expertise
- Banking and finance knowledge
- Internal audit analytics
- Asset and wealth management strategies
- Global markets insight
- Regulatory compliance expertise
- Agile methodologies
- Project management skills
- Team leadership capabilities
Accomplishments
- Star Performer of the Year, Recognized as 'Star Performer of the Year' for three consecutive years (2012-15) in recognition of outstanding leadership and project impact.
- Letters of Appreciation, Consistently received multiple Letters of Appreciation from senior leadership and stakeholders for delivering high-quality analytics.
- Handled ad-hoc requests, Successfully executed numerous high-priority, ad-hoc analytical requests, delivering with 100% accuracy under stringent timelines.
Languages
- English
- Hindi
- Telugu
- English
- Hindi
Timeline
Vice President & AI Manager
Goldman Sachs
01.2021 - Current
Associate
Goldman Sachs
09.2018 - 12.2020
Data Scientist
General Electricals
01.2017 - 09.2018
Senior Reporting Analyst
United Health Group
11.2015 - 01.2017
System Engineer
TCS
06.2012 - 11.2015
Advanced Management Programme - Business Analytics
ISB
Bachelor of Technology - Engineering
Koneru Lakshmaiah College of Engineering