SHERINE GEORGE
Data Scientist
Pittsburgh
Summary
Data Scientist with 3 years of experience in the banking domain, holding a Master’s in Business Analytics from Carnegie Mellon University. Passionate about leveraging AI and machine learning to deliver impactful solutions.
Overview
6
6
years of professional experience
2025
2025
years of post-secondary education
Work History
Senior Associate Data Scientist
BNY
07.2024 - Current
- Developed and deployed a Large Language Model (LLM)-based taxonomy classification solution, automating data attribute mapping and enhancing accuracy for content onboarding.
- Designed and implemented a two-step and one-step LLM-driven classification pipeline, leveraging generated descriptions and advanced noise chunking strategies to improve model precision.
- Fine-tuned LLMs and experimented with embedding models to enhance retrieval accuracy and align with business needs.
- Integrated NVIDIA's reranker to optimize classification outputs and improve semantic search performance in large-scale datasets.
- Engineered scalable AI workflows by implementing asynchronous processing, batch techniques, and cloud-based deployment for high-performance pipelines.
- Built a hybrid search pipeline combining LLM-powered semantic and keyword search, enhancing document retrieval capabilities.
- Conducted advanced analytics on LLM misclassifications to refine ground truth datasets and improve model robustness.
- Authored technical documentation and led efforts to scale Eliza (in house BNY AI solution) Cloud infrastructure for broader AI use cases.
Software Engineer - Data Science
Société Générale
11.2020 - 07.2023
- Automated Transaction Discrepancy Reduction: Cut 3 months of manual work by using a Decision Tree Classification model to automate breaks identification between accounting and inventory data
- US Branch Regulatory Reporting Automation: Saved 1 month of labor and improved accuracy by automating regulatory instruction translation with a Python script
- Market Referential Alert Identification: Boosted automation by 50% and improved data quality using statistical concepts to automate manual market referential alert identification
- Company-Wide Datathon Success: Secured 2nd place in a company-wide Datathon with 80% accuracy in user segmentation and target region identification using Python and Power BI
- ESG Reporting Automation: Reduced manual efforts by 70% with an innovative solution to extract and preprocess data from PDF files, earning a special mention award
- ML Workflow Integration: Integrated a data transformation tool with an ML modeling platform, saving an estimated $1 million through workflow automation
- PAN Indian Herrising Award (Women Starters Category): Recognized for exceptional talent and Young Turk Award 2021 for outstanding performance and contributions in data science
IT Informatics Intern
LabCorp
01.2020 - 07.2020
- Developed a Java-based test automation framework using Maven, TestNG, Rest Assured, Extent Report, and Cucumber
- Achieved a 40% reduction in testing time, expanded test coverage by 30%, and streamlined software updates and quality control
- Published dissertation on this automated API testing framework in IRJET
Summer Intern
Visa Inc
05.2019 - 07.2019
- Worked on a tool called ORMB (Oracle Revenue Management and Billing) used by Visa for billing and pricing
- Contributed in developing a test automation solution to use this tool and saved 2 months of manual efforts annually
Education
Master of Science - Business Analytics
CARNEGIE MELLON UNIVERSITY - TEPPER SCHOOL OF BUSINESS
Pittsburgh, PAPost Graduate Diploma - Data Science
INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY (IIIT)
Bachelors - Computer Science Engineering
RV COLLEGE OF ENGINEERING
Skills
- Large Language Models
- RAG
- Python for Data Science
- EDA
- Data Visualization
- Inferential Statistics
- Hypothesis Testing
- Machine Learning - Linear Regression
- Logistic Regression
- Decision tree
- Unsupervised Learning
- Bagging
- Boosting
- Model Selection
- Principal Component Analysis
- Advanced Regression
- Deep Learning
- Time Series Analysis/Forecasting
- Neural Networks & ANN
- Convolutional Neural Networks
- Recurrent Neural Networks
- R
- Python (Pandas, Numpy, ScikitLearn, Keras, Statsmodels, OpenCV, PyTorch, NLTK, TensorFlow, LangChain, OpenAI, FAISS)
- Relational SQL and NoSQL Databases
- Net Full Stack
- JavaScript
- Java
- Jira
- Data visualization tools (Tableau, PowerBI, Matplotlib, Seaborn, Plotly, Streamlit)
- SQL
- Version control systems (Git)
- Data mining software (RapidMiner)
- Data warehousing
- Data extraction tools
- ETL (SSRS, SSIS, Informatica)
- Excel
- Oral and Written Communication
- Leadership
- Listening
- Teamwork
- Conflict Resolution
Timeline
Senior Associate Data Scientist
BNY
07.2024 - Current
Software Engineer - Data Science
Société Générale
11.2020 - 07.2023
IT Informatics Intern
LabCorp
01.2020 - 07.2020
Summer Intern
Visa Inc
05.2019 - 07.2019
Post Graduate Diploma - Data Science
INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY (IIIT)
Bachelors - Computer Science Engineering
RV COLLEGE OF ENGINEERING
Master of Science - Business Analytics
CARNEGIE MELLON UNIVERSITY - TEPPER SCHOOL OF BUSINESS
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