Featured Member: Grace Babalola on HBCU CONNECT!

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Q&A With Grace Babalola

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Grace Babalola
Applied/Data Scientist, Otis Elevator Co.
Location: Farmington, CT United States
Joined: Mar 17th, 2025

About (request update)

Education (request update)

Binghamton University class of 2025

Undergrad Major: Industrial Engineering

Experience

I currently work with Otis Elevator Co. as Applied/Data Scientist
I have 8 years of experience working in the Manufacturing and Production industry.

Applied & Data Scientist | Otis Elevator Co.
From July 2025 to Current • 1 year(s)
Data Quality Automation and Service Delivery Insight Engineering, developing AI agents and machine learning models

Applied & Data Scientist | Otis Elevator Co.
From July 2025 to Current • 1 year(s)
Data Quality Automation and Service Delivery Insight Engineering. Explore and evaluate Google Cloud and Azure Databricks AI agent capabilities, including Mosaic AI and Agent Development Kit. Design and execute data-driven experiments to evaluate and optimize service delivery strategies. Develop advanced analytics and machine learning models to uncover insights into service performance, supporting executive-level strategic decisions.

Applied & Data Scientist | Otis Elevator Co.
From July 2025 to Current • 1 year(s)
Data Quality Automation and Service Delivery Insight Engineering. Explore and evaluate Google Cloud and Azure Databricks AI agent capabilities. Design and execute data-driven experiments to evaluate service delivery strategies. Develop advanced analytics and machine learning models for service performance insights.

Applied Data Researcher | Binghamton University
From January 2022 to May 2025 • 3 year(s)
Developed AI/ML web applications for healthcare, led user research and experimental prototyping

Applied Data Researcher | Binghamton University
From January 2022 to May 2025 • 3 year(s)
AI/ML Application & Implementation to Process Improvement. Developed a web application powered by AI/ML to enhance real-time decision-making for nurses. Led comprehensive user research through interviews, focus groups, and surveys with bedside nurses across 8 U.S. states. Executed iterative experimentation, prototyping and usability testing. Integrated machine learning models and predictive analytics to optimize data synthesis processes.

Applied Data Researcher | Binghamton University
From January 2022 to May 2025 • 3 year(s)
AI/ML Application & Implementation to Process Improvement. Developed web application powered by AI/ML to enhance real-time decision-making for nurses. Led comprehensive user research through interviews and focus groups with bedside nurses across 8 U.S. states.

Data & Applied Scientist | Microsoft Corporation
From June 2024 to August 2024 • 0 year(s)
Designed LLM-powered knowledge base chatbot using Azure OpenAI, boosted performance by 30%

Data & Applied Scientist | Microsoft Corporation
From June 2024 to August 2024 • 0 year(s)
LLM-Powered Knowledge Base Chatbot development. Designed and developed an LLM-powered knowledge base chatbot using Azure OpenAI, NLP, ML, cloud computing, and RAG to enhance employee productivity. Boosted chatbot performance by 30% by expanding knowledge base and integrating Microsoft Teams knowledge repository. Implemented automation of data ingestion, processing, and integration with the chatbot platform.

Data & Applied Scientist | Microsoft Corporation
From May 2023 to August 2024 • 1 year(s)
LLM-Powered Knowledge Base Chatbot development. Designed and developed LLM-powered chatbot using Azure OpenAI, NLP, ML, and RAG. Boosted chatbot performance by 30% and implemented automation of data ingestion and processing.

Research & Data Scientist | Amazon.com Services
From May 2022 to October 2023 • 1 year(s)
Developed LLM-powered chatbot for metrics demystification, built ML systems and NLP pipelines

Data & Applied Scientist | Microsoft Corporation
From May 2023 to July 2023 • 0 year(s)
Phishing Web Logins Ground Truth Data Automation. Created heuristic algorithms leveraging ML/AI, statistics, and data science to automate the identification of clean web login pages used for training and evaluating ML models, increasing the team's existing ML model performance.

Data Scientist | Excellus Blue Cross Blue Shield
From June 2021 to December 2021 • 0 year(s)
Developed data collection framework, built R Shiny WebApp, created chronic condition propensity model

Product Data Analyst | Access Bank PLC
From April 2017 to August 2017 • 0 year(s)
Directed cross-functional team, launched new product lines, improved branch profitability by 15%

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