Hello, I'm
Stuti
Bimali๐ณ๐ต
Data Scientist ยท AI Engineer ยท ML Engineer
What I do
I build
intelligent
experiences.
Turning raw data into decisions, models into products, and complexity into clarity.
My mission
Bridging
science
& impact.
From IEEE publications to real-world ML deployments โ I make data mean something.
Who I am
About Me
I'm Stuti Bimali - a Data Scientist and AI Engineer who turns messy, complex data into decisions that actually matter. Currently pursuing my Master's in Data Science at the University of New Haven, I bring a strong foundation in Computer Science and Engineering paired with hands-on experience building real-world AI systems.
My work sits at the intersection of Machine Learning, LLMs, and intelligent automation - from building Voice AI agents to publishing IEEE research on CNN-based fire detection. I don't just build models; I build solutions that scale, deploy, and create impact.
I'm particularly passionate about healthcare AI, where data-driven intelligence can save lives. Whether it's designing RAG pipelines, fine-tuning language models, or optimizing ETL workflows, I chase problems that are hard and outcomes that are meaningful.

Where I've worked
Industry Experience

AI Trusted Advisor
Part-TimeAI Engineer Intern (AI Intern)
- โDesigned and built a Voice AI Agent prototype for auto repair appointment booking โ handling intent capture, slot-filling, confirmations, and edge case fallbacks end-to-end.
- โEngineered conversational state management and prompt structures adaptable for real-world client deployments across multiple industries.
- โContributing to Answer Engine Optimization (AEO) and SEO strategy to improve content discoverability across traditional search and AI-driven platforms.
- โCollaborating cross-functionally with lead developers and company leadership to align Voice AI prototypes with broader platform roadmap and client deployment goals.

iAssist Innovations Labs
Full-TimeAI/ML Engineer (AI Scientist)
- โBuilt an automated hospital bill analysis system using ML models and Python/SQL, processing 1000+ insurance claims monthly, and increased efficiency by 25%.
- โDrove the initiative from a manual to an automated workflow based on demonstrated performance improvements.
- โProvided daily production support and on-call monitoring for the live claim processing system, resolving critical data extraction failures within 5 minutes to maintain 99%+ system uptime and ensure zero claim processing delays.
- โFixed 50+ production bugs through real-time error analysis and continuous script optimization, reducing manual QA intervention from 95% to 30% of claims.
- โTrained new team members on production workflows, cutting onboarding time from 3 weeks to 1 week and support tickets by 35%.

Britist Airways - Forage
Internship - 2 Months InternshipData Scientist
- โCompleted a virtual internship focused on customer analytics and predictive modeling.
- โScraped and analyzed Skytrax customer reviews to generate insights on passenger sentiment and service quality.
- โDeveloped a machine learning model to predict customer booking behavior, supporting proactive and data-driven decision-making.

KPMG - Forage
Internship - 1 Month InternshipData Analyst
- โCompleted a virtual internship focused on data quality and business reporting.
- โPerformed data cleaning, removing duplicates, correcting errors, and standardizing formats to ensure accuracy and consistency.
- โCommunicated insights through professional email reports and created interactive dashboards using Tableau for effective data visualization and decision-making support.

Cognizant
InternshipProgramming Analyst Intern
- โEngaged in an intensive five-month training program focused on the acquisition of comprehensive full-stack development competencies.
- โThe program provided practical experience with Java, Python, SQL, React, and REST APIs, substantiated through project-based learning and periodic evaluations.
- โDuring the training, I contributed to the development of end-to-end web applications, implementing MVC architecture, designing databases, and integrating front-end and back-end components, in accordance with industry best practices and maintaining code quality.

The Sparks Foundation
Graduate Rotational Internship ProgramData Scientist and Mobile Web Development Intern
- โPerformed exploratory data analysis on real-world datasets using Python and Pandas.
- โBuilt supervised ML models (decision trees, regression) achieving 87% accuracy.
- โDelivered visual insights using Matplotlib and Seaborn to stakeholders.
- โUsing Android and Web Development skills visualized the analysis on Mobile and Web

Verzeo - SmartKnower
Internship on Data ScienceData Scientist Intern
- โAnalyzed structured and unstructured data to extract actionable insights.
- โDeveloped and evaluated predictive models using scikit-learn.
- โCollaborated on data preprocessing pipelines reducing noise by 30%.
My academic journey
Academics

Tagliatela College of Engineering - University of New Haven
Master of Science in Data Science
Focusing on Data Science, ML, AI, and advanced analytics methodologies.

New Horizon College of Engineering - Visvesvaraya Technological University affiliated
Bachelor of Engineering - Computer Science and Engineering
Graduated with distinction (9.13/10). Final year project on CNN-based fire detection.

GoldenGate International Secondary School
Grade 11 and 12 - Biology Science and Additional Mathematics
Passed with distinction (3.03/4).

GEMS Higher Secondary School
Grade 1 to 10 - Computer Science and Additional Mathematics
Passed with distinction (3.7/4).
My knowledge base
Concepts
Technical proficiency
Skills
Languages
ML & AI
Data
Cloud & DevOps
Other
What I've built
Projects
Credentials
Certifications
Hugging Face
2 certsAnthropic
1 certIntroduction to Model Context Protocol
February 2026
DataCamp
7 certsData Visualization in Power BI
February 2026
Data Modeling in Power BI
February 2026
Data Preparation in Power BI
February 2026
Introduction to Power BI
February 2026
Data Scientist Associate
January 2026
Understanding Cloud Computing
January 2026
Understanding Microsoft Azure Architecture and Services
January 2026
LinkedIn Learning
21 certsLearning AI for Business Analysis
January 2026
Mastering Model Context Protocol (MCP)
January 2026
Graph Databases: Neo4j for Complex Data Relationships
March 20, 2025
AI Agents for Product Leaders
October 8, 2025
Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)
September 20, 2025
Generative AI for Business Leaders
September 20, 2025
Azure Spark Databricks Essential Training
April 17, 2025
Learning NGINX (2018)
April 16, 2025
Flask Essential Training (2019)
April 16, 2025
MLOps Essentials: Model Deployment and Monitoring
April 15, 2025
MLOps Essentials: Model Development and Integration
April 15, 2025
Data Science Methodologies: Making Business Sense
April 10, 2025
DevOps for Data Scientists
April 10, 2025
Apache Spark Essential Training: Big Data Engineering (2021)
April 3, 2025
Amazon Web Services: Data Services
April 3, 2025
Python for Data Science Tips, Tricks, & Techniques
March 26, 2025
Apache Kafka Essential Training: Getting Started (2021)
March 26, 2025
Cloud NoSQL for SQL Professionals
February 16, 2025
HTML Essential Training
January 31, 2025
Python: Working with REST and Web Data
January 30, 2025
Data Science Foundations: Data Engineering
January 27, 2025
Great Learning Academy
1 certIntroduction to R
July 2024
Cognitive Class
1 certIBM Machine Learning - Dimensionality Reduction
June 2022
SkillUp
1 certData Science with Python
December 2021
Coursera
5 certsData Science Math Skills (Duke University)
August 2020
Operating Systems and You: Becoming a Power User (Google)
August 2020
The Bits and Bytes of Computer Networking (Google)
May 2020
Technical Support Fundamentals (Google)
April 2020
Object-Oriented Programming with Java (Rhyme)
April 2020
Beyond the classroom
Webinars ยท Workshops ยท Seminars ยท Quizzes
webinars
"AI Solution for Enterprises and Containerising Applications using E4S"
ANNA University ยท August 14, 2020
"OpenPOWER Big Data AI"
University of Wisconsin Platteville ยท June 19, 2020
workshops
"Introduction to Computer Algorithms"
SGP Global IT Academy Pvt Ltd ยท April 24, 2020
"UNIX and Shell Programming"
PraLoTech Solutions LLP ยท November 3, 2019
seminars
"NewSpace - An Era of Small Satellites: Opportunities and Challenges"
Indian Technology Congress Association & UNISEC India ยท April 11, 2019
quizzes
"Object Oriented Programming in Java"
Dept. of CSE, Shaikh College of Engineering & Technology Belagavi
"Online Quiz on C Programming"
Dept. of CSE, Vemana Institute of Technology, Bengaluru ยท Jul 14, 2020
"ARM7 Microcontroller & its Instruction Set"
Dept. of CSE, TOCE
Research
Publication
Comparative study of different methods for fire detection using Convolutional Neural Network (CNN)
Authors: Stuti Bimali, Dr. Rachana P., Dr. B. Rajalakshmi, Tushar Bhat, Sukhmanjeet Kaur
Conference: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
Date: 20-22 January 2022
Location: Tirunelveli, India

Resume
Get in touch
Contact
Address
West Haven, CT 06516, United States
ยฉ Stuti Bimali. Data Scientist ยท AI Engineer ยท ML Engineer