Hi, I’m Khushi
Data Scientist | Machine Learning | Healthcare Analytics
I build data-driven solutions using Python, SQL and machine learning with a focus on healthcare analytics, predictive modeling and real-world impact.
About Me
- I’m a Master of Science in Data Science student at Boston University with experience applying data science, machine learning, and analytics to solve real-world problems across healthcare, public policy, and AI-powered systems.
- My interests lie in machine learning, predictive analytics, and generative AI, with a particular focus on building data-driven solutions that support decision-making and create measurable impact. I enjoy working across the entire data lifecycle, from data collection, cleaning, and feature engineering to model development, evaluation, and visualization
- Through projects and industry experience, I’ve built predictive models using healthcare data, developed geospatial analytics platforms for public-sector organizations, and designed AI-powered workflows that automate complex processes. Most recently, I have been working on AI systems that transform raw interview footage into documentary-ready content using speech recognition, large language models, and cloud-native ML infrastructure.
- I’m particularly interested in turning large, complex datasets into actionable insights and building tools that are both technically robust and practical for end users. My experience includes Python, SQL, machine learning, data visualization, cloud technologies, and scalable data processing workflows.
- Currently, I’m expanding my expertise in data engineering, MLOps, and cloud-based machine learning using technologies such as BigQuery, Kubeflow, Docker, and OpenShift AI.
- I enjoy collaborative, fast-paced environments where I can learn from others, contribute to impactful projects, and continuously grow as a data scientist. I’m actively seeking opportunities in Data Science, Machine Learning, and Analytics where I can apply data to solve meaningful business and societal challenges.
Technical Skills
Languages
Python, SQL, R
Data Analysis & Visualization
Power BI, Tableau, Excel (advanced formulas, pivot tables)
Machine Learning & AI
Machine Learning, Deep Learning, Natural Language Processing, TensorFlow, PyTorch
Data & Cloud Platforms
BigQuery, Google Cloud Platform (GCP), Azure
Version Control & Collaboration
Git, GitHub
Featured Projects
NYC Subway Demand Forecasting & Resource Optimization
Customer Revenue & Churn Analytics for E-commerce
Drug-Associated AKI Risk Prediction
FoodShed Boston (Food Equity Mapping)
Massachusetts Gateway Cities Dashboard
US Military Base Slot Machine Revenue Explorer
Multimodal Emotion Recognition System
Experience
Red Hat (Software Engineering Intern) : May’ 26 – Present
- Built an 11-stage AI-powered production pipeline using Python, Kubeflow Pipelines, and OpenShift AI that transforms raw interview footage into documentary-ready content, reducing production time by 85%.
- Developed a multimodal workflow integrating speech recognition, LLMs, text-to-speech, and generative AI to automate transcription, content analysis, and narration generation for large archival collections.
- Productionized AI workflows by implementing modular pipeline components, automated error handling, and cloud-native deployment practices, enabling reliable and scalable execution on OpenShift AI.
- Collaborated with researchers and AI engineers to design and deploy open-source AI solutions for oral-history preservation and documentary production workflows.
ARCON Techsolutions Private Limited (Automation Testing Intern) : Dec’ 24 – Apr’ 25
- Developed Java-based automation scripts that reduced manual testing effort by 40%
- Built automated test suites and execution pipelines to streamline regression testing
- Used Allure reporting to quickly separate script issues from real product defects, improving bug resolution by 25%
- Collaborated with developers and QA teams using Jira for efficient issue tracking
Ameya Infovision Private Limited (Web Development Intern)
- Built a cross-platform mobile shopping app using Ionic Framework + Angular
- Implemented product browsing, cart management, and user login functionality
- Designed responsive UI components for a smooth and modern shopping experience
- Integrated dynamic data updates to ensure real-time interaction and checkout flow
d-insights Private Limited (Project Intern)
- Built an automated workflow to replace repetitive manual tasks using UiPath
- Integrated data extraction and validation to improve process accuracy
- Enabled hands-off execution for faster task completion and reduced human effort
- Designed automation logic that is scalable and reusable across similar business operations
Contact Me
gmail: teli.khushi@gmail.com