Ujwal Madhavapeddi

Technical Contributor (Data & Cloud Projects)

About

I’m an analytically driven problem-solver with a background in engineering, mathematics, and data science, with around 2–3 years of experience working on data-related and technical projects. I’ve worked on building data-driven applications and workflows, including developing a pricing analytics dashboard using Python (Dash) and supporting cloud-based deployments using Azure. I also have experience in campaign operations and data workflows in an adtech environment, contributing to structured, data-informed decision-making. Currently, I’m contributing to a health-focused startup (Nightingale), where I’m gaining hands-on experience with cloud deployment and working toward more end-to-end ownership of technical solutions. My technical toolkit includes Python and SQL, and I’m actively strengthening my skills in structured data analysis, systems thinking, and applied AI. In parallel, I run a math tutoring business where I teach 8 students and help them build strong analytical foundations. I earned a perfect 170 (99th percentile) score in GRE Quantitative Reasoning, reflecting my strength in mathematical and logical reasoning. I have a strong personal interest in sports analytics—particularly tennis—where I independently analyze match outcomes using historical performance, head-to-head data, surface trends, and contextual factors. I’m currently seeking opportunities in data and analytics where I can apply structured problem-solving, contribute meaningful impact, and continue growing toward AI-focused work. Outside of work, I enjoy music and have experience playing viola and piano.

Country

United States

City

Dallas-Fort Worth Metroplex

Industry

Research

Skill

Cursor AI, Tableau, Python (Programming Language) , Statistical Analysis, Agile Methodologies, SAS (Programming Language), Python, Aerospace Engineering, Public Speaking, Research, Event Planning, Social Media, Machine Learning, Data Analysis, Mathematics, Physics, C++, C, SolidWorks, Matlab

Experience

Technical Contributor (Data & Cloud Projects)

Nightingale

2025-10 - Present · 1 yr

Contributed to deployment of applications using Azure, Vercel, and Render Assisted in backend development and integration of technical components Gaining hands-on experience with cloud infrastructure and system workflows

Data Analyst

Awarity

2026-1 - 2026-4 · 4 mos

Managed daily campaign operations using data-driven workflows Developed structured approaches to improve consistency and execution efficiency

Data Scientist

Dallas Data Science Academy

2023-12 - 2025-12 · 2 yrs 1 mo

Asha Foundation Startup - Grant Proposal LLM Project - Developed a Flask-based web application to streamline grant application processes. - Implemented a robust document processing pipeline using Python libraries like PyPDF2 and docx to extract key information from PDF and Word documents. - Integrated a powerful language model (Gemini) to generate comprehensive and persuasive grant applications. - Designed and implemented a user-friendly Retool interface for seamless interaction and customization of generated content Trivalley - Analyzed a bike store client dataset with the goal of predicting a customers' monthly spend and whether they would be buying a bike or not - Leveraged Tableau to create insightful dashboards which depicted relationships between different variables such as education and number of bike buyers - Generated a Light Gradient Boosting Machine regression model with an R-squared value of .9833 using pycaret to predict customers' monthly spend on test data - Generated a Logistic Regression classification model with an accuracy of .7846 using pycaret to predict the customers' choice of buying a bike VitalSynapses AI Labs - Implemented K-Nearest Neighbors algorithm using pycaret on inpatient claims data from cms.gov to identify anomalies - Leveraged Power BI to create insightful dashboards which depicted relationships between different variables such as time of a patient’s stay and claims payment amount - Removed 3339 anomalies from a total of 66773 rows - Built a lasso regression model with an R-squared value of .56 using imputation, scaling, and one-hot encoding to predict claims payment amounts

Developer

HCLTech

2021-1 - 2023-8 · 2 yrs 8 mos

Irving, TX

Contributed to cloud-based data projects for clients including American Financial Group, supporting scalability and data workflows Built a pricing analytics dashboard using Python (Plotly/Dash) to visualize supply-demand relationships and enable data-driven decision-making Deployed dashboard applications within an Azure environment, improving accessibility for business users Worked within Azure-based systems, utilizing services such as Key Vault to securely manage credentials and support application workflows Gained exposure to cloud deployment processes and data pipeline workflows in a production environment

Intern

Telaverge Communications

2020-6 - 2020-8 · 3 mos

Worked on a telemedicine platform called hCiketi which enables doctors to virtually communicate images and videos. I used Meteor.JS to create an image uploader to send DICOM images to an Orthanc DICOM server and to send and receive data between the UI and server.