Arjun Karnani 
Driven by curiosity and innovation in Machine Learning, Data Science, and Computer Vision—building solutions that bridge ideas and impact.
Let's Connect
Work in Progress
About Me
- Hi, I’m Arjun Karnani, a junior at the University of Houston majoring in Computer Science.
- I’m particularly interested in Machine Learning, Data Science, and Computer Vision.
- I enjoy working on projects that solve real-world problems.
- I love exploring new technologies, brainstorming creative solutions, and collaborating with others to bring ideas to life.
- When I’m not coding, I’m diving into financial markets or am at the gym.
- Thanks for stopping by—let’s connect!
Experiences
University of Houston
ERAS Research Fellow
Work Experience
Developed high-accuracy linear regression and boosted tree models to forecast healthcare costs, achieving 90% accuracy. Using Python and data analysis tools, I identified key cost drivers and collaborated with healthcare professionals to ensure the models effectively supported resource optimization.
Languages & Frameworks
SACNAS Conference
Recieved a travel scholarship for the SACNAS NDiSTEM conference, where I connected with diverse STEM professionals and shared insights from my research on predictive healthcare cost modeling.
Headstarter
Software Engineering Fellow
Work Experience
As a Software Engineering Fellow at Headstarter, I developed a sentiment analysis model that achieved 85% accuracy in classifying social media feedback. My work included implementing natural language processing techniques such as tokenization, lemmatization, and stop-word removal to enhance data quality. I also applied feature extraction methods like TF-IDF and word embeddings to improve the model’s accuracy, turning raw social media data into actionable insights for tracking customer sentiment. Developed a machine learning platform to identify high-risk investments by analyzing real-time financial news data.
Languages & Frameworks
Jupyter Notebook
iChain Consulting LLC
Intern
Work Experience
At iChain Consulting, I utilized SQL to analyze and optimize supply chain databases, improving operational workflows. I conducted data analysis using Python and R, creating impactful client visualizations in Tableau and Power BI. My insights helped identify three major delivery bottlenecks, leading to improved efficiency and decision-making. I also presented data-driven recommendations in strategic meetings, assisting clients in overcoming critical supply chain challenges.
Languages & Frameworks
Academic Projects
Library Database Web App
A website that helps libraries manage books, users, and borrowing records easily.
Diabetes Type II Research
A study using data and machine learning to predict future healthcare costs for Type II diabetes patients, helping improve financial planning and patient care.
ASL Interpretter Web App
A web tool that translates American Sign Language into text for better communication.
CoogQuest Mobile App
A mobile app that engages students with campus activities through fun challenges and rewards.
Portfolio
A personal website showcasing my work, projects, and experiences in an interactive way.
