Learn more about me
A dynamic and driven graduate of M.S. Computer Technology from Eastern Illinois University with 2+ years of working proficiency. Experienced in cutting‐ edge technologies including Python, Angular, React, Machine Learning, and Cloud Computing. Demonstrated expertise in data analytics, processing over 10 GB of data at KPMG and achieving 88% predictive model accuracy at Quantium through advanced techniques like feature engineering. Collaborated cross‐functionally to deliver a skin disease classification model with 92% accuracy using deep learning. Published 1 IEEE conference paper and 2 arXiv review. Recognized strengths include problem‐solving, time management, and a commitment to excellence evidenced by personal projects impacting over 1,000 users and reducing manual efforts by up to 40%.
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A results-driven and innovative M.S. graduate in Computer Technology from Eastern Illinois University with a strong focus on software development. Proficient in programming languages such as Python, C++, Java, and JavaScript, I bring over two years of professional experience, including internships and my current role as a Software Development Engineer at Healthcare Triangle. I have successfully contributed to designing, developing, and deploying robust software applications, improving system performance and user engagement by up to 30% and 25%, respectively. My expertise spans front-end and back-end development using frameworks like React, Angular, and cloud platforms such as AWS, GCP, and Azure. With a passion for problem-solving and delivering high-quality software solutions, I leverage my diverse technical background to enhance application functionality. I thrive in collaborative environments and am committed to continuous learning and innovation in software engineering.
Eastern Illinois University, Charleston, IL
CGPA - 4/4
Sathyabama Institute of Science and Technology, Chennai, India
Graduated with Distinction - 8.74/10
CREDO SYSTEMZ
Coursera
Google Cloud Training Online
University of Alberta
University of Michigan
International Business Machines
International Business Machines
International Business Machines
Google Cloud Training Online
The Johns Hopkins University
Coursera
Coursera
UC Irvine
SAS
University of Alberta
University of Alberta
Healthcare Triangle, Inc
Dell Technologies, India
KPMG, India
Deloitte, India
Sparks Foundation, India
IEEE
arXiv
arXiv
My Projects
Incorporated multiple APIs, including Open-Meteo and Nominatim, to retrieve real-time weather data and location-based information. Implemented responsive design using React and React Bootstrap to ensure optimal performance on various devices, enhancing user experience. Integrated data visualization libraries like Chart.js and React-Leaflet to display weather trends and interactive maps in an intuitive and visually appealing manner.
Conducted user research and analyzed data from over 500 participants to identify pain points and opportunities for improvement in the university's digital ecosystem. Developed UI/UX wireframes and prototypes using Adobe XD, incorporating best practices in user‑centered design. Presented re‑design proposals to stakeholders, resulting in the implementation of three major feature enhancements, improving user satisfaction by 25%.
Created a deep learning model with TensorFlow to classify four types of skin diseases, leveraging transfer learning (Inception v3) to achieve an accuracy of 92%. Preprocessed and engineered features from medical image data, employing techniques like data augmentation and normalization, increasing the training dataset size by 40%. Collaborated with a cross‑functional team, including bioinformatics and computational biology experts, to ensure clinical relevance and model interpretability.
Developed a script in R to fetch historical stock market data from financial APIs like Alpha Vantage and Yahoo Finance, automating the data collection process. Processed and cleaned the raw data, handling over 10 million data points and removing inconsistencies and missing values, improving data quality by 30%. Utilized time series analysis techniques and statistical methods in R to identify patterns and trends in stock prices, accurately predicting price movements with 85% accuracy. Implemented data visualization using ggplot2, creating insightful charts and graphs showcasing stock price movements, trading volume, and volatility. Conducted sentiment analysis on over 5,000 financial news articles using R packages like tidytext, quantifying the overall sentiment and its impact on stock prices.
Incorporated Firebase for secure authentication and data storage, implementing responsive design for optimal performance on all devices. Developed an intuitive logistics management system using Angular 12, reducing manual data entry efforts by 40%.
Analyzed data from various resources over the web and derived an optimized solution by collaborating in integrating the Twilio WhatsApp API. Deployed the website with a minimal approach for the user, resulting in a 25% increase in user engagement.
Contact Me
USA
jakkamithilsai@gmail.com
+1 (559) 709-8752