Information Technology Machine Learning

Tejaswi Pradyumna Kartik Gadgil

* Franklin, Tennessee 848-***-**** # ******.*****@*****.*** ï linkedin.com/in/pradyumna-gadgil Education

Lindsey Wilson College May 2026

Master of Science, Computer/Information Technology Services Administration and Management Columbia, KY Swami Vivekananda Institute Of Technology September 2022 Bachelor of Technology, Information Technology Hyderabad, Telangana, India Technical Skills

• Languages & Frameworks: Python, R, SQL, Java, JavaScript, PHP, HTML, CSS

• Platforms & Tools:: AWS, Git, Linux, Windows

• Database: MySQL, MongoDB, DynamoDB

• Machine Learning: Sci-kit Learn, NumPy, Pandas, PyTorch Experience

ShortCode Technologies Nov 2022 - Apr 2023

Front End Developer Intern Hyderabad, Telangana, India

• Developed and implemented user interfaces using HTML, CSS, and JavaScript, enhancing user engagement by 30% through improved site navigation and aesthetics.

• Translated design mock-ups into responsive and interactive web pages, achieving a mobile responsiveness score of over 90%.

Projects

Advanced Spam Mail Detection Apr 2024

• Created a machine learning tool using Random Forest regression to accurately classify emails as spam or not, achieving a 95% detection rate and reducing false positives by 25%. This enhanced the email filtering system for a local organization, leading to increased productivity and user satisfaction. Life Expectancy Prediction Model Feb 2024

• Developed a predictive model utilizing demographic and health-related data to estimate life expectancy with an accuracy of 85%. The project involved data collection, feature engineering, and implementing machine learning algorithms, resulting in insights that can inform public health strategies. E-commerce Product Recommendation System Nov 2023

• Designed and implemented a product recommendation engine using collaborative filtering and user behavior data to personalize product suggestions for customers. Increased click-through rates by 20% and boosted average order value by 12%.

• Utilized Python, Pandas, and NumPy for data preprocessing and Scikit-learn for building the recommendation model, deployed via a web interface using Flask.

Data Pipeline for Sales Data Analysis Oct 2023

• Developed a data pipeline to automate the extraction, transformation, and loading (ETL) of sales data from multiple sources into a central database, improving data accessibility and analysis.

• Used Python and SQL to clean and aggregate data, reducing manual data handling by 50%. This allowed the team to generate sales reports faster and make data-driven decisions more efficiently. Community Involvement

• Coding club member, Contributed to open-source projects and participated in coding challenges, enhancing collaborative problem-solving skills (2020-2022).

• Volunteer, Organized tech workshops for junior students and helped mentor peers in basic web development skills

(2021-2022).

• Took part in a 24-hour hackathon, contributing to a project that focused on transportation solutions(2019).

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