Venkata Hema Abhinav Aaduru

Dynamic and analytical USF graduate student with a robust foundation in Business Analytics and Information Systems, complemented by hands-on experience in data mining and administrative management. Proficient in leveraging advanced data analysis techniques and tools like Python, SQL, and Tableau for insightful decision-making. Brings a track record of success in project coordination, team collaboration, and event organization from a tenure at Tata Consultancy Services and a significant role in a high-revenue family business. Exceptional communication skills and a commitment to fostering community and professional development in academic settings.

Machine Learning for Heart Disease Detection:(  08/2023 - 12/2023)

 Implemented machine learning algorithms to predict heart disease, using CDC's BRFSS data. Focused on accuracy, precision, recall, F1-score, and ROC-AUC for model evaluation., Logistic Regression excelled in accuracy, precision, recall, and F1-score (ROC-AUC: 0.79). Random Forest had the best recall (0.83), while SVM showed strong recall (0.78) and precision (0.82)., Analyzed various models with an emphasis on recall. Logistic Regression, Random Forest, and SVM emerged as top choices, balancing high recall with good precision, crucial for early heart disease detection and reducing false negatives.

Identification of Plant Diseases: (01/2022-06/2022) 

Prepared a Plant Leaf Disease Classification system, achieving 94.27% accuracy using CNN, ANN, ResNet50, and SVC models. Processed a diverse dataset of corn, potato, and tomato leaves, distinguishing between healthy and diseased states. Outperformed in CNN model efficiency with notable accuracy gains and loss reduction in training datasets. Conducted comparative analysis: CNN surpassed SVC, ANN, and ResNet50 (accuracy range 0.6-0.8).

 Insurance Management System: (10/2021- 12/2021)

Spearheaded the creation of a robust database schema for multiple insurance and policy types, resulting in improved data integrity and reduced redundancy. Developed detailed ER Diagram, data dictionary, and implemented advanced SQL queries and stored procedures for efficient data manipulation and reporting. Utilized the Faker library for synthetic data generation to facilitate testing and development processes.

Additional Information

Public Relations Team Member - Anokha Event, Amrita School of Engineering
Participated in 2019 & 2020

• Actively engaged in the public relations team for 'Anokha', the annual tech-fest of Amrita School of Engineering.
• Instrumental in raising funds of over ₹5 Lakhs (approx. $6,700) through various sponsorships and partnerships.
• Played a key role in organizing the event, which attracted over 3,000 attendees, including students, professionals, and academics from across the country.
• Developed and executed innovative marketing strategies that increased the event's reach by 30% compared to previous years.
• Coordinated with multiple teams to ensure smooth event logistics and fostered an environment of collaboration and team spirit.