Shyam Sunder
Data Science Enthusiast | Research Published | Open to Opportunities
Data Science Enthusiast | Research Published | Open to Opportunities
Distinguished Data Science researcher and B.Tech candidate with demonstrated expertise in advanced machine learning optimization and published academic research. Co-authored peer-reviewed research on CNN hyperparameter optimization using novel Bayesian methods, achieving significant improvements in medical diagnostic accuracy. Proven track record of translating complex theoretical concepts into practical, high-impact solutions across healthcare AI, predictive analytics, and full-stack development.
Alliance University, Bangalore | Expected May 2027
CGPA: 8.2/10
Green Valley Metric-Hr-Sec School, TN | 2023
Aggregate: 86%
Contributed to a Q1 journal publication by developing and validating novel Bayesian optimization methods for CNNs, significantly improving cancer diagnosis accuracy. Responsible for manuscript preparation and statistical validation.
"His work on the validation framework was pivotal to our findings." - Dr. Evelyn Reed, Principal Investigator
Engineered a full-stack AI content generation platform serving over 500 users. Integrated advanced NLP models and managed the end-to-end deployment pipeline.
Implemented and fine-tuned multiple deep learning architectures including DenseNet and MobileNetV2 for various computer vision tasks, achieving state-of-the-art performance on benchmark datasets.
Developed and deployed ARIMA-based models for financial and operational forecasting, improving prediction accuracy by over 15% compared to previous benchmarks.
Led a team to organize health education campaigns in rural areas, reaching over 2,000 individuals. Developed and distributed informational materials on preventive healthcare, contributing to a measurable increase in community health awareness.