@saigopalakrishnakonj
Machine learning intern at IBM (Edunet Foundation) who evaluated classification models and built a census income predictor with 92.77% accuracy.
IndiaAt IBM (Edunet Foundation), I developed and compared machine learning models for classification and predictive analysis. I prepared real-world datasets and evaluated model performance with metrics including accuracy, precision, recall, and F1-score.
On my Census Income Analysis project, I built a binary classifier that predicted income above $50K, achieving 92.77% accuracy and a 93.08% F1-score. I also developed a full-stack e-commerce application and a text-to-speech system.
Work history, roles, and key accomplishments
IBM (Edunet Foundation)
Jun 2024 - Jul 2024 (1 month)
Developed and optimized machine learning models using Python, Pandas, NumPy, and Scikit-learn on real-world datasets for classification and predictive analysis. Performed data preprocessing, feature engineering, and evaluated models using accuracy, precision, recall, F1-score, and confusion matrix.
Degrees, certifications, and relevant coursework
Bachelor's Degree
2022 -
Grade: 7.78/10.0
Pursuing a Bachelor's degree at SRM University A.P with a current CGPA of 7.78/10.0.
Class 12th Intermediate
Grade: 9.33/10.0
Completed Class 12th Intermediate from the Board of A.P with a score of 9.33/10.0.
Fundamentals of AWS, Cloud Computing
Completed the Fundamentals of AWS certification from Coursera.
Foundations of Cybersecurity, Cybersecurity
Completed the Foundations of Cybersecurity certification from Google.
Full Stack Development, Full Stack Development
Completed the Full Stack Development certification from Navodita.
Software and tools used professionally
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