
Uppu Chaithanya Nani
@uppuchaithanyanani
I build deployable machine learning systems for healthcare, analytics, and predictive modeling.
What I'm looking for
I've built machine learning systems for fraud detection, pediatric epilepsy classification, customer segmentation, and skin disease detection using Python, Scikit-learn, TensorFlow, and Keras.
During my AICTE–EduSkills Data Science internship supported by Altair, I compared fraud-detection models and addressed class imbalance with SMOTE, class weighting, PCA, and feature scaling. I'm seeking a Data Science or Machine Learning role where I can apply end-to-end analytical and deployment skills to real-world problems.
Experience
Work history, roles, and key accomplishments
Data Science Intern
AICTE–EduSkills
Jul 2025 - Sep 2025 (2 months)
Built a credit card fraud detection system, comparing Logistic Regression, K-Means Clustering, and Neural Network models. Applied SMOTE oversampling and balanced class-weighting to handle class imbalance and reduce false negatives.
Education
Degrees, certifications, and relevant coursework
Mohan Babu University
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: 8.34 CGPA
Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on Data Science, Machine Learning, and Deep Learning. Achieved a CGPA of 8.34.
Availability
Location
Authorized to work in
Portfolio
github.com/chaithanyananiSalary expectations
Job categories
Skills
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