Sai Charan
Data Scientist @Omdena
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WORK HISTORY
Data Scientist @Omdena
Collaborated with a global team of 125 researchers analyzing over 100 datasets from the NHANES dataset to identify risk factors for chronic diseases within the San Jose population.• Contributed to the cleaning and preprocessing of complex, real-world data, handling missing values, identifying outliers, and transforming data for model training.• Developed and evaluated machine learning models, including Logistic Regression, Random Forest, and Support Vector Machines, to predict the likelihood of developing chronic diseases, achieving an accuracy of 82%.
EDUCATION
University of North Texas
Master of Science - MS, Advanced Data Analytics
Jawaharlal Nehru Technological University
Bachelor of Technology - BTech, Information Technology
ABOUT SAI CHARAN
Data Scientist with specialization in Machine learning, Statistical and predictive analytics, and Data Visualization. Areas of Interest: Machine Learning, Data Analysis, Predictive Analytics, Cloud Data Engineering, Database Modeling, Algorithm building. Technical skills: • Programming Languages: Python, Java, SAS, SQL, C, Microsoft Excel. • Database/Cloud: MySQL(certified through HackerRank), AWS, Azure. • Data Analytics/Visualization: Python, R, SPSS, Excel, Tableau, PowerBI, Matplotlib, Seaborn. • Machine Learning Algorithms: Linear and Logistic Regression, Support Vector Machine, Naive Bayes, Boosting, Random Forest, Deep Learning, Convolutional Neural Network, NumPy, Pandas, Scikit-learn, TensorFlow, Keras. Frameworks: Django, ReactJS, Flask
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