Akhila Bollampally
Teaching Assistant Data Mining Knowledge Discovery in Databases (Kdd) @University of North Carolina at Charlotte
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WORK HISTORY
Teaching Assistant Data Mining Knowledge Discovery in Databases (Kdd) @University of North Carolina at Charlotte
Charlotte, NC, US
Assisted in teaching Data Mining, Knowledge Discovery in Databases (KDD), and Machine Learning concepts including data preprocessing, data cleaning, classification, clustering, association rule mining, and model evaluation. • Supported 50+ students with Python-based data analysis, exploratory data analysis (EDA), feature engineering, and machine learning workflows using Pandas, NumPy, and scikit-learn. • Graded assignments, projects, and exams, ensuring accurate assessment, timely feedback, and adherence to academic standards. • Helped students debug code, optimize data pipelines, and improve model performance using evaluation metrics such as accuracy, precision, recall, and F1-score. • Collaborated with the professor to maintain course quality, improve instructional materials, and enhance student learning outcomes.
EDUCATION
CVR College of Engineering, Hyderabad
Bachelor of Technology - BTech, Nothing
University of North Carolina at Charlotte
Master's degree, Computer Science (Data Science)
ABOUT AKHILA BOLLAMPALLY
I am a Master’s student in Computer Science with a concentration in Data Science, currently working as a Teaching Assistant at the University of North Carolina at Charlotte.Through my academic coursework and hands-on projects, I have developed strong experience in Python, SQL, machine learning, and data analytics. I enjoy working with data to identify patterns, build predictive models, and translate complex results into clear, meaningful insights.As a Teaching Assistant, I support students with analytical concepts, assignments, and problem-solving, which has strengthened both my technical foundation and communication skills.I am actively seeking full-time Data Scientist roles where I can apply my skills, continue learning, and contribute to data-driven decision-making.Skills: Python, SQL, Machine Learning, Data Analysis, Data Visualization, Tableau, Power BI, Statistics
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