Manasa Vuppu
Graduate Teaching Assistant for Business Intelligence and Machine Learning @University of North Carolina at Charlotte
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WORK HISTORY
Graduate Teaching Assistant for Business Intelligence and Machine Learning @University of North Carolina at Charlotte
Charlotte, NC, US
Delivered technical workshops for 100+ students on advanced ML techniques including XGBoost, Decision Trees, PCA, SMOTE, and model validation strategies such as cross-validation, AUC, and Precision-Recall analysis.Designed and graded modular ML applications using Streamlit, integrated with AWS Lambda for scalable serverless deployment; reduced instructor grading time by 35%.Debugged and optimized ETL workflows across Python (Pandas), Tableau, and SAS pipelines, enhancing data integrity and lineage tracking; reinforced compliance with data governance best practices.Mentored students on real-world use of MLFlow, sklearn pipelines, hyperparameter tuning, and responsible AI techniques, bridging academic theory with industry application.
EDUCATION
University of North Carolina at Charlotte
Master of Science - MS, Data Science and Business Analytics
Lancaster University
Master of Science, Marketing
Mahatma Gandhi Institute of Technology
Bachelor of Technology - BTech, Computer Science
ABOUT MANASA VUPPU
Data Science | Machine Learning | Business Analytics | Data-Driven Decision Making I am a data science and machine learning enthusiast passionate about leveraging AI, predictive modeling, and advanced analytics to drive strategic decision-making. With 5+ years of experience spanning engineering, marketing analytics, and business intelligence, I excel in analyzing large datasets, developing machine learning models, and creating compelling visualizations that inform business strategies. Currently, I am pursuing a Master’s in Data Science and Business Analytics at UNC Charlotte, where I am refining my expertise in machine learning, data mining, database management, and business intelligence. Academic Coursework Spring ‘25: Cloud Computing, Artificial Intelligence/Deep Learning, Marketing Analytics Fall ‘23: Data Mining, Advanced Business Intelligence, Machine Learning Fall ‘23: Business Intelligence, Data Visualisation using Tableau and Streamlit, Strategic Analytics, Database Management Systems What I’m Seeking I am looking for Spring co-op or Summer 2025 internship opportunities in Data Science, AI/ML, or Business Analytics, where I can contribute my expertise in machine learning, predictive analytics, and data engineering. My goal is to build AI-driven solutions, develop scalable data pipelines, and drive impactful insights for real-world business challenges. Key Skills & Technical Expertise Machine Learning & AI: Predictive modeling, NLP, deep learning, model evaluation (Scikit-learn, TensorFlow, PyTorch) Data Analysis & Engineering: SQL, ETL pipelines, data wrangling, feature engineering Big Data & Cloud: AWS, Google Cloud (GCP) Data Visualization & Reporting: Tableau, Matplotlib, Seaborn, Excel Business Analytics & Decision Science: A/B testing, customer segmentation, statistical modeling (SPSS, Qualtrics) Programming: Python, R, SQL, Java Notable Experience & Impact Founder, The Creative Bookmark (Marketing and AI Analytics Consulting)| Hyderabad Led data-driven marketing for 80+ clients across airlines, healthcare, and fashion, using customer segmentation, sentiment analysis, and predictive modeling to optimize campaigns. Developed Tableau dashboards to track engagement metrics, improving ROI by 25%. Teaching Assistant, Machine Learning | UNC Charlotte Guided students in Python-based machine learning workflows, including supervised/unsupervised learning and AI model optimization. Developed Power BI dashboards to visualize model performance and automated root cause analysis for AI projects.
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