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Business Analyst Trainee
MedTourEasy• June 2023 - July 2023
Demonstrated expertise in healthcare analytics by utilizing the UCI Heart Disease dataset with 14 columns and over 300 samples to analyze and predict occurrences and potential risks of heart attacks, coronary artery disease, and other cardiovascular disorders. Conducted exploratory data analysis (EDA) using Pandas library, revealing key insights and identifying crucial features for accurate heart disease prediction. Identified K-nearest neighbors as the optimal machine learning model for heart disease prediction, achieving an impressive accuracy rate of 85% on the UCI dataset, contributing to informed decision-making for healthcare risk assessment and prevention strategies.
Data Analyst Virtual Intern
AWS• July 2022 - September 2022
Conducted an extensive data analysis project to enhance the marketing strategy of FitBit wellness tracker Uncovered insights from usage data: less than 50% of users consistently tracked heart-rate and body parameters, and up to 75% missed tracking daily step count Utilized Python, NumPy, Pandas, and machine learning techniques, achieving 85% accuracy in predicting user behavior. Created interactive visualizations and dashboards using Tableau and Power BI, delivering comprehensive insights to stakeholders.
Vishnu Institute of Technology
Data Science, B.Tech• September 2020 - Present
Pursuing Bachelors in Artificial Intelligence & Data Science. Scored an 8.58 CGPA until my Third Year, First Semester. During my second and third years of study, I engaged in several projects, including social media sentiment analysis on platforms such as Twitter and Instagram, as well as sentiment analysis for movie recommendations on Netflix.