Data Science Machine Learning
Resume:
ARVIND BALAKUMAR
Atlanta,GA :+1-470-***-****:***********@******.***
EDUCATION
Georgia Institute of Technology, United States,Atlanta, GA Master's Degree in Biomedical Engineering, January 2024 – Present
SRM University, Chennai, India
Bachelor's Degree in Electrical, Electronics and Communications Engineering, 2019 – 2023 CERTIFICATION
Microsoft:
Azure Data Fundamentals (DP-900) – Credential ID: 414E584BF56D1EB
Azure AI Fundamentals (AI-900) – Credential ID: C587D22E39B74711
Coursera: Introduction to Statistics & Data Analysis in Public Health – Credential ID: 998ER7KJHH6J
Data-driven Astronomy – Credential ID: EN9VC2P7TMA7
AI for Medical Treatment – Credential ID: P95YCSDHA3FG
AI for Medical Prognosis – Credential ID: W9GHKBUSRYSW
AI for Medical Diagnosis – Credential ID: J4ZZTSZ5UB8W
IBM:
o Data Science Foundations – Level 1 & 2 (V2)
o Python for Data Science
o Deep Learning Essentials
The Coding School: Introduction to Quantum Computing – Credential ID: 215*********** PROJECTS
ECG & Heartbeat Monitoring Healthcare System: ECG & Heartbeat Monitoring Healthcare System: Continuously monitors ECG signals using a sensor with disposable electrodes placed on the chest to detect heartbeats. The system alerts healthcare professionals of abnormal readings through a machine learning model
Hidden Behind Shadows: Analysis on Vitamin D Deficiency: Conducted statistical and logistic regression analysis using the NHANES 2013-2014 dataset to explore associations between Vitamin D deficiency and features such as cholesterol, BMI, age, gender, and family income by utilizing chi-square tests, Kruskal Wallis ANOVA, Dunn’s Post Hoc Test, and Tukey HSD to assess relationships.
Hot Stocks, Cold Trends: Analyzing Market Moves with Seasons:Analyzed stock price and delisting trends from 1985 to 2024 using the Wharton Research Data Services (WRDS) and Center for Research in Security Prices (CRSP) and investigated seasonal influences on stock market volatility and company delisting’s using multiple linear regression and stepwise regression techniques.
Weekly Sales Analysis at Walmart:Conducted a comprehensive analysis of Walmart's weekly sales data from 2010 to 2012 using statistical methods including Kruskal-Wallis ANOVA and multiple linear regression. Assessed the impact of store location, holidays, and seasonal trends on sales performance, identifying significant differences and recommending resource allocation strategies for peak sales periods.
Hospital Management System:Developed a comprehensive application for hospital management using MySQL Workbench for database operations and Flask for front-end development. Utilized MySQL for backend database management, Flask and Python for web application development, and HTML for user interface design.
Probabilistic Cost-Effectiveness of Vaccination and Treatment Strategies for Alzheimer’s Disease Developed a Markov model to simulate disease progression and evaluate the 10-year cost-effectiveness of interventions including vaccination (AN-1792) and treatments (Donepezil, Rivastigmine). Scenario analysis showed vaccination dominated treatments, highlighting its FDA approval potential.
PUBLICATION
Quantum K-Means Clustering and Classical K-Means Clustering for Chest Pain Classification using Qiskit, https://www.ijraset.com/best-journal/quantum-kmeans-clustering-and-classical-k-means-clustering-for-chest-pain- classification-using-qiskit
Implementation of Quantum Key Distribution Algorithm in Real-Time IBM Quantum Computers, https://www.ijraset.com/best-journal/implementation-of-quantum-key-distribution-algorithm-in-real-time-ibm-quantum- computers
SKILLS
Programming Languages: Python, R, C, C++, HTML
Cloud Platforms: Microsoft Azure (DP-900, AI-900 certified), Basic knowledge of AWS
Technologies: Machine Learning, Deep Learning, Medical AI, Quantum Computing
Statistical Methods: Statistical Analysis, Regression, Hypothesis Testing, Data Visualization
Tools & Frameworks: MySQL, Flask, Jupyter Notebook, Pandas, NumPy, Matplotlib
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