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Rishi Bhakta
About Me
I am a graduate of the Master of Science in Analytics program at Georgia Institute of Technology, specializing in Computational Data Analytics, with a strong foundation in data science, statistical modeling, and applied machine learning. I enjoy transforming complex data into actionable insights that drive smarter business and technical decisions. My background includes hands-on experience across analytics, software engineering, and data-driven product development. As a Software Engineering Intern at Cisco, I collaborated with various company departments and stakeholders to build and enhance internal automation tools, including chatbots that significantly improved operational efficiency and compliance completion rates. Seeing the measurable impact made through this work, such as increasing training completion from 33% to 97%, reinforced my passion for building and fine-tuning scalable, data-informed solutions. Academically and professionally, I have worked extensively with Python, R, SQL, and statistical modeling techniques, applying them to projects in marketing analytics, time-series forecasting, and applied machine learning. My experience includes developing ARIMA/SARIMAX, regression, and tree-based models for revenue forecasting at SparkyAI!, optimizing digital advertising performance using Google Ads data, and delivering insights through clean visualizations and reproducible analysis. I have also applied AI and computer vision techniques, including training a YOLOv8 object detection model, to extract meaningful signals from large datasets for virtual tour analytics. I am particularly interested in applied AI systems that combine strong statistical foundations with scalable, business-focused solutions. I also served as a Teaching Assistant at Georgia Tech, where I supported graduate students by clarifying core concepts in accounting, finance, & business fundamentals, and led weekly office hours and discussion forums on said subjects. This role has strengthened my ability to communicate complex ideas clearly and collaborate in fast-paced, technical environments. I am actively seeking opportunities in data analytics, data science, and analytics-driven engineering roles where I can apply rigorous quantitative methods, build impactful models, and continue learning at the intersection of data, technology, and business.