Graduate Business Analytics Professional with over 4 years of experience as a Data Analyst and Machine Learning Engineer, specializing in SQL, Python, Machine Learning, and Data Visualization. Proven track record in leveraging data-driven insights to optimize business processes, enhance model accuracy, and drive growth. Eager to apply analytical and technical expertise to solve complex problems and deliver impactful results in my next role.After completing my undergraduate degree in Information Technology, I joined Temenos, a global banking software company, where I optimized SQL queries and conducted data visualization to analyze and preemptively resolve client-facing issues within the Retail and Forex Banking product lines.I later joined my family business, Mega Paints, as a Data Analyst, where I led marketing analytics initiatives. My contributions included developing and deploying machine learning models to forecast sales, implementing price optimization strategies, and utilizing Evidently AI to monitor concept drift and model performance.Pursuing a Master’s in Business Analytics at Arizona State University allowed me to dive deeper into machine learning, predictive modeling, and business forecasting. Notable projects include developing a scalable web application for real-time student performance tracking using an RNN model and improving model accuracy by 10%. Additionally, I led a sentiment analysis project, applying NLP techniques to analyze customer reviews and forecast revenue growth for major food brands.In my free time, I run a Twitter handle, ‘RainTracker,’ where I analyze and predict weather patterns using data-driven techniques. By engaging users with accurate weather forecasts, I have grown my following to over 10,000 followers.