I’m a data-driven professional with a passion for harnessing the power of AI and analytics to solve real-world problems. With over 5 years of hands-on experience in Statistical Modeling, Data Analysis, and Visualization, I thrive in industries ranging from Healthcare and Finance to Marketing. Armed with a Bachelor’s in Commerce (Economics Honors), and certifications from Caltech in Data Analytics and Oracle in Generative AI, I excel at turning complex data into actionable insights that drive business success.My technical toolkit includes Python (Pandas, NumPy, Seaborn, Scikit-learn), SQL, Tableau, Power BI, and Snowflake, but my true strength lies in applying machine learning algorithms—like Random Forest, XGBoost, and K-Means Clustering—to create predictive models that make a difference. I’ve led global teams on transformative projects, from optimizing waste management in Berlin to developing AI-powered malaria prevention tools and predicting student success rates.I’m not just passionate about technology for commercial gain—I actively take on pro bono AI projects, using data to drive impact in areas like education, healthcare, and environmental sustainability. I believe in the power of data to create social good and am always eager to contribute my expertise where it can make a real difference.When I’m not working on pro bono projects, I’m constantly upskilling in the latest AI and data trends. ~My experience spans across DVC, MLflow, AWS EC2, and creating powerful visualizations using Power BI, Tableau, and Python to bring data to life.If you’re looking for someone who’s equally excited about numbers, code, and the greater good—let’s connect!