Pooja Doshi

Background

About Pooja Doshi

I’m a Machine Learning Engineer with a background in Chemical Engineering, blending scientific problem-solving with data-driven innovation. My work focuses on computer vision, predictive analytics and data-driven decision-making, helping turn complex data into practical solutions. At Bio-Corn Products, I applied data analytics to streamline processes and contributed to the commercialization of a $1M research project funded by the Bill & Melinda Gates Foundation. I enjoy breaking down complex technical challenges into actionable business insights that drive real impact. My experience includes developing CNN models for medical imaging, customer segmentation strategies for e-commerce, and reducing uncertainty quantification in ML models to improve predictive accuracy. I'm skilled in Python, TensorFlow, SQL and Tableau, with experience in cloud computing (AWS), data storytelling, and model optimization. I love solving problems, learning new things and collaborating with others to build meaningful solutions. Always excited for new challenges, I’m eager to contribute my expertise to projects that make a difference. Let’s connect and explore how data science and machine learning can shape the future!