Hello, my name is Shantanu Kumar. I am a dedicated and skilled Data Scientist with over five years of experience in the fields of machine learning, deep learning, and advanced analytics. I graduated from IIT Kharagpur. My professional journey began at Quantiphi Analytics, where I honed my skills in machine learning engineering, working on complex projects such as OCR for handwritten text detection and exploratory data analysis.

I then transitioned to Accenture AI, where I played a pivotal role in various projects, including retail analytics for a leading Southeast Asian company, intelligent revenue growth for a telecom firm in Dubai, and cross-selling insurance products for a PSU bank in India. My work involved developing customer lifetime value models, building value-based segmentation, and creating propensity models that significantly boosted target shopper engagement.

Currently, I am a Data Scientist Associate at J.P. Morgan Chase. Here, I have developed fraud risk mitigation strategies, optimized fraud rule performance tracking, and automated home lending loss forecasting model outputs. My efforts in these areas have resulted in substantial cost savings and process efficiencies for the company. I also lead training initiatives and collaborate closely with cross-functional teams to drive seamless migrations and improve operational workflows.

I am passionate about leveraging data science to solve complex problems and drive business value. My technical expertise spans Python, PySpark, SAS, TensorFlow, Keras, and cloud platforms like AWS and GCP. I am always eager to take on new challenges that allow me to apply my skills and contribute to impactful projects.

Outside of work, I enjoy exploring new places and playing sports, which help me stay balanced and energized. I am excited about the opportunity to bring my experience and skills to a new role where I can continue to grow professionally and make meaningful contributions.