Data Science professional with 7+ years of experience in building and applying analytical approaches to deliver insights and implement data driven solutions for diverse business scenarios across Banking, Hospitality, Retail and Insurance including predictive modeling. Experience in leading a team and spearheading Pilot projects for client acquisition. What I bring: Solid understanding of predictive modeling, pattern recognition, clustering, supervised and unsupervised learning. Experience in Python and key libraries for Data Science. Expertise in MLFlow for managing the machine learning lifecycle and PySpark for data processing and transformation. Proficient in building and deploying pipelines using Airflow and integrating data quality checks. Skilled in setting up dashboards for ongoing ML model monitoring. Strong ability to translate data insights into practical business recommendations. Excellent statistical modeling and data management skills. Effective communication and presentation abilities. Strong leadership and team inspiration capabilities. Good understanding of banking products, services, and channels. Customer-focused mindset. Analytical and inquisitive nature to drive continuous decision automation improvement. Effective communication with technical and non-technical stakeholders. Beyond my day job, I am on a mission to positively impact education with my volunteering efforts focused on making education accessible to all. I write technical blogs and have started non-profit Prashikshu Analytics to help shape a better future. In the past I have also been part of multiple social education upliftment programs. Soon to launch Youtube tutorials. Github repository for analytics content: github.com/mradulD Medium(It's a work in progress): https://medium.com/@mdec718