Praveen Singh — Director of Engineering

Accomplished Data and Engineering Leader with expertise in building innovative data solutions for large enterprises and marquee startups. Possesses a robust background in data engineering with a specialization in MLOps and DataOps. Demonstrated expertise in leading large-scale projects that integrate advanced analytics and machine learning technologies to drive significant business transformations and insights. In current role, driving Data and ML Engineering for PayU, India as Senior Director of Data and Machine Learning Engineering. Under my tenure at tenure, PayU has set new benchmarks in the Fintech landscape, leading the digital lending space with data at its core. We have been able to create and benchmark one if the best data and ML platform across fintechs. My diverse experience extends across various industries, including fintech, consumer products and retail, B2C hyperlocal, and insurance particularly within the US and Asian markets, serving global players and startups. As a passionate advocate for data-driven solutions, I thrive on implementing transformative strategies that enhance decision-making across essential business sectors. My initiatives consistently empower management teams with actionable insights, facilitating strategic advancements and improved business outcomes. Skilled in managing cross-functional teams, fostering a culture of technical excellence, innovation, and continuous improvement. Adept at partnering with other business leaders to align the technology initiatives with the strategic goals of the organization. Proficient in deploying state-of-the-art data and ML models and frameworks, optimizing data architecture, and ensuring robust data governance practices. Key strengths include strategic planning, leadership, problem-solving, and a deep understanding of how to leverage data and AI to create competitive advantages and improve customer experiences. An active contributor to the data engineering community, frequently speaking at industry conferences, publishing papers and patents on emerging data engineering technologies and methodologies.

Stackforce AI infers this person is a Fintech Data Engineering Leader with expertise in MLOps and DataOps.

Location: Bengaluru, Karnataka, India

Experience: 13 yrs 3 mos