Sudaksh Singh
Lead Data Scientist at Home Depot | Data Science and Analytics professional with 10+ years
Professional Overview
Sudaksh Singh is a seasoned Data Science and Analytics professional with over 10 years of experience driving data-driven decision-making and transformative business impact. As the Lead Data Scientist at The Home Depot, he leverages his expertise in predictive modeling, data engineering, and analytical problem-solving to deliver innovative data solutions that optimize operations, enhance customer experiences, and drive revenue growth.
Experience Summary
Current Role
As the Lead Data Scientist at The Home Depot, Sudaksh is responsible for spearheading the development and implementation of advanced analytics models and algorithms to support the company's strategic initiatives. He collaborates cross-functionally with business stakeholders to identify opportunities, define analytical frameworks, and translate complex data into actionable insights that drive measurable business outcomes. Under his leadership, Sudaksh's team has delivered high-impact projects that have improved inventory forecasting, optimized supply chain logistics, and enhanced personalized marketing campaigns, resulting in significant cost savings and revenue increases.
Career Progression
Prior to his current role, Sudaksh held several influential positions in the data science and analytics field. As the Analytics Media Manager at Amazon, he utilized predictive modeling and media attribution to optimize the company's advertising strategies and improve return on ad spend. As a Senior Data Scientist at 84.51°, he developed and deployed machine learning models to support merchandising and marketing decisions for leading consumer brands. Earlier in his career, Sudaksh served as an Analytics Consultant at eClerx, a Product Analyst at Zynga, and a Decision Scientist at Mu Sigma Inc., where he honed his skills in data analysis, project management, and cross-functional collaboration.
Academic Background
Sudaksh holds a Master's degree in Data Science from the University of Texas at Austin, where he specialized in statistical modeling, machine learning, and data visualization. He also earned a Bachelor's degree in Computer Science from the Indian Institute of Technology, Kharagpur, where he graduated with honors.
Areas of Expertise
- Predictive modeling and machine learning
- Data engineering and pipeline optimization
- Analytical problem-solving and decision support
- Strategic consulting and business transformation
- Cross-functional collaboration and stakeholder management
Professional Impact
Throughout his career, Sudaksh has demonstrated a proven track record of delivering high-impact data solutions that drive measurable business results. His contributions have been recognized through numerous awards and accolades, including the "Data Scientist of the Year" award at the 2021 Data Innovation Summit and the "Best Analytical Project" award at the 2020 INFORMS conference.
Conclusion
With his deep expertise in data science, analytical problem-solving, and cross-functional collaboration, Sudaksh is well-positioned to continue driving transformative business impact as the Lead Data Scientist at The Home Depot. His unwavering commitment to leveraging data-driven insights to optimize operations, enhance customer experiences, and drive revenue growth makes him a valuable asset to any organization seeking to harness the power of data for competitive advantage.
