Saurabh Chalke
Business Process Lead - Workforce Data Analytics & Forecasting @The Home Depot Canada
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WORK HISTORY
Business Process Lead - Workforce Data Analytics & Forecasting @The Home Depot Canada
Toronto, ON, CA
Pioneered the workforce forecasting portfolio, consistently delivering extraordinary forecast accuracy (>= 97%) for an impressive streak of 31 consecutive weeks• Orchestrated seamless integration of industry-leading forecasting engine, SAS Viya, by collaborating with IT partners and vendors, unlocking enhanced capabilities and driving unparalleled forecasting accuracy• Led weekly forecasting meetings, facilitating collaboration and driving data-driven decision-making among the operations and Senior Leadership Team to achieve operational excellence• Initiated impactful process improvement initiatives, including anomaly detection, simulations, and testing for new processes, driving operational efficiency and continuous enhancement• Spearheaded cross-functional collaboration with stores, sales execution, finance, and supply chain teams, integrating valuable business insights and operational strategies into the labor forecasting process• Earned five prestigious Homer Awards for exemplifying the core values at the heart of Home Depot\'s culture, showcasing unwavering commitment, excellence, and integrity in every endeavor
EDUCATION
Dalhousie University
Master of Engineering - MEng
Maharashtra State Board of Technical Education
Diploma
University of Mumbai
Bachelor of Engineering - BEng
ABOUT SAURABH CHALKE
Data-driven professional with a strong background in data science, business process leadership, project management, and forecasting. Specialized in developing and automating end-to-end data solutions for large corporations across diverse domains including retail, automotive, research, financial services, banking, and project management. Experienced in leveraging statistical analysis, machine learning, and predictive modeling techniques to drive accurate and insightful forecasts. Proficient in designing and implementing ETL pipelines, advanced algorithms, data visualization, databases, and intuitive GUI design. Passionate about harnessing the power of data to optimize business strategies, improve operational efficiency, and deliver actionable insights. Let\'s connect and explore opportunities to collaborate in the dynamic field of data science and forecasting. Software skills: • Programming Languages: Python, SAS Viya, R, HTML, CSS • Data & Visualisation: Google Big Query, Data Studio, SQL, SSIS, Power Automate, Tableau, Power BI, Docker, Apache-Airflow, ETL, Data science pipeline (cleansing, wrangling, visualization, modeling, interpretation), Statistics, Time series, OOP, Excel, Git • Project Management: MS Project, Confluence, Miro, One Note
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