• Automated reporting processes using Alteryx, reducing report generation time by 70% and enabling more timely and accurate decision-making.• Utilized Python to handle big streaming data sets, resulting in 85% increase in the speed of data ingestion and processing.• Assisted clients in identifying business requirements and converting them into effective Power BI reports, resulting in a weekly time-saving of 18 hours from manual labor.• Conducted ad-hoc analyses to answer business questions and provide insights to management, resulting in improved operational efficiency and cost savings.Data Analysis, Data Wrangling, Microsoft Excel, Power BI, MySQL, Inventory Management, Supply Chain Management (SCM)

• Developed ETL pipelines using SQL and Python to extract and load the required data from the enterprise database.• Trained 6 junior analysts in advanced computational methods in a period of 5 months, resulting in 40% improvement in team performance.• Led a cross-functional team effort across Design Engineering, Production, and Assembly teams in solving a critical production issue saving $2M in budget allocation.• Leveraged Tableau to build dashboards and maintain reporting systems saving 5 man hours per person per week.Anaplan Model Builder, Anaplan L2 Certification, Financial Planning and Analysis (FP&A), Sales Planning, Revenue Planning, Demand Forecasting, Python, SQL, Power BI, Data Wrangling, Data Analysis, Machine Learning, Business Intelligence

• Performed data cleaning, profiling, feature scaling and engineering in Python using Numpy, Scikit-learn and Pandas packages.• Analyzed huge datasets containing more than 50 attributes to identify key performance indicators.• Developed linear regression models for predicting the design parameters of automobile components resulting in 80% reduction of manual efforts.• Performed multinomial logistic regression to determine the most effective towing hook for a specific model of car leading to 4-fold improvement in design and development time frames.Anaplan Model Building, Financial Planning and Analysis (FP&A), Revenue Planning, Python, SQL, Data Analysis, Data Manipulation, Reporting, Analyzed huge datasets, Tableau, Business Intelligence