Mehul Ahire

Research & Data Analysis:

• Spearheaded the development of a comprehensive, data driven inventory management system that optimized stock levels across multiple distribution centers, significantly enhancing operational efficiency

• Employed SQL to systematically extract, transform, and load (ETL) data from enterprise systems, achieving a substantial reduction in stock discrepancies

• Preprocessed and integrated both structured and unstructured data from systems such as SAP, ensuring adherence to high standards of data quality. Additionally, automated Excel-based reporting through VBA, thereby reducing manual effort

• Implemented advanced data modeling techniques in Power BI, which included establishing relationships, creating calculated columns, measures, and utilizing DAX (Data Analysis Expressions) for robust data analysis and visualization

• Conducted rigorous data audits using SQL queries to identify inconsistencies and discrepancies within datasets, thereby improving data accuracy for reporting and analysis

Data Science and Predictive Modeling:

• Developed predictive models in Python utilizing scikit-learn and statsmodels to effectively forecast transportation delays and optimize inventory planning, resulting in reduction in late deliveries

• Employed pandas, NumPy, and Matplotlib for comprehensive exploratory data analysis (EDA) and trend visualization, leading to the successful identification of inefficiencies within supply chain operations

Data Visualization and Reporting:

• Designed and implemented interactive dashboards in Tableau to monitor key metrics for the EU MDR Program, providing real-time visibility into regulatory compliance and overall operational performance

• Engaged with stakeholders to gather reporting requirements, ensuring that the dashboards fulfilled business needs and enhanced data-driven decision-making

• Enhanced logistics and customer service data analysis by integrating SQL-based queries into Tableau reports, thereby streamlining data retrieval and visualization processes

• I developed and delivered comprehensive financial reports, interactive dashboards, and dynamic visualizations using Microsoft Excel and Tableau. This initiative significantly enhanced reporting efficiency and expedited the decision-making process for stakeholders
• In Tableau, I created custom visuals and templates to improve dashboard aesthetics, usability, and user engagement, taking full advantage of Tableau's extensibility and customization features.
• I utilized Python libraries such as Pandas, NumPy, and Matplotlib for advanced financial data analysis, statistical modeling, and data wrangling. This approach improved data accuracy and revealed actionable insights
• Additionally, I designed and optimized data pipelines and warehousing solutions using SQL, Azure Data Factory, and Azure Synapse Analytics. This streamlined data retrieval and integration processes, supporting real-time analytics
• Finally, I implemented Key Performance Indicator (KPI) analysis frameworks to monitor financial and operational performance, leading to increased operational efficiency.
• I effectively communicated complex analytical findings to stakeholders by crafting compelling data stories, detailed reports, and visual presentations using tools like PowerPoint and Think-Cell. This process facilitated informed decision-making across multiple departments
• I conducted advanced data analysis using SQL, which included regression modeling, hypothesis testing, and exploratory data analysis (EDA)
• Additionally, I designed and implemented A/B testing frameworks to evaluate the performance of marketing campaigns, utilizing Google Analytics and Tableau to identify strategies that increased conversion rates and optimized campaign effectiveness
• I also introduced basic machine learning techniques using scikit-learn for predictive modeling and forecasting financial trends, which helped generate insights for proactive business strategies
• To ensure data integrity, compliance, and security, I adhered to best practices in data governance, utilizing Alation for data cataloging and Azure Key Vault for secure key management