Data analytics professional with experience in data mining, statistical analysis, data visualization, and business intelligence. Has worked with Python, SQL Server, Power BI, Tableau, Excel, and ERP systems across academ…
Data analytics professional with experience in data mining, statistical analysis, data visualization, and business intelligence. Has worked with Python, SQL Server, Power BI, Tableau, Excel, and ERP systems across academic and industry settings, with a background in Business Analytics and Mechanical Engineering.
* Data Mining: Applied Python for EDA techniques to identify patterns and trends within the accident data in New York, captured $1.2 billion in monetary losses and 1,135 fatalities in 2022.
*Statistical Analysis: Conducted in-depth statistical analysis using Python to identify the most related attributes to accidents, with the goal of reducing car accidents by 15%.
*Data Visualization: Created a dashboard using Tableau to present the findings to professors and researchers, reducing the required time to tell the data story from 3 hours to 10 minutes.
*Training: Trained students on implementing Python to perform the explanatory data analysis techniques, and then to visualize the results by Power BI, boosting the class performance by 20%.
Applied Python for EDA techniques to identify patterns and trends within the accident data in New York, captured $1.2 billion in monetary losses and 1,135 fatalities in 2022.
Conducted in-depth statistical analysis using Python to identify the most related attributes to accidents, with the goal of reducing car accidents by 15%.
Created a dashboard using Tableau to present the findings to professors and researchers, reducing the required time to tell the data story from 3 hours to 10 minutes.
Trained students on implementing Python to perform the explanatory data analysis techniques, and then to visualize the results by Power BI, boosting the class performance by 20%.
Leveraged SQL Server to integrate data from various sources, to develop databases for monitoring equipment performance patterns and trends, achieving a remarkable 22% reduction in downtime.
Utilized inventory metrics, time-series data, data marts (SQL Server), and Power BI to forecast spare parts requirements, generating purchase order waves that effectively reduced shipping costs by 9%.
Analyzed tender bids averaging up to $500,000 per bid, performing cost analysis in Excel to identify cost-effective project completion options, ultimately reducing project costs by 11% and improving profitability.
Orchestrated cross-functional collaboration and delivered data-driven insights to a panel of directors, leading to a 30% reduction in project review cycle times and an accelerated decision-making process.
Directed daily purchase orders up to $1M via Delta ERP for seamless operation of three production units, ensuring a two-year supply of essential spare parts was available.
Led 10-person maintenance team, to optimize the process efficiency, fulfilling up to 18 orders daily.
Teamed with two experts from Siemens and a 12-person maintenance team to replace two electric turbo-generators (22 MW each) at the Utility Plant.
Optimized power generation capacity by 400%.
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