About Me

I am a Data Analyst II at Loeb Elecric, specializing in building robust data infrastructures using SQL and Power BI. With a degree in Engineering Physics from The Ohio State University, I began my career as an Associate Analyst at AML RightSource and concurrently served as Signal Processing Engineer at Serva Energy

At Loeb Electric, I've executed profitability analysis, that lead to implementing new pricing guidelines, and automated reporting, saving the company hours of manual work. Additionally, I collaborated on a data-driven warehouse management system and maintained data quality in the ERP system. Beyond my role, I conduct weekly training sessions on Excel and Power Query for all employees. In my prior role at Serva Energy, I optimized signal processing algorithms for noise reduction and implemented advanced techniques for improving spectral data.

For further details, please feel free to email me for my resume or any inquiries. My expertise lies in Data Analysis and Signal Processing, and I leverage a strong background in Math and Statistics for impactful contributions to data analytics projects.

Data Analyst II at Loeb Electric

• Established a comprehensive data ecosystem by building a Power BI Datamart utilizing SQL and Power BI dataflows, creating a real-time insights platform and facilitating data-driven decision-making across the organization.
• Implemented time-saving automation by extracting reports from the company's SQL database, significantly reducing manual work by 50 hours per week and enhancing operational efficiency.
• Took responsibility for maintaining data quality in the company's ERP system, writing mass loads and subroutines to contribute to accurate and reliable data.
• Executed profitability analysis on projects, identifying efficiency opportunities; the insights gleaned informed the implementation of new pricing guidelines, resulting in improved project profitability and optimized storage costs.
• Collaborated with a third-party contractor to enable a data-driven warehouse management system, analyzing inventory volume & velocity, and improving overall supply chain.
• Currently conducting a 30-minute crash course per week on Excel and Power Query, accessible to all company employees, empowering them with valuable data analysis skills.

Signal Processing Engineer at Serva Energy

• Designed and optimized innovative online signal de-noising and pile-up correction algorithms leveraging FFT and template matching methods; implemented on 1.8 MS/s input rate and achieved significant noise reduction, stored data size reduction, and live time of over 80%
• Improved peak to background ratio using SNIP background subtraction coupled with other unfolding techniques, which enhanced weak spectrum features
• Cleaned and visualized spectral data utilizing local regression smoothing and Matplotlib
• Implemented an online short window moving average filter on noisy reactor temperate monitoring data to improve plot aesthetics

Associate Analyst at AML RightSource

• Evaluate and monitor financial transactions to assess potential suspicious activity
• Identify data anomalies & red flags for money laundering, terrorist financing, fraud, and sanctions violations
• Work in a team-oriented & collaborative environment to optimize the detection model and improve the analytical & reporting processes
• Improved the team's efficiency by automating a data transformation task using Power Query

Undergraduate Research Assistant at The Ohio State University

• Tested the performance parameters of Perovskite Crystals for Gamma-ray detection and analyzed gamma spectral data

At OSU:

• Physics 6805 : Topics in Nuclear Physics
• Physics 5500 : Quantum Mechanics
• Physics 5400H: Honor Intermediate Electromagnetism
• Physics 5300 : Theoritical and Computational Mechanics
• Physics 3700 : Experimental Physics Instrumentation and Data Analysis
• NE 6507 : Numerical Methods fo Nuclear Engineering
• NE 5742 : Radiation Mesearment and Analysis
• CSE 2122 : Algorithms and Data Structures

Online Courses:

• Data Analysis with Pandas
• Data Analysis with Power BI
• Intro to SQL: Querying and managing data
• Advanced SQL: Query Optimization

• Inducted into Tau Beta Pi honor society
• Awarded a prestigious four year full ride scholarship from Libya's Ministry of Higher Education
• Ranked 10th (out of > 60,000) nationwide in Libya's joint high school exit exams

• ayub.sherif94@gmail.com
• ayub.sherif@loebelectric.com