Salah Elbakri
Overview
7
7
years of professional experience
Work History
Financial Analyst Intern
Bonneville Power Administration
09.2024 - Current
- Assisted higher-level employees by analyzing datasets from various sources, including files, reports, and regulatory documents, using Python and SQL to support financial analysis and business decision-making.
- Collected, cleaned, and processed data to identify discrepancies, improving data accuracy by 20% through data validation and correction using established formulas and methods.
- Performed quantitative analysis and applied financial principles to generate insights, reducing problem resolution time by 30%.
- Created and maintained data-driven reports and dashboards using Excel and Power BI to track key performance indicators, leading to a 25% improvement in report generation efficiency.
- Utilized data visualization tools (e.g., Power BI, Python’s Matplotlib/Seaborn) to compile, analyze, and present findings, enabling stakeholders to make data-driven decisions.
Power Systems Engineering Consultant
ISO New England
05.2019 - 03.2022
- Created and maintained network models for grid upgrades, using data analysis and predictive modeling to optimize power system performance.
- Planned, monitored, and reported on the project lifecycle, employing machine learning models to forecast utility-level interconnection demand, resulting in a 20% improvement in project timeline accuracy.
- Wrote SQL queries to update and maintain a contingency database, enabling real-time system monitoring and reducing response time to application issues by 20%.
- Applied ML techniques to assess grid operations data, identifying patterns and detecting potential grid failures, which informed strategic decision-making for field upgrades and improved system reliability.
Engineering Consultant
Regeneron Pharmaceuticals Inc
06.2017 - 04.2019
- Managed small to mid-sized projects by developing and deploying machine learning models, such as Random Forest and Gradient Boosting, to predict equipment failure, leading to 25% reduction in unplanned downtime through proactive maintenance strategies.
- Utilized predictive analytics techniques, including time series forecasting and anomaly detection, to investigate process equipment and control systems, driving 18% improvement in system reliability by identifying early signs of wear and potential faults.
- Built, trained, and deployed supervised learning models to analyze equipment performance trends, leveraging libraries such as Scikit-Learn and TensorFlow for model training, and using cross-validation to optimize model performance, leading to more efficient maintenance strategies.
Education
Master of Science - Data Science
University of Washington
Seattle, WA10.2024
Bachelor of Science - Electrical Engineering
University of Massachusetts
Amherst, MA05.2017
Skills
- Python R Java SQL
- Microsoft Office Tableau Power BI
- Git Gitlab
- Unix Linux
- Pandas NumPy Scikit-Learn
- TensorFlow PyTorch Keras
- Matplotlib Seaborn
- Apache Hadoop Apache Spark
- AWS: S3 Redshift SageMaker
- Microsoft Azure AWS Athena
- Exploratory Data Analysis
- CNNs RNNs
Personal Information
Hobbies: Soccer, Music, Social Initiatives
Timeline
Financial Analyst Intern
Bonneville Power Administration
09.2024 - Current
Power Systems Engineering Consultant
ISO New England
05.2019 - 03.2022
Engineering Consultant
Regeneron Pharmaceuticals Inc
06.2017 - 04.2019
Master of Science - Data Science
University of Washington
Bachelor of Science - Electrical Engineering
University of Massachusetts
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