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Senior Analyst with 5+ years in Predictive Modeling & Data Pipelines
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Assessing your cultural and operational fit
Experienced Data Analytics professional with 5.0 years in engineering and analysis roles. Proven expertise in building scalable data pipelines, predictive modeling (XGBoost, ARIMA), large-scale data processing, and developing interactive Power BI dashboards. Skilled in Python, SQL, ETL, and cross-functional collaboration, driving data-driven insights and process automation for various business and engineering needs.
Syracuse
Master of Science · Data Science
August 1, 2022 – June 30, 2025
USC Viterbi School of Engineering
Data Analytics Certification
August 1, 2021 – June 30, 2022
Southern California Edison via Russell Tobin
Engineer 2
April 1, 2025 – February 1, 2026
Pomona, California, United States
Isuzu Commercial Truck of America via TRICOM QUEST
Senior Pricing Analyst
February 1, 2023 – April 1, 2025
Anaheim, California, United States
Curtiss-Wright Corporation via Tandym Group
Senior Marketing Analytics Lead
August 1, 2021 – December 1, 2022
Brea, California, United States
Honda North America via North American Staffing Group
Business Analyst
February 1, 2020 – April 1, 2021
Torrance, California, United States
Cultural Fit Analysis
The candidate's experience across diverse industries (energy, automotive, manufacturing) and various analytical roles (Engineer, Pricing Analyst, Marketing Analytics Lead, Business Analyst) suggests adaptability and a broad perspective. Their proactive approach to establishing version control and automating workflows indicates a drive for efficiency and best practices, aligning well with a culture that values innovation and continuous improvement. The consistent engagement with cross-functional teams and leadership also points to a collaborative mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root-cause analysis and process automation. Their experience in leading GitHub repository setup and building GUIs for non-technical users indicates a proactive and collaborative operational fit. The ability to communicate complex data insights to executive stakeholders highlights strong presentation and influence skills.