Hi, I’m Jeffrey Ugochukwu, a data analyst and statistician who loves turning numbers into clear, actionable insights. I’ve built forecasting models, dashboards, and data-quality checks across energy, finance, and operations domains, with hands-on experience in SQL, Python, R, and visualization tools. I thrive on translating complex results into practical recommendations that drive business decisions and improve processes. I’m motivated by collaboration, continuous learning, and communicating findings in a friendly, approachable way. I enjoy tackling ambiguous data problems, adopting new tools, and sharing stories from data to teammates and stakeholders to help them act with confidence.

Jeffrey Ugochukwu

Hi, I’m Jeffrey Ugochukwu, a data analyst and statistician who loves turning numbers into clear, actionable insights. I’ve built forecasting models, dashboards, and data-quality checks across energy, finance, and operations domains, with hands-on experience in SQL, Python, R, and visualization tools. I thrive on translating complex results into practical recommendations that drive business decisions and improve processes. I’m motivated by collaboration, continuous learning, and communicating findings in a friendly, approachable way. I enjoy tackling ambiguous data problems, adopting new tools, and sharing stories from data to teammates and stakeholders to help them act with confidence.

Available to hire

Hi, I’m Jeffrey Ugochukwu, a data analyst and statistician who loves turning numbers into clear, actionable insights. I’ve built forecasting models, dashboards, and data-quality checks across energy, finance, and operations domains, with hands-on experience in SQL, Python, R, and visualization tools. I thrive on translating complex results into practical recommendations that drive business decisions and improve processes.

I’m motivated by collaboration, continuous learning, and communicating findings in a friendly, approachable way. I enjoy tackling ambiguous data problems, adopting new tools, and sharing stories from data to teammates and stakeholders to help them act with confidence.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

English
Fluent

Work Experience

Business Analyst (Contractor) at Insight Global
April 1, 2024 - July 1, 2024
Worked in the Evergreen team to partner with PG&E on developing financial forecasting models to help PG&E fund for future utility projects. Wrote SQL queries to summarize information about the scheduled project tags such as project status and location. Developed time series model for the period 2018-2024 and found that 2024 had a 70% decline in scheduled project tags, indicating PG&E had the lowest project funding that year.
Data Analyst (Contractor for San Ramon, CA Office) at Pacific Gas & Electric Company
August 1, 2023 - September 1, 2023
Worked in the Construction Management Team to do quality assurance regarding the data of the company's construction projects for electrical meter installations.
Business Analyst (Contractor for Oakland Headquarters) at Pacific Gas & Electric Company
September 1, 2022 - March 1, 2023
Worked in the Quality Control & Communications team to do quality assurance on customer datasets. Assisted with eligibility screenings for interested customers to gain approval for PG&E’s energy efficiency programs. Analyzed regulatory documents from CPUC to create a support document for energy efficiency project reviews (Technologies used: Python, R, SQL, SAP, Salesforce, GIS, AWS).
Business Intelligence Analyst Intern at Bruker Cellular Analysis
January 1, 2022 - June 1, 2022
Analyzed the financial health and product performance of the company’s cell therapy products for the Finance team (Technologies used: Python, R, SQL, Tableau). Modeled revenue and quarterly sales for cell therapy products. Found a 70% decline in finances in 2021 due to supply chain issues from COVID-19.
Data Analyst Intern at Federal Reserve Bank of San Francisco
June 1, 2021 - August 1, 2021
Developed time series models (80% accuracy, AWS deployment) forecasting future financial deposits for the Cash Product Office (Technologies used: Python, R, SQL, AWS). Identified a 2020 deposit-volume decline due to COVID-19 and recession. Broke down time series models by office in Tableau and assessed factors such as city population, ATM count, and city affluence.

Education

B.S. in Statistics at University of California, Davis
January 11, 2030 - June 1, 2022

Qualifications

Facebook Data Challenge 2020 Finalist
January 11, 2030 - December 25, 2025
JP Morgan Data for Good Hackathon Finalist
January 11, 2030 - December 25, 2025
UC Davis 2019-2020 Community Service Award
January 11, 2030 - December 25, 2025
Emerging MURPP S Research Scholar
January 11, 2030 - December 25, 2025

Industry Experience

Energy & Utilities, Software & Internet, Professional Services, Financial Services, Manufacturing

Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more