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Data Analyst

Location:
Boston, MA
Salary:
60000
Posted:
June 22, 2025

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Resume:

Jafar Ebrahimi

Boston, MA

617-***-**** # *****.********@*****.*** ï linkedin.com/in/jeff-ebrahimi Summary

Data analyst with a strong foundation in research, content generation, and statistical programming. Skilled in technical writing, annotation, and synthesizing complex information across domains. Experienced in leveraging Large Language Models

(e.g., ChatGPT) for prompt crafting, content refinement, and quality evaluation. Proficient in Python, R, Excel, and working with structured data formats (CSV, JSON, Markdown). Strong attention to detail, academic integrity, and ability to adapt to fast-paced, cross-functional environments.

Education

University of Bologna Mar. 2025

M.Sc. in Resource Economics and Sustainable Development Italy Tarbiat Modares University

M.Sc. in Energy Economics Iran

Persian Gulf University

B.Sc. in Economics Iran

Experience

Ministry of Economy (MoEC) 2019 – 2021

Economic Analyst Kabul, Afghanistan

– Conducted data analysis on national pricing reforms and energy access.

– Drafted technical contents and reports for government and development partners.

– Worked with structured and semi-structured datasets using CSV and JSON formats for policy and energy reporting. Ministry of Energy and Water (MEW) 2018 – 2019

Energy Analyst Kabul, Afghanistan

– Reviewed renewable energy proposals and created evaluation frameworks.

– Annotated technical project documents and performed cost-benefit analysis.

– Prepared electrification policy briefs with high attention to detail. OSDS Institute 2016 – 2018

Research Assistant Kabul, Afghanistan

– Managed survey data and supported content production for SDG reports.

– Conducted academic literature reviews and summarized findings.

– Analyzed renewable energy outcomes and visualized data trends. Certifications

• Data Analyst in Python – DataCamp

• Machine Learning with Python – MITx

• Statistical Modeling and Computation – MITx

• Probability and Uncertainty –MITx

• Fundamentals of Statistics – MITx

Technical Skills

Programming: Python, R, SAS, Git, basic UNIX/CLI

Data & Markup Formats: CSV, JSON, Markdown, RTF

Tools: Excel, GitHub

Annotation & Content: Technical writing, policy briefs, data annotation AI Tools: Regular user of ChatGPT and other LLMs for prompt design, content creation, and critical evaluation.



Contact this candidate