Armstrong Asenavi

EXPERIENCE

1. Datacamp – Remote 12/2021 – 05/2023 (Data Science Technical Writer, AI/ML)
   • Authored and edited various technical documents, tutorials, and guided projects on data science and machine learning, simplifying concepts for diverse audiences.
   • Led collaborative efforts with data science experts to create and maintain comprehensive documentation for ML platforms, resulting in 30% improved user adoption.
   • Developed engaging and SEO-optimized articles and tutorials, increasing user engagement by 25%.
   • Contributed to open-source initiatives, fostering community-driven learning through collaborative content creation
2. Draft.dev – Remote 03/2022 – 09/2022 (Technical Writer)
3. • Produced diverse technical content, including conceptual documentation, blog posts, tutorials, and end-to-end guides for various software products.
   • Created structured content that explained complex software development processes, APIs, and integrations, enabling seamless implementations for developers.
   • Collaborated with product teams to ensure documentation aligned with product features and development timelines while maintaining technical accuracy and best practices.
   • Implemented SEO strategies to boost organic traffic and visibility, driving engagement within target developer communities by 30%.

3. Freelance – Remote 01/2021 – 02/2022
Data Analyst
Conducted data analysis for clients, transforming complex datasets into actionable insights and clear visualizations for strategic decision-making.

• • Collaborated with stakeholders to create visual documentation for data analysis workflows.
  • Designed responsive dashboards using Python and SQL for improved customer success metrics.
  • Handled documentation projects for command line tools and data processing pipelines
  • Ensured legal compliance in all technical documentation deliverables.
• Allwriters – Remote 01/2021 – 02/2022 (Data Analyst & Finance Content Writer)
• Collected and analyzed data focusing on market research and data-driven storytelling to guide strategic business decisions.
  • Created and edited research papers, market analyses, and technical reports, making complex data accessible to academic and professional audiences.
  • Formulated content strategies for educational institutions, developing SEO-optimized study guides and academic papers.
  • Collaborated with clients to ensure data accuracy and relevance, meeting institutional and client standards for all written materials.

AcademicMinds – Remote 08/2013 – 09/2014
Freelance Data Analyst & Finance Writer
Engaged in intermediate to advanced data analytics, converting technical insights into well-articulated academic content and research papers.
• Edited academic articles and reports for clarity and accuracy, ensuring alignment with client specifications.
• Worked with academic teams to deliver high-quality research findings and written materials, including effective collaborations with design teams.

EDUCATION

WorldQuant University – New Orleans, LA
Msc. Financial Engineering, August 2020
• Focused on quantitative analysis, machine learning (ML), and data science applications in financial markets.
• Gained proficiency in Python for data visualization, ML algorithms, and financial modeling.
• Applied R for advanced financial analysis and statistical modeling to create predictive models and data-driven reports.

Completed hands-on projects involving data pipelines, algorithmic trading, and machine learning applications, with an emphasis on clear technical documentation and communication of complex concepts.

CFA Institute – New Orleans, LA
CFA Level 1 – Finance and Financial Management Services, 2014
• Specialized in asset management, financial analysis, and quantitative techniques for evaluating and managing investment portfolios.
• Focused on communicating complex financial data and quantitative methods effectively for technical and non-technical audiences.

University of Nairobi – Nairobi, KE
BA – Economics and Mathematics, 2009
• Studied mathematical modeling, econometrics, and statistical analysis, emphasizing data interpretation and clear communication of complex quantitative findings.
• Developed strong foundations in data analysis and technical writing skills, with applications in economics, mathematics, and business intelligence.