09.11.2025 aktualisiert

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100 % verfügbar

Junior Data analyst

Wallenhorst,, Deutschland
Wallenhorst, +500 km
BsC actuarial science
Wallenhorst,, Deutschland
Wallenhorst, +500 km
BsC actuarial science

Profilanlagen

wincate's Resume.pdf
Wincate Muthoni's cover letter.pdf

Über mich

A Data-driven and detail-oriented professional with hands-on experience in data analysis, statistical modeling, and UI/UX design. I am Passionate about leveraging data and technology to drive decision-making and create impactful user experiences.

Skills

VersicherungsmathematikKünstliche IntelligenzAlgorithmusAnalyse von FinanzdatenWirtschaftFinanzenFinanzanalyseSEOSuchmaschinenBlogsRisikomanagement

I am a highly skilled and motivated professional with a unique blend of expertise in AI, SEO Blogging, Financial Analysis, and a strong educational background in Economics. I have a degree in Actuarial Science with IT. My proficiency in AI Conversational interfaces enables me to effectively bridge the gap between technology and human communication, fostering a seamless user experience.
As a seasoned SEO Blogger, I possess a deep understanding of search engine algorithms and trends, ensuring content is not only informative but also optimized for maximum visibility. My ability to craft compelling and engaging narratives makes me adept at creating content that resonates with target audiences.
With a solid foundation in Financial Analysis, I bring quantitative and analytical skills to the table. My expertise in interpreting complex financial data allows for informed decision-making and strategic planning. Additionally, my academic background in Economics, coupled with an Actuarial Degree, equips me with a comprehensive understanding of economic principles and risk management.

Sprachen

Englischgut

Projekthistorie

Attaché at the Kenya national bureau of statistics

Kenya national bureau of statistics

Öffentlicher Dienst

1000-5000 Mitarbeiter



Zertifikate

Data Analytics

AGIT

2025


Portfolio

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Hackathon presentation

This challenge was from a linkedin competition on the analysis of data from Onyx medical centre. The dataset was fairly large at 55.5k. This is a presentation of the data based on the characteristics it presented.

Kontaktanfrage

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