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Lynn Gichuhi

@lynngichuhi

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Junior data analyst and data scientist focused on actionable, impact-driven insights.

Kenya

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What I'm looking for

I seek roles where I can build end-to-end data pipelines, apply ML/NLP to real problems, and translate findings for non-technical stakeholders while growing in data engineering and applied data science.

I am a junior data analyst and data scientist with hands-on experience building end-to-end data pipelines, performing statistical analysis, and delivering actionable insights from complex datasets. I apply Python (Pandas, NumPy, Matplotlib, Seaborn, NLTK) and SQL to solve real-world problems in health, business, and social impact contexts.

My projects include a Kenya health trends analysis across 12 counties and a 5,000+ review NLP pipeline with an interactive Streamlit dashboard; both published with reproducible notebooks and clear documentation. I have practical experience in data cleaning, annotation (Supervisely, Labelbox), ETL, visualization, and data storytelling designed for non-technical audiences.

I am completing a B.Sc. in Information Technology with coursework in AI, machine learning, and statistics, and I bring disciplined, quality-focused habits from roles in data verification and annotation. I aim to contribute reliable, well-documented analytics that drive decisions and social impact.

Experience

Work history, roles, and key accomplishments

Data Analyst

Self-Directed Project

Jan 2025 - Feb 2025 (1 month)

Built end-to-end data pipelines and visualisations for a Kenya health trends analysis across 12 counties, revealing five-year outbreak patterns and correlations between healthcare access and patient outcomes; published reproducible code on GitHub.

Python Pandas Matplotlib SeaBorn Data Cleaning ETL Statistical Analysis GitHub

Data Annotation Specialist

AI for Community Health Initiative

Sep 2024 - Dec 2024 (3 months)

Labelled medical image datasets with 99% accuracy and collaborated on database schema design and data integration to ensure dataset reliability for supervised ML workflows.

Data Annotation Image Labeling Supervisely Labelbox Data Quality Database Schema Design Data Integration Documentation

Data Analyst

Kisii University

Sep 2024 - Nov 2024 (2 months)

Developed an NLP pipeline and Streamlit dashboard analysing 5,000+ customer reviews to surface sentiment patterns and product issues, integrating three data sources and presenting actionable recommendations to stakeholders.

Python NLTK Streamlit Data Integration ETL Sentiment Analysis Data Visualization SQL Data Wrangling

Data Verification Clerk

Independent Electoral & Boundaries Commission

Aug 2019 - Aug 2019 (0 months)

Verified and cross-checked voter registration records for accuracy, logged discrepancies, and escalated unresolved cases to ensure data integrity in an official electoral process.

Data Verification Data Quality Documentation Attention To Detail

Education

Degrees, certifications, and relevant coursework

Kisii University

Bachelor of Science, Information Technology

2022 -

Activities and societies: Academic projects: Kenya Health Trends Analysis (end-to-end data pipeline, visualization) and Customer Sentiment Dashboard (NLP, Streamlit); Data Annotation Volunteer for AI for Community Health Initiative.

Pursuing a Bachelor of Science in Information Technology with coursework in AI, machine learning, statistics, and databases; applied classroom learning to multiple data analysis and NLP projects.