Margaret Sasha Otieno

Margaret Sasha Otieno

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Nairobi County, Kenya

Contact Margaret regarding: 
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Internships
Open to unpaid internships

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Résumé


Jobs verified_user 0% verified
  • F
    Freelancing
    Oct 2025 - Current (6 months)
Education verified_user 0% verified
  • I
    IBM Data Analytics Professional Certificate
    Oct 2025 - Dec 2025 (3 months)
    Data visualization, dashboards, Excel analytics, SQL, Python.
  • I
    IBM Data Science Professional Certificate
    Oct 2025 - Dec 2025 (3 months)
    Foundations of data science, Python for data analysis, SQL, machine learning basics.
  • W
    Women Techsters – Tech4Dev Program (Data Science And Engineering Learning Track)
    Sep 2025 - Current (7 months)
    Career development + technical training for women in tech; focuses on digital & software skills.
  • P
    Predictive Analytics Training – (Python for Data Cleaning, Wrangling & Visualization)
    May 2024 - Jul 2024 (3 months)
    Hands-on training in cleaning datasets, exploratory data analysis, and building analytical workflows using Python.
  • J
    Bachelor of Science in Data Science
    Jomo Kenyatta University of Agriculture and Technology (JKUAT)
    Jan 2023 - Current (3 years 3 months)
    Relevant coursework: Linear Algebra, Calculus, Probability & Statistics I-III, Machine Learning Foundations.
  • K
    KCSE A–
    Kenya High School
    Jan 2019 - Dec 2022 (4 years)
Projects (professional or personal) verified_user 0% verified
  • I
    Insurance Cost Analysis
    Feb 2025 - Mar 2025 (2 months)
    Analyzed insurance premium drivers using Pandas, NumPy, and Seaborn.Engineered features including BMI categories and smoking status to enhance model accuracy.Built and evaluated regression models with RMSE, improving prediction reliability.
  • R
    Residential Housing Price Prediction
    Jan 2025 - Feb 2025 (2 months)
    Developed predictive models using Scikit-learn with feature selection and hyperparameter tuning.Produced visualizations of feature importance and error distributions to support decision-making.
  • C
    Chicago Data Analysis Using SQL and Python
    Jan 2025 - Feb 2025 (2 months)
    Conducted EDA on public Chicago datasets, integrating Python (Pandas) and SQL.Cleaned, joined, and transformed large tables to identify crime patterns, demographics, and infrastructure trends.Created visualizations and aggregation queries that highlighted high-risk areas and under-resourced communities.Generated actionable insights for stakeholders, informing data-driven community safety recommendations.
  • C
    Credit Score Default Analysis
    Jan 2025
    Preprocessed customer financial data, encoding categorical variables.Built classification models (Logistic Regression, Decision Trees) and evaluated performance using Precision, Recall, and ROC-AUC.
  • I
    India Housing Predictive Modelling
    Aug 2024
    Completed end-to-end data analysis workflow, including EDA and feature engineering.Trained multiple regression models, evaluated performance using RMSE, and visualized key housing price drivers.