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Hi, I’m Karim Osmani, a Data Science graduate with strong expertise in machine learning, statistical modeling, and time-series analysis. I excel at transforming large datasets into actionable insights and developing predictive models using Python and modern ML frameworks. I have hands-on experience with healthcare telemonitoring data and feature engineering, and I’m motivated to build data-driven solutions that support decision-making and improve real-world outcomes. I am passionate about leveraging data to solve real problems and collaborating across disciplines to deliver impactful results. I continually expand my toolkit with new techniques and tools to drive better decisions and outcomes in healthcare and beyond.…Hi, I’m Karim Osmani, a Data Science graduate with strong expertise in machine learning, statistical modeling, and time-series analysis. I excel at transforming large datasets into actionable insights and developing predictive models using Python and modern ML frameworks. I have hands-on experience with healthcare telemonitoring data and feature engineering, and I’m motivated to build data-driven solutions that support decision-making and improve real-world outcomes. I am passionate about leveraging data to solve real problems and collaborating across disciplines to deliver impactful results. I continually expand my toolkit with new techniques and tools to drive better decisions and outcomes in healthcare and beyond.

Karim Osmani

Data Scientist, Web Developer, Full Stack Developer, +4

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Hi, I’m Karim Osmani, a Data Science graduate with strong expertise in machine learning, statistical modeling, and time-series analysis. I excel at transforming large datasets into actionable insights and developing predictive models using Python and modern ML frameworks. I have hands-on experience with healthcare telemonitoring data and feature engineering, and I’m motivated to build data-driven solutions that support decision-making and improve real-world outcomes. I am passionate about leveraging data to solve real problems and collaborating across disciplines to deliver impactful results. I continually expand my toolkit with new techniques and tools to drive better decisions and outcomes in healthcare and beyond.…Hi, I’m Karim Osmani, a Data Science graduate with strong expertise in machine learning, statistical modeling, and time-series analysis. I excel at transforming large datasets into actionable insights and developing predictive models using Python and modern ML frameworks. I have hands-on experience with healthcare telemonitoring data and feature engineering, and I’m motivated to build data-driven solutions that support decision-making and improve real-world outcomes. I am passionate about leveraging data to solve real problems and collaborating across disciplines to deliver impactful results. I continually expand my toolkit with new techniques and tools to drive better decisions and outcomes in healthcare and beyond.

Available to hire

Hi, I’m Karim Osmani, a Data Science graduate with strong expertise in machine learning, statistical modeling, and time-series analysis. I excel at transforming large datasets into actionable insights and developing predictive models using Python and modern ML frameworks. I have hands-on experience with healthcare telemonitoring data and feature engineering, and I’m motivated to build data-driven solutions that support decision-making and improve real-world outcomes.

I am passionate about leveraging data to solve real problems and collaborating across disciplines to deliver impactful results. I continually expand my toolkit with new techniques and tools to drive better decisions and outcomes in healthcare and beyond.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

English

Advanced

French

Advanced

Work Experience

Data Science Intern at Humantech

January 1, 2025 - Present

Conducted EDA on two million CPAP telemonitoring records, performed full data preprocessing (cleaning, imputation, outlier detection via IQR, normalization, and categorical encoding). Engineered time-series features using TSFEL with demographic and clinical inputs. Completed feature selection and stratified splitting with Pearson/Kendall correlations and balanced set construction. Built and tuned predictive models with Random Forest, LightGBM, and CatBoost, achieving 87.5% accuracy, F1-score 0.877, and ROC AUC 0.94.

Data Collector at Lebanese Opinion

January 1, 2021 - January 1, 2022

Collected and organized internal datasets from multiple departments to support business analysis. Analyzed raw data, identified patterns, and presented findings to management for decision-making. Compiled information into structured planograms to guide product placement and reporting. Ensured data accuracy, consistency, and validation before submission.

Data Science Intern (Master Thesis Project) at Humantech

January 1, 2025 - June 1, 2025

Worked on a master's thesis project focused on predicting CPAP therapy adherence using telemonitoring data. Conducted exploratory data analysis on more than two million rows of patient CPAP usage data. Performed data preprocessing including cleaning, missing value handling, outlier detection, normalization, and encoding. Engineered statistical and temporal time-series features using TSFEL. Applied feature selection techniques including Pearson and Kendall correlation. Built predictive machine learning models (Random Forest, LightGBM, and CatBoost) achieving 87.5% accuracy, F1-score 0.877, and ROC-AUC 0.94.