Abubaker Sadiq

# Data Scientist

Location Saudi ArabiaDesired Salary 30 -  USD/hourlyWork preference Full TimeLinksNot setStatus   Actively looking Field / Industry Data Science & Analytics

* SharePreferences:Relocation: NoNotice Period: ImmediateSkill Assessments:This user has not passed any tests yet

Languages:  English -

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[Overview](#overview)

## About Me

I am a Data Scientist with a strong background in analyzing and interpreting large amounts of data to support better business decisions. I am skilled in using Python, SQL, and data visualization tools to clean, organize, and present information clearly. I have experience in building predictive models, identifying patterns, and creating reports that help teams understand trends and make smart choices. I am passionate about solving real-world problems with data and always eager to learn new tools and technologies to improve results.

Throughout my career, I have designed and implemented machine learning models to solve practical problems, such as detecting real and fake news using natural language processing techniques. I have hands-on experience with various machine learning algorithms including Logistic Regression, Random Forest, Naive Bayes, and Support Vector Machines. I am proficient in feature extraction methods like TF-IDF and word embeddings to enhance model accuracy.

I have developed web applications using frameworks like Streamlit and Flask to demonstrate real-time classification and prediction results. My technical toolkit includes Python, R, SQL, Jupyter Notebook, Google Colab, Git, and Excel. I am also experienced in data analysis and visualization using Pandas, NumPy, Matplotlib, Seaborn, Power BI, and Tableau.

In addition to my technical skills, I am a strong communicator and collaborator, capable of working effectively within teams. I am committed to continuous learning and applying critical thinking and problem-solving skills to deliver impactful data-driven solutions. I hold a Bachelor's degree in Computer Science and Information Technology from the University of Swat, which has provided me with a solid foundation in statistics, mathematics, and database management.

I am currently based in Madinah, Saudi Arabia, and I am looking forward to contributing my expertise to organizations that value data-driven decision making and innovative problem solving.

## Skills

### [Communication Skills](https://jobicy.com/talent/communication-skills.md)[Project Management](https://jobicy.com/talent/project-management.md)[Problem Solving](https://jobicy.com/talent/problem-solving.md)[Python](https://jobicy.com/talent/python.md)[SQL](https://jobicy.com/talent/sql.md)[Machine Learning](https://jobicy.com/talent/machine-learning.md)[Git](https://jobicy.com/talent/git.md)[Microsoft Excel](https://jobicy.com/talent/microsoft-excel.md)[PostgreSQL](https://jobicy.com/talent/postgresql.md)[MySQL](https://jobicy.com/talent/mysql.md)[Critical Thinking](https://jobicy.com/talent/critical-thinking.md)[MongoDB](https://jobicy.com/talent/mongodb.md)[Flask](https://jobicy.com/talent/flask.md)

## Education

University of Swat  2025  Bachelor of Science in Computer Science and Information Technology

## Experience

data scientist @ Safe pay  Aug 2023 - Jul 2025 Designed and implemented a machine learning model to identify whether news articles are real or fake. Collected, cleaned, and preprocessed text data using NLP techniques such as tokenization, stop-word removal, and lemmatization. Applied machine learning algorithms including Logistic Regression, Random Forest, Naive Bayes, and Support Vector Machine (SVM) for text classification. Extracted features using TF-IDF and word embeddings to improve model accuracy and performance. Evaluated models using key metrics like accuracy, precision, recall, and F1-score to ensure reliable results. Built a simple Streamlit/Flask web app to demonstrate real-time news classification and prediction results.