Resume

BINYAMEEN AFRIDI

KPK, Peshawar Hayatabad

PROFILE SUMMARY

Aspiring Data Scientist with a strong foundation in data analysis, programming, and continuous learning. I’m a self-taught Data Analyst, with a deep commitment to expanding my expertise in data science. My journey began with a passion for Python and programming, which led me to develop proficiency in data cleaning, manipulation, and visualization over the past two years.

With one year of dedicated experience as a Data Analyst, I’ve honed my skills in essential Python libraries like Pandas, Seaborn, and NumPy, allowing me to perform advanced data cleaning, manipulation, and visualization. Over the past two years, I’ve also built a solid foundation in machine learning with a focus on model development, feature engineering, and evaluation.

MY SKILLS

Technical Skills

Programming Languages: Python, SQL
Data Manipulation: pandas, NumPy
Machine Learning: scikit-learn, XGBoost
Data Visualization: Matplotlib, Seaborn, Power BI
Model Deployment: Streamlit, Docker

Tools & Technologies

Development: Git, GitHub, Jupyter Notebook
Cloud Platforms: AWS (Sagemaker), Google Cloud Platform Basic
Version Control: Git, GitHub Actions, CI/CD pipelines

Soft Skills

Problem-Solving: Strong analytical and critical thinking skills
Communication: Clear data storytelling and visual explanation
Collaboration: Teamwork and cross-functional collaboration

Projects

Heart Disease Prediction Model (Machine Learning)
House Price Prediction Model (Machine Learning)
Consumer Complaints python (EDA)
New York Rolling Sales (EDA)
Car Sales Data Analysis (Power BI)
Sales Data Analysis (SQL)

Why These Skills Matter?

Python for data analysis and machine learning, using libraries like Pandas, Seaborn, and NumPy for data manipulation and visualization.
Machine Learning with scikit-learn and other machine learning libraries for building predictive models, including techniques in regression, classification, and natural language processing.
Streamlit to create interactive web applications
Git and GitHub for version control and collaboration, GitHub Actions for continuous integration and deployment.
Docker for containerizing applications, deployment and consistency across environments.
Power BI and Excel for interactive dashboards and data analysis.
Strong Analytical Skills: Excellent analytical abilities for extracting meaningful insights from complex datasets, leading to data-driven decision-making.
Attention to Detail: Highly detail-oriented, ensuring data accuracy and integrity throughout analysis and reporting.
Strong communication skills to facilitate clear, collaborative work in team environments.
Good foundation in MySQL for database management.
Continuous Learning: Passionate about continuous learning, keeping up with the latest trends in data science and machine learning.

Education

College in Computer Science, forward college Peshawar in 2021

Relevant Coursework: Data Analysis, Statistics, Data Visualization