09/19/2026 updated
100 % available
Data Science Student | Python & R | Machine Learning & Data Analytics
rawalpindi, Pakistan
Only remote
BS Mathematics with Data Science (expected 2029)About me
I’m a Data Analyst specializing in Excel, Power BI, data cleaning, data entry, reporting, and data visualization. I help clients turn raw data into accurate, organized, and easy-to-understand reports and dashboards.
Python Programming
Proficiency in Python for developing applications, data processing, and implementing core programming concepts, demonstrated through projects such as a command-line expense tracker built independently from scratch.
Data Science & Analysis
Hands-on experience with Pandas, NumPy, data cleaning, exploratory data analysis, and statistical analysis, applied in real-world projects including Netflix dataset analysis to derive meaningful insights.
Machine Learning
Practical knowledge of machine learning techniques including model training, prediction, feature analysis, and model evaluation, applied in R to build a house price prediction model.
Data Visualization
Experience with Matplotlib, Seaborn, and Power BI to communicate findings and identify trends within datasets.
R Programming
Application of R for statistical computing and machine learning tasks, including housing data preparation and model development.
C Programming
Foundational knowledge of C as part of a multi-language programming skill set.
Tools & Version Control
Familiarity with Microsoft Excel, Jupyter Notebook, Git, and GitHub for project management, version control, and data analysis workflows.
Mathematics & Statistics
Strong academic foundation in mathematics, statistics and probability, linear algebra, calculus, and multivariable calculus as part of the BS Mathematics with Data Science curriculum.
Proficiency in Python for developing applications, data processing, and implementing core programming concepts, demonstrated through projects such as a command-line expense tracker built independently from scratch.
Data Science & Analysis
Hands-on experience with Pandas, NumPy, data cleaning, exploratory data analysis, and statistical analysis, applied in real-world projects including Netflix dataset analysis to derive meaningful insights.
Machine Learning
Practical knowledge of machine learning techniques including model training, prediction, feature analysis, and model evaluation, applied in R to build a house price prediction model.
Data Visualization
Experience with Matplotlib, Seaborn, and Power BI to communicate findings and identify trends within datasets.
R Programming
Application of R for statistical computing and machine learning tasks, including housing data preparation and model development.
C Programming
Foundational knowledge of C as part of a multi-language programming skill set.
Tools & Version Control
Familiarity with Microsoft Excel, Jupyter Notebook, Git, and GitHub for project management, version control, and data analysis workflows.
Mathematics & Statistics
Strong academic foundation in mathematics, statistics and probability, linear algebra, calculus, and multivariable calculus as part of the BS Mathematics with Data Science curriculum.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishGood
Project history
Served as Director of Operations and Administration for the CDS Society for six months. Managed operational and administrative activities, coordinated organizational tasks, and worked with team members to maintain effective coordination and day-to-day operations.
Developed a command-line, text-based expense tracking application using Python. Implemented core programming concepts to manage and process expense records, building the application independently from scratch.
Analyzed a Netflix dataset using Python, Pandas, and data analysis techniques to explore content trends, distribution, and key patterns. Performed data cleaning and exploratory data analysis, and used data visualization to communicate findings.