06/10/2026 updated
100 % available
Data Analyst | Python & SQL | Data Visualization & Business Analytics
Faisalabad, Pakistan
Worldwide
MPhil Applied LinguisticsData AnalysisBusiness AnalysisData TransformationData MiningData VisualizationExcel Pivot TablesPython (Programming Language)SQL DatabasesData RepresentationData AnalyticsText Analysis
Python Programming & Data Analytics
Proficiency in Python with libraries such as Pandas, NumPy, and Jupyter Notebook for data handling, automation, and analytical workflows. Experience applying these tools in real-world projects including research and professional environments.
Data Visualization
Expertise in creating interactive dashboards and visual reports using tools such as Cognos, Power BI, Tableau, Matplotlib, and Excel to support data-driven decision-making and inventory planning.
SQL & Database Management
Hands-on experience maintaining and querying databases with SQL, including managing a database of over 10,000 patient records to improve data accuracy and reporting efficiency.
Business Analytics
Application of business analytics techniques to analyze trends, generating actionable reports for resource allocation.
Statistical Analysis
Knowledge of statistical methods applied to data interpretation and research, supported by formal certification in from Stanford University.
Data Annotation & Machine Learning Support
Experience annotating AI-generated responses and labeling training data to support machine learning model development and refinement, ensuring accuracy, relevance, and coherence.
Prompt Engineering & LLMs
Development of prompt-based analytical tools leveraging large language models and Python for linguistic research, including automated analysis pipelines.
Git/GitHub
Familiarity with version control using Git and GitHub for collaborative software development and project management.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishFluent
Project history
Developed and maintained interactive dashboards in Excel to track daily medication inventory. Maintained a database of 10,000+ patient records, improving data accuracy and reporting efficiency. Analyzed patient intake and medication distribution trends, generating reports that supported inventory planning and resource allocation.
Collaborated on task-based assignments to strengthen practical understanding of programming workflows and best practices. Worked on multiple projects involving data handling, automation, and problem-solving using Python.
Annotated AI-generated responses to evaluate accuracy, relevance, coherence, and overall quality. Labeled and categorized training data to support machine learning model development and refinement.