Faeza T
@faezat
Data analyst skilled in Python, BI, and applied ML, turning complex data into actionable business insights.
PakistanWhat I'm looking for
I am a results-driven Data Analyst with an MS in Computational Science & Engineering and a strong foundation in applied mathematics, machine learning, and business intelligence.
I have practical experience in Python-based data analysis, NLP, EDA, and building interactive dashboards using Power BI, Tableau, and Streamlit, and I routinely clean and process large datasets to ensure data integrity.
My work history includes automating analysis pipelines, developing error-free data processing scripts, and translating technical outputs into clear, actionable insights for cross-functional teams.
I seek opportunities where I can contribute to data-driven decision-making and business growth, leveraging modelling, visualization, and automation to improve workflows and outcomes.
Experience
Work history, roles, and key accomplishments
Freelance Data Analyst
Self-Employed
Jan 2024 - Present (2 years 2 months)
Built automated Streamlit tools and interactive dashboards (Tableau) to integrate and preprocess multi-source healthcare and transportation data, delivering validated workflows and KPI reporting for clients.
Data Analyst Intern
Turkish Aerospace Industries
Jan 2024 - Dec 2024 (11 months)
Automated large-scale aerodynamic data analysis pipelines using Python, reducing manual processing time and operational costs and improving data integrity through error-free processing scripts and documentation.
Research Assistant
NUST
Jan 2023 - Dec 2024 (1 year 11 months)
Applied statistical models and machine learning to large datasets, performed EDA to identify trends and anomalies, and produced publication-ready documentation and visualisations for research projects.
Education
Degrees, certifications, and relevant coursework
University of the Punjab
Bachelor of Science, Applied Mathematics
Grade: 3.67 / 4.00
Bachelor of Science in Applied Mathematics with a 3.67/4.00 CGPA, emphasizing mathematical foundations for data analysis.
National University of Sciences & Technology
Master of Science, Computational Science & Engineering
Grade: 3.80 / 4.00
Master of Science in Computational Science & Engineering with a 3.80/4.00 CGPA, focusing on applied mathematics, machine learning, and data analysis.
Tech stack
Software and tools used professionally
Availability
Location
PakistanAuthorized to work in
Job categories
Skills
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