Fatima Iqbal

Detail-oriented Data Science professional with hands-on experience in data analysis, machine learning, and predictive modeling. Skilled in working with structured datasets, building analytical solutions, and transforming data into actionable insights. Proficient in Python, SQL, and data visualization tools, with a strong focus on accuracy, problem-solving, and continuous learning.

Data Analytics & Machine Learning Projects at Independent Projects (2024-01 – Present)

• Analyzed real-world datasets to identify trends, patterns, and actionable insights
• Cleaned, transformed, and prepared data using Python libraries such as Pandas and NumPy
• Built and evaluated machine learning models for prediction and classification tasks
• Applied feature engineering and model optimization techniques to improve accuracy
• Created visual reports and dashboards using Power BI and Matplotlib
• Documented findings and presented results in a clear, structured manner
• Conducted exploratory data analysis (EDA) to identify trends, correlations, and outliers
• Selected appropriate evaluation metrics to assess model performance
• Optimized data workflows to improve efficiency and accuracy
• Applied logical and statistical reasoning to support analytical conclusions

Background in Data Science in Data Science – Khwaja Fareed University of Engineering & Information Technology (KFUEIT) (2022-01 – 2026-12)