Sarvat Fatima
"Analyst by mind, strategist by work."
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4. Zynk.ing (http://Zynk.ing) — Product Research & QA
I worked on Zynk.ing (http://Zynk.ing), a networking-focused product, from the early stages of product understanding and research. I contributed to market and competitor research, product documentation, feature analysis, and QA testing across different modules. I also coordinated with the intern team and helped identify product issues and areas for improvement across onboarding, feed, chat, profiles, and mentor-related features.
Skills: Business Analysis, Product Research, Competitor Analysis, QA Testing, Documentation
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3. Customer / Business Data Analysis
I worked on data analysis projects involving data cleaning, exploratory data analysis, visualization, and finding useful patterns in datasets. I used Python and R to organize raw data, analyze trends, create visualizations, and turn the results into simple business insights. The projects helped me build practical experience with working with real-world datasets.
Tools: Python, R, Pandas, NumPy, Excel, Matplotlib, Seaborn, ggplot2
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2. Customer Churn Analysis
I analyzed customer data to identify patterns related to customer churn. I cleaned and explored the dataset, created visualizations to understand customer behavior, and used classification techniques to predict potential churn. I also worked with Decision Tree, Random Forest, and KNN models and reviewed feature importance to understand which factors were more relevant to churn.
Tools: R, RStudio, ggplot2, Machine Learning
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1. Employee Attrition Prediction & Risk Analysis
I analyzed an employee dataset to understand the factors associated with employee attrition and built machine learning models to predict employees who may be at risk of leaving. The project included data cleaning, preprocessing, exploratory analysis, feature preparation, and model evaluation using Python. I compared Logistic Regression and Random Forest models and focused on understanding employee patterns rather than only prediction accuracy.
Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
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