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π¦ Loan Approval Prediction β Supervised ML (Classification)
- Built Logistic Regression and Decision Tree classifiers to predict loan approval.
- Performed data cleaning, encoding, scaling, and cross-validation.
- Compared models using metrics (accuracy, F1-score, ROC AUC) and selected the best-performing model.
- Used Python, pandas, and GridSearchCV for hyperparameter tuning.
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π Data Visualization using Tableau
- Analyzing global sales trends, discounts, and profits.
- Created interactive dashboards in Tableau for key insights.
- Used Tableau, SQL, and Excel for data analysis.
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π’ Java Shipping Company Calculator
- Calculates shipping costs from China to Germany using volume & weight constraints.
- Optimizes container use with modular OOP design in Java.
- Used Java 17, OOP (Abstraction, Inheritance), CLI input, and clean architecture.
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π Enterprise Network Simulation (Cisco Packet Tracer)
- Designed and configured a full enterprise network with subnets, wireless clients, and web services.
- Used Cisco Packet Tracer, dynamic routing (RIP), Class A/C addressing, and firewall isolation.
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- Designed relational schema for a Spotify-like platform with full ERD and 1NF - 3NF normalization.
- Used SQL, ERD tools, 3NF normalization, and full PDF documentation.
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π¬ PwC Twitter Sentiment Analysis
- Analyzed reposts and mentions of PwC using Natural Language Processing and visualisation.
- Used Twitter API, TextBlob, Python & Tableau to derive brand perception insights.
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π War Card Game β Java OOP Project
- Fully implemented "War" round mechanics from scratch β both backend and frontend.
- Developed game logic for "War" round, ensuring correct handling of drawn cards, round progression, and scoring.
- Designed custom UI elements: visualized "War" cards, adjusted layout dynamically, and implemented additional animations.
- Handled full-stack aspects of the game, including integrating GUI interactions with core Java logic.
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π©βπ» All of my projects are available at https://github.com/ilnazasaifutdinova
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π« How to reach me ilnazasaifutdinova@gmail.com