Results-oriented data analyst is proficient in Python, R, and SQL. Skilled in statistical analysis and data visualization, with a track record of extracting actionable insights from large datasets. Strong communicator and…
Results-oriented data analyst is proficient in Python, R, and SQL. Skilled in statistical analysis and data visualization, with a track record of extracting actionable insights from large datasets. Strong communicator and problem-solver dedicated to enhancing decision-making processes. Looking forward to show my passion in this field, to expand and utilize my learning, skills and knowledge driven to contribute to organizational growth.
Learned the basics for the course and the real-time use of Python programming language and its libraries like pandas, numpy, scikit-learn, matplotlib, etc. for data science.
Worked on coding skills.
Worked on individual projects and group projects to polish knowledge and skills.
Developed the Titanic survival model with 92% accuracy using ML algorithms, emphasizing feature engineering and ensemble techniques.
Collaborated on credit card fraud detection, implementing anomaly detection and achieving an 89% reduction in false positives.
Led iris flower classification model development, optimizing accuracy to 90% through feature scaling and hyperparameter tuning.
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