About
Highly motivated Data Science student with a strong foundation in statistical analysis, machine learning algorithms, and data visualization. Eager to leverage analytical skills and programming proficiency to extract actionable insights and contribute to data-driven decision-making in a dynamic industry setting.
Education
→
Bachelor of Science
Data Science
Grade: GPA: 3.8/4.0
Courses
Machine Learning Fundamentals
Statistical Methods for Data Science
Database Management Systems
Data Visualization and Communication
Python for Data Analysis
Big Data Technologies
Applied Predictive Modeling
Languages
English
Skills
Programming Languages
Python, R, SQL, Bash.
Data Science Libraries
Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras.
Machine Learning
Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Feature Engineering, Model Evaluation.
Data Management
SQL Databases, Data Cleaning, ETL Processes, Data Warehousing Concepts.
Data Visualization
Tableau, Power BI, Matplotlib, Seaborn, Interactive Dashboards.
Statistical Analysis
Hypothesis Testing, Inferential Statistics, Descriptive Statistics, A/B Testing.
Tools & Platforms
Jupyter Notebook, Google Colab, Git, GitHub, VS Code.
Interests
Technology & Innovation
Artificial Intelligence, Big Data, Cloud Computing, Emerging Technologies.
Problem Solving
Analytical Thinking, Strategic Planning, Complex Data Challenges.