Data Analyst | Turning Data into Meaningful Insights
- π― Passionate about extracting, analyzing, and visualizing data to drive business decisions.
- π Skilled in Data Visualization using Power BI and Tableau, along with extensive expertise in SQL, Python, Pandas, Matplotlib, and Excel.
- π Experienced in Exploratory Data Analysis (EDA) and crafting insightful dashboards.
- βοΈ Adept at cleaning and transforming complex datasets for high-quality analysis.
- π Proficient in statistical analysis to uncover trends, patterns, and actionable insights.
- π Expertise in predictive analytics and machine learning techniques to forecast trends and outcomes.
- π Enthusiastic about learning new technologies and keeping up with industry trends.
- Programming: Python (Pandas, Numpy, Matplotlib, Seaborn)
- Data Visualization: Power BI, Tableau
- Libraries & Frameworks: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn
- Databases: SQL (MySQL)
- Data Analysis Tools: Excel (Advanced), Power Query
- Tools: Jupyter Notebook, Google Colab, Git
- Core Competencies: Exploratory Data Analysis (EDA), Dashboard Creation
- ETL: (Extract, Transform, Load) processes