As a data analyst fresher, I bring strong analytical skills, a passion for uncovering insights, and a determination to solve real-world business problems using data. My academic background and projects have equipped me with foundational expertise and the ability to work effectively with various data tools and methodologies.
Key Capabilities
Data Collection and Cleaning
- Skilled in gathering raw data from diverse sources (e.g., databases, CSV files, APIs) and preparing it for analysis.
- Experience handling missing or inconsistent data through cleaning techniques using tools like Python (pandas) and Excel.
Data Visualization
- Proficient in creating impactful visualizations to communicate complex data insights.
- Hands-on experience with tools like Tableau, Power BI, and Matplotlib/Seaborn in Python to design interactive dashboards and charts.
Statistical Analysis
- Ability to perform statistical techniques like hypothesis testing, correlation analysis, and regression to derive actionable insights.
- Knowledge of descriptive and inferential statistics.
Database Management
- Familiar with SQL for querying databases, joining tables, and extracting relevant information to support decision-making.
- Basic knowledge of database systems like MySQL and PostgreSQL.
Problem-Solving Approach
- Experienced in breaking down complex problems into simpler parts and providing data-driven solutions.
- Capable of applying analytical thinking to interpret trends, patterns, and anomalies.
Technical Skills
- Programming Languages: Python, R (basic knowledge).
- Tools: Excel (advanced functions, pivot tables), SQL, Tableau, Power BI.
- Data Analysis Libraries: pandas, NumPy, Matplotlib.