Aspiring Data Analyst with a strong analytical mindset and experience in project management and operations. Currently building hands-on expertise in Python, SQL, and data visualization through practical projects. Passionate about exploring data, uncovering patterns, and continuously developing skills to grow in the data analytics domain.
- Data Analysis & Interpretation - Data Cleaning & Wrangling - Exploratory Data Analysis (EDA) - Statistical Analysis & Hypothesis Testing - KPI Definition & Performance Tracking - Data Visualization & Insight Communication
- Python (Pandas, NumPy, Matplotlib, Seaborn) - SQL (PostgreSQL / relational databases) - Jupyter Notebooks - Git & GitHub - Data storytelling (charts, summaries, executive insights) - Excel (analysis, reporting, operational tracking) - Foundations of Tableau
- Project Management (Agile, Hybrid, Waterfall) - Requirements Gathering & Documentation - Risk, Scope & Timeline Management - Cross-Functional Team Coordination - KPI & Status Reporting - Tools: Jira, ClickUp, Confluence, Microsoft Dynamics, Excel
End-to-end exploratory data analysis using Python and Pandas to identify sales trends by platform, genre, region, and time.
This project analyzes a sales funnel and evaluates the results of an A/B test to understand user behavior and measure the impact of experimental changes on conversion rates. The goal is to support data-driven product and business decisions using statistical analysis.