About Me
Aspiring Data Analyst with hand-on experience in Excel, SQL, Python, Power BI, and Tableau. Skilled in data cleaning, dashboard creation, exploratory data analysis, and transforming raw data into actionable business insi…
Aspiring Data Analyst with hand-on experience in Excel, SQL, Python, Power BI, and Tableau. Skilled in data cleaning, dashboard creation, exploratory data analysis, and transforming raw data into actionable business insights. Comfortable using AI tools like ChatGPT, Microsoft Copilot, and Google Gemini for SQL generation, Excel automation, report creation, and productivity enhancement. Passionate about solving business problems using data and AI-powered analytics.
Experience
Data Analyst Trainee
<p>• Assisted in collecting, cleaning, and organizing data for analysis.</p><p>• Used Microsoft Excel to prepare reports and perform basic data analysis.</p><p>• Learned SQL to retrieve and filter data from databases.</p><p>• Supported the creation of simple Power BI dashboards and visualizations.</p><p>• Performed data validation to ensure accuracy and consistency.</p><p>• Helped maintain datasets and prepare daily/weekly reports.</p><p>• Worked with senior analysts to understand reporting requirements.</p><p>• Continuously improved knowledge of Excel, SQL, Python, and Power BI through practical tasks.</p>
PROJECTS
Customer Churn Analysis Project
<p>• Analyzed 7,043 telecom customer records to identify customer churn patterns and retention opportunities</p><p>• Used PostgreSQL, Python(Pandas, NumPy), and Tableau for data cleaning, analysis, and dashboard creation</p><p>• Developed an interactive Tableau dashboard with KPIs and visualizations for churn rate, contract type, payment method, tenure, and monthly charges</p><p>• Used AI tools (ChatGPT, Claude) to optimize SQL queries, troubleshoot Python scripts, validate insights, and streamline project documentation</p><p></p>
Sales Data Analysis Project
<p>• Analyzed 525,000+ real sales records to identify top products and revenue patterns</p><p>• Used python ( Pandas, NumPy, Matplotlib) for data cleaning, analysis, and visualization</p><p>• Created charts showing product performance, country-wise sales, and market trends</p><p>• Used ChatGPT to optimize SQL queries, validate analysis, and improve reporting workflow</p>