Analyzed consumer complaints dataset where it has 1400+ complaints from different companies with their issues, dates when complaints are logged and resolution period from which state, complaints are logged from multiple mediums.
- Data manipulation using functions
- Worked with dates data (calculated resolution time , categorization dataset into qtr. 3: Reporting - Create a report (Summarize the data at Company level)
- total number of complaints
- the timely response
- complaints disputed
- Average delay
- Interactive Dashboard - showed KPIs, proportion complaints by different products, month seasonality, pareto analysis.
Reporting & Analysis · Excel Dashboards · Microsoft Excel
I'm an aspiring Data Analyst with a strong foundation in data manipulation and statistical analysis. I thrive on uncovering insights that drive decisions and am passionate about learning.
As a Data Analyst, I specialize in transforming raw data into clear, impactful insights using Python, SQL, and visualization tools like Matplotlib and Power BI. My educational background includes a Post Graduate Diploma in Business Administration in Finance, and I'm currently pursuing a Data Science program at AnalytixLabs.
My technical skills encompass Python, SQL, Statsmodel, and various statistical techniques, with a focus on machine learning libraries like Scikit-Learn and TensorFlow. I'm dedicated to turning data into compelling stories that influence business outcomes.
