Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 5

- [Google Play Store Dataset - Exploratory Data Analysis]
The analysis of the Google Playstore dataset which encompasses information on more than 100,000 apps using Python libraries such as Pandas,
NumPy, Matplotlib, Seaborn, and Opendatasets

- [Real Estate Web Scraping Project using Python libraries]
Extarcted from the website about 100 pages of data using BeautifulSoup library and creating Power BI visualization on basis of acquired data

- [COVID-19 Data Exploration using SQL]
Analysis of more than 500,000 rows of data using Microsoft SSMS system with implementation of 10+ SQL Commands

- [Call Centre Trends Analysis using Power BI Dashboard]
- Conducted data analysis by identifying patterns and trends within large datasets of beneficiary information, which boosted performance by 40%
- Implemented Excel spreadsheets to organize, manipulate, and visualize data through charts, graphs, and pivot tables, which cut down paperwork by 50%
- Built interactive dashboards and reports using Power BI to communicate complex data insights to non-technical stakeholders, which improved
productivity by 30%
- Developed 20+ SQL queries and Python libraries like Pandas and NumPy to extract, transform, and load data for analysis and perform statistical
analysis and visualization
- Extracted, transformed, and loaded data into the database system, monitored daily, and analyzed received data for errors before uploading into the system
- Created visualizations and reports using Power BI, which reduced the time spent on reporting by 20%
- Developed an Excel file that automatically updates required tables based on new data, increasing daily productivity by 30%
- Designed and implemented a new database schema that reduced query time by 40% and improved data accuracy by 25%; optimized data
retrieval process for team to streamline reporting and insights
- Trained and mentored 10+ employees on database usage and tasks resulting in increased efficiency and productivity for the team