Junior data analyst, passionate about data, Knowledgeable in data analysis and its processes Beginning with asking questions about the data, passing through data wrangling, ending with answering questions about the data with data visualization and answering questions about the data helping in decision making, using python libraries and SQL for exploring the data, Power BI, and Tableau for visualization and statistical analysis to help decision-makers.
Summary
Work Experience
We Data
Business Intelligence and Data Warehouse Specialist
April 2022 - Now
Projects
Analyze A/B Results
Data Analyst
For this project, I'll be analyzing the outcomes of an A/B test conducted by an e-commerce website. The purpose is to work through this notebook to help the organization decide whether they should deploy the new page, keep the old page, or run the experiment for a longer period of time before making a choice.
Query a Digital Music Store Database
Query a Digital Music Store Database (chinook_db)
Investigate TMDB-movies Dataset
looked for the necessary assess with panda’s methods to make the data more realistic, followed by cleaning the data from null values using pandas’ methods, finally visualization stage to answer questions about data.
Skills
Technical
- Programming Languages including Python, and Java.
- Visualizations tools including Power BI, and Tableau.
- Database including SQL Server.
- ETL tools including SSIS, SSAS, and SSRS.
- Knowledgeable in inferential statistics including hypothesis testing, A/B Testing.
- Aware of cloud technologies including Google BigQuery
Concepts
- Machine Learning
- Data Warehouse and Data Modeling
- ETL
- Data Structures and Algorithms
- Database Concepts
- OOP
Education
Faculty of computer and artificial intelligence
Computer science - Bachelor
2017 - 2021
Courses and Certificates
Advanced data analysis nanodegree
Udacity
https://confirm.udacity.com/UZ53GENK
- Advance my programming skills and refine my ability to work with messy, complex datasets.
- I learned to manipulate and prepare data for analysis and create visualizations for data exploration.
- Finally, I learned to use my data skills to tell a story with data.