Hello, I'm
Abdulqader
An Entry level Data Analytic ..
A recent graduate of Computer Science,
I have chosen Data analytics as my career path ...
Wanna know more?
About ME
About Me
Who is Abdulqader?
A data Analytic with a passion for translating complex datasets into clear, impactful business insights. Possess expertise in data acquisition, cleaning, manipulation, and visualization using SQL, Python, and Excel. Proven ability to identify key trends and patterns and translate data-driven insights into actionable recommendations fostering data-driven decision-making. Thrive in both collaborative and independent environments, adapting my approach to best suit project needs.
Education !
Bachelor's of computer Science,
King Khalid University 2017 – 2022
RESUME
Skills
Data technical skills
These skills are related to data: From data mining, to data processing/Analysing, and even data visualization.
Other technical skills
Other skills I possess:
From the web domain (Front/Back - End), and others
Professional Experience
2017 - 2022
Graduate
Graduate as a Computer Scientist in 2022 / 8 ..
2022 / 8 - 2023 / 9
Job Hunting Period
- Take a couple of free data analysis courses
- build a multiple data projects
- build a portfolio.
2023 / 9 - 2024 / 1
Data Analyst (Tamheer Training)
Water and Electricity regulatory authority
- Collect, clean, statistically analyze, identify, and interpret trends and patterns in over 150 small to medium datasets of customer complaints. Consistently achieve enhancements in analysis accuracy, identifying factors contributing to low levels of customer satisfaction.
- Developed and implemented three new data entry/data collection systems and methodologies, resulting in a 40% improvement in data quality.
- Skillfully design, develop, and maintain reports and dashboards utilizing reporting tools such as Power BI, Excel, PowerPoint, and Tableau, achieving notable enhancements in PowerPoint reports.
- Collaborated with media analysts and Media Monitoring Analysts to enhance data quality collection by 30%.
2024 / 1 - Present
Data Analyst
Water and Electricity regulatory authority
- Continued to fulfill the same responsibilities and duties in the new role, maintaining focus on the tasks previously trained.
- Developed multiple micro ETL processes to integrate various data sources, leading to a 60% reduction in data transfer errors and saving approximately 15 hours per week previously spent on manual data transformation.
- Built multiple fully interactive dashboards using Power BI to track Daily Key Performance Indicators (KPIs) and monitor the performance of the Information Center.
- Utilized Python libraries including Pandas, NumPy, Openpyxl, and Python-pptx to automate routine reports, resulting in a significant 80% reduction in report preparation time.
- Utilized Natural Language Processing (NLP) techniques and Regular Expressions (RE) to automate the extraction of critical information from unstructured text data. Implemented NLP-based entity recognition to identify entities such as locations and organizations, while employing custom regular expressions to extract various types of numeric data such as phone numbers and dates and others. This approach led to notable enhancements in data accuracy and extraction quality.
MyProjects
Hospital_wait_time_Project
Analyzed real hospital data to address complaints about excessive wait times. Utilized Python and implemented various algorithms to identify the root causes of delays. Prepared a comprehensive report for decision-makers, recommending measures to reduce wait times by 30% to 50%..
