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Data Analyst with less than a year in Python, SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, and Tableau. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, data visualization, and reporting. Demonstrated ability in transforming raw data into actionable insights through real-world projects. Passionate about solving business problems using data-driven decision making with strong analytical and problem-solving abilities.
Govt. College of Technology, Rahim Yar Khan (RYK)
DAE · Mechanical Technology
August 1, 2022 – June 30, 2025
Telecom Customer Churn Analysis
January 1, 2026 – June 1, 2026
Performed end-to-end Exploratory Data Analysis (EDA) on a telecom customer churn dataset using Python and Pandas. Cleaned and preprocessed raw data; identified key churn drivers through visualizations using Matplotlib and Seaborn. Created insightful charts, heatmaps and statistical summaries to present findings clearly. Exported polished PDF report and published complete project on GitHub for portfolio.
View ProjectGoogle Data Analytics Professional Certificate
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project on 'Telecom Customer Churn Analysis' demonstrates initiative and a practical application of learned skills. The pursuit of a professional certificate and a personal project indicates a self-starter attitude and a willingness to learn and apply knowledge. The breadth of tools listed (SQL, Python, Tableau, Power BI, Excel) suggests adaptability and a desire to acquire diverse technical capabilities relevant to data analysis roles. The candidate's background in Mechanical Technology, while not directly related to data analysis, shows a foundation in technical problem-solving, which can be a positive for cultural fit in a data-driven environment.
Soft Skills & Operational Fit
The candidate highlights analytical thinking and problem-solving as additional skills. The project description indicates an ability to present findings clearly and publish work, suggesting good operational fit for data analysis tasks. However, without specific psychometric or English test scores, a deeper assessment of soft skills and operational fit is limited.