Data Analyst with less than a year in Data Analysis & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a recent Bachelor's in Statistics graduate, I am an aspiring Data Analyst, Business Analyst, and ML Engineer with a strong foundation in data analysis, statistical methods, and programming languages like Python and R. My hands-on experience includes designing interactive dashboards in Power BI and performing data analysis for sales and predictive modeling, as demonstrated in my Amazon Product Sales Dashboard and Titanic Survivors Age Prediction projects. I am proficient in tools like Excel, Power BI, Python, SQL, and SPSS, continually expanding my skills through self-learning and practical application on real-world datasets.
University of Punjab (PU)
Bachelor's · Statistics
August 1, 2021 – June 30, 2025
Arch Technologies
Data Analyst Intern (Remote)
July 1, 2025 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Retail Sales Analysis Dashboard
June 1, 2026 – June 1, 2026
Created an interactive sales dashboard to analyze revenue, top products, and regional performance. Included dynamic filters and KPIs to support business decision-making.
Titanic Survivors Age Prediction Machine Learning
June 1, 2026 – June 1, 2026
Developed a Logistic Regression model to predict age groups with higher survival chances. Performed data preprocessing, feature selection, and visualized key survival patterns.
Complete Artificial Intelligence (Machine Learning/ Deep Learning)
ShellSift
March 1, 2026 – Present
Complete Data Analyst and Business Intelligence Course
PNY Trainings at ARFA Technology Park, Lahore
February 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics, coupled with certifications in Data Analysis, Business Intelligence, and AI/ML, aligns well with a data-driven culture. The personal projects and internship demonstrate initiative and a practical approach to problem-solving. The remote internship experience suggests adaptability to different work environments. However, the overall experience level is very junior, which might require significant mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's self-learning activities and project diversity suggest a proactive and adaptable individual. The internship experience, though brief, indicates an ability to apply learned skills in a professional setting. However, the lack of completed psychometric or English tests makes it difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.