About
Data Scientist with a strong foundation in computer science and hands-on experience in data science, machine learning, and analytics. Proficient in Python, SQL and R Programming, with experience building predictive models, performing exploratory data analysis, and developing interactive dashboards using Power BI. Experienced in translating complex data into actionable business. Adept at working with cross-functional teams, ensuring data quality, and leveraging AI tools, web development, and digital analytics to support data-driven decision-making in fast-paced environments.
Skills & Expertise (36)
Work Experience
Freelance Web & Digital Analyst
Self-Employed
Sep 2025 - Present
Designed and developed responsive websites using WordPress and modern web tools, focusing on usability and performance. Managed Facebook and Instagram campaigns with Buffer for content planning and scheduling, tracked likes and comments, and grew follower count while boosting post engagement. Created Instagram visuals and captions in Canva, analyzed platform insights, and adjusted the content strategy, leading to higher post engagement. Worked directly with clients to gather requirements, deliver solutions, and provide ongoing support. Analyzed website traffic and user behavior with Google Analytics and SQL, visualized trends in Power BI, and recommended changes that improved campaign performance.
Data Analyst
Kenz Innovations
Jun 2024 - Aug 2025
Collected, cleaned, and analyzed datasets to support business insights and reporting. Developed and maintained dashboards with Power BI, enhancing visualization of performance metrics for strategic decision-making. Collaborated with internal teams to understand analytical requirements and applied a proactive attitude, delivering actionable insights that informed business strategies. Identified trends, correlations, and business opportunities using statistical analysis with Pandas and machine learning techniques. Ensured data accuracy, consistency, and integrity across all analytical reports, which improved overall data reliability for decision-making.
Data Science Intern
Pantech E-learning
Jun 2023 - Jun 2023
Cleaned, transformed, and analyzed real-world datasets using Python (Pandas, NumPy). Performed exploratory data analysis to identify trends and insights using visualizations. Implemented basic machine learning models including regression, decision trees, and clustering. Built dashboards and visual reports using Tableau and Python libraries. Collaborated on team projects to solve industry-focused data problems.
Education
B.Eng. – Computer Science Engineering – Data Science - Osmania University
- · Afghanistan
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