Muhammad Zohaib

Detail-oriented Data Analyst with hands-on experience turning raw data into clear, actionable insights. Skilled in SQL, Python (Pandas, NumPy), and data visualization (Matplotlib, Seaborn, Plotly) for data cleaning, exploratory analysis, and reporting.

Google Data

Analytics certified, with a track record of building end-to-end analysis workflows across healthcare, finance, and environmental datasets. Strong foundation in statistics, dashboarding, and translating findings into business-ready recommendations. Looking to apply analytical and problem-solving skills in an entry-level Data Analyst role.

Machine Learning Intern - Elevo Pathways - Remote

(2025-01)

• Cleaned, preprocessed, and analyzed multiple real-world datasets (student performance, loan applications, customer behavior) to surface actionable trends and support data-driven decisions.
• Performed exploratory data analysis (EDA) and feature engineering to identify key variables driving outcomes, then presented findings through clear visualizations.
• Applied segmentation analysis (K-Means, DBSCAN) to group customers by behavior, informing targeting insights.
• Analyzed time-series sales data to identify trends and support forecasting; built visual reports summarizing results.
• Tools: Python, Pandas, NumPy, SQL-style data manipulation, Matplotlib, Seaborn, GitHub.

Deep Learning Intern - Arch Technologies - Remote

(2025-01)

• Processed and analyzed large-scale image datasets (~186,000 records), performing data quality checks and preprocessing to ensure reliable model input.
• Evaluated model performance using accuracy and validation metrics, documenting results in structured reports for stakeholders.
• Collaborated on structuring and interpreting experiment results, translating technical output into clear summaries.

Bachelor of Computer Science - Computer Science - UET Peshawar, Jalozai Campus (2021-10 - 2025-06)

Intermediate (Pre-Engineering) - Pre-Engineering - GSMZ Secondary School, Peshawar, Pakistan (2019-01 - 2021-01)