About
Detail-oriented Data Analyst with 1.5+ years of experience collecting, cleaning, and analyzing data from multiple sources to deliver actionable insights for business decision-making. Proficient in SQL, Excel (Pivot Tables, VLOOKUP, advanced functions), Python (Pandas, NumPy), and data visualization tools (Power BI, Tableau) to create reports, dashboards, and performance metrics. Proven ability to work independently in remote environments, collaborate with cross-functional teams, maintain data accuracy and integrity, and support ad-hoc analysis requests. Strong analytical and problem-solving skills with a focus on identifying trends, patterns, and business opportunities.
Skills & Expertise (16)
Work Experience
Data Analyst Intern
Innomatics Research Lab
Dec 2023 - Feb 2024
Collected and cleaned large delivery datasets from multiple sources, performing exploratory data analysis (EDA) using Excel (Pivot Tables, VLOOKUP, data validation) and Python (Pandas, NumPy) to identify patterns and improve data reliability. Performed data analysis to identify trends in delivery times, operational efficiency, and geographic patterns, supporting business stakeholders with actionable insights for process improvement. Built and evaluated regression models for delivery time prediction using Python and scikit-learn, applying data preprocessing and feature engineering techniques to improve model accuracy, tracking experiments with MLflow on AWS. Created interactive dashboards and visual reports using Power BI and Tableau to summarize key business metrics and KPIs (on-time delivery rate, average delivery time, regional performance) for management review.
Data Analyst
StableLab
Aug 2024 - Present
Developed a library of reusable SQL utilities and automated reporting queries, reducing custom report turnaround time from 3 days to 4 hours (67% improvement) and enabling self-service analytics for cross-functional teams. Created an automated color-coding and labeling system for data visualizations using Python, reducing executive reporting time by 40% and improving dashboard accessibility for non-technical stakeholders. Utilized Excel (Pivot Tables, VLOOKUP, conditional formatting) alongside SQL and Python to perform exploratory data analysis, validate data accuracy, and create summary reports before pipeline automation. Collaborated with business and technical teams to understand data requirements and deliver ad-hoc analysis requests, including weekly and monthly performance reports with actionable insights.
Education
Master of Science (Data Science) - Loyola Academy
2022 - 2024 · Afghanistan
Bachelor of Science (Mathematics, Statistics, Computer Science) - Loyola Academy
2019 - 2022 · Afghanistan
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