About
Detail-oriented Data Analyst with 1 year of internship experience transforming complex datasets into actionable business intelligence using Python, SQL, Power BI, Excel, and statistical analysis. Proficient in data cleaning, EDA, data wrangling, dashboard development, and predictive analytics using Pandas, NumPy, and Scikit-learn. Delivered analytical reports and interactive dashboards that supported data-driven strategic decisions across customer behavior, credit risk, and HR analytics domains. Strong communicator skilled in data storytelling and translating analytical insights into measurable business outcomes.
Skills & Expertise (39)
Work Experience
Data Science Intern
INSPIREOTECH
Mar 2025 - Feb 2026
Performed large-scale data analysis, cleaning, transformation, and preprocessing using Python (Pandas, NumPy), SQL, and Excel across multiple business datasets, improving data pipeline efficiency by 30%. Conducted exploratory data analysis (EDA) and statistical analysis to identify business trends, customer spending patterns, and performance metrics, delivering actionable insights to stakeholders. Developed interactive Power BI dashboards and analytical Excel reports for credit risk, customer behavior, and HR analytics, enabling data-driven strategic decisions across business units. Built and evaluated predictive ML models (Logistic Regression, Random Forest, XGBoost) achieving 92% accuracy; supported business forecasting and customer segmentation use cases. Performed A/B testing and hypothesis testing to validate business assumptions; prepared comprehensive analysis reports with visualizations using Matplotlib and Seaborn. Collaborated cross-functionally with business teams to define KPIs, design metrics frameworks, and automate recurring analytical reporting using Python and SQL workflows.
Education
Bachelor of Engineering – Computer Science Engineering - Pavai College of Technology, Anna University
2020 - 2024 · Afghanistan
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Skills (39)
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