Detail-oriented Data Analyst and BS Data Science student with hands-on experience in data cleaning, preprocessing, and
exploratory analysis using Python and Pandas. Completed an internship at DecodeLabs building automated data-cleaning
pipelines and interactive dashboards. Skilled at transforming raw, inconsistent datasets into clean, structured, analysis-ready
data through statistically sound imputation, deduplication, and standardisation techniques.
PROJECTS :
Student Performance Analysis Dashboard | Personal Project
• Performed end-to-end data preprocessing and cleaning on student academic records using Python, Pandas, and NumPy.
• Handled missing values, removed duplicates, and standardised categorical fields to ensure data reliability.
• Analysed performance trends and built a dashboard to visualise key academic insights.
Retail Sales Analysis Dashboard | Personal Project
• Cleaned and preprocessed retail transaction data, applying systematic data-handling techniques to resolve inconsistencies.
• Used Pandas and NumPy for data wrangling, aggregation, and exploratory analysis of sales trends.
• Built a dashboard summarising sales performance to support data-driven business insights.
Core Competencies: Data Analytics, Data Preprocessing, Data Cleaning, Data Handling, Missing Value Imputation, Exploratory
Data Analysis (EDA)