Diligent and detail-oriented Data Analyst driven by a fervent commitment to business success. Equipped with robust analytical, programming, and collaborative proficiencies, I am dedicated to harnessing data to conquer intricate challenges and propel organizational expansion. Eager to apply my adeptness in data analysis, processing, governance, and reporting to amplify data processing efficiency and precision, thereby fostering sustained growth and achievement.
Skillfully ensuring data integrity, I adeptly collected and organized diverse datasets, laying the groundwork for precise and reliable analyses. Utilizing SQL queries as a data manipulation catalyst, I orchestrated efficient data extraction and manipulation from databases, optimizing analytical procedures. Aiding cross-functional collaboration, I played a pivotal role in crafting compelling data visualizations and reports through Tableau and Power BI, effectively translating complex insights for non-technical stakeholders and driving data-driven decisions. My expertise in exploratory data analysis unveiled intricate patterns, outliers, and key relationships, fostering a deeper understanding of data dynamics. Furthermore, I elevated data quality through adept cleansing and pre-processing techniques, contributing to an elevated data ecosystem that underpins well-informed decision-making.
Tech Stack: Python, SQL, PowerBI, Tableau
Credit Card Fraud Detection
Engineered a Credit Card Fraud Detection system by implementing machine learning techniques. Conducted exploratory data analysis to uncover fraudulent transaction patterns. Developed and trained models including logistic regression, random forest, and XGBoost for precise fraud classification. Demonstrated proficiency in data analysis, machine learning, and data security.
Statistical Analysis and Visualization of Human Development Index
Conducted comprehensive statistical analysis and visualization of the Human Development Index (HDI) utilizing data from the World Data Bank. Employed diverse analytical methods including descriptive analysis, regression analysis, correlation analysis, and hypothesis testing to extract valuable insights and derive substantiated conclusions. Employed adept data visualization techniques to effectively communicate findings and highlight key trends, showcasing my proficiency in data analysis and presentation.
Analyzing Treatment Efficacy in Clinical Trial Data
Utilized PySpark and HiveQL for clinical trial data analysis, extracting treatment effectiveness insights. Ensured data integrity through preprocessing techniques. Conducted exploratory analysis, identified patterns, and proposed actionable recommendations.