Superstore Sales Analysis
Summary
Developed a comprehensive sales analysis leveraging SQLite, focusing on retail sales performance, customer segmentation, and regional trends.
Entry-level Data Analyst pursuing a Master's in Data Analytics (expected Jan 2026), leveraging strong foundational skills in SQL, Python, Power BI, and Tableau. Proven ability to transform complex datasets into actionable insights through hands-on projects in retail, healthcare, and predictive analytics. Committed to collaborating with teams to solve business problems and deliver clear, impactful data visualizations that drive informed decision-making and business value.
Data Analytics Intern
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Summary
Led data collection, analysis, and visualization efforts to enhance social media campaign performance and content strategy.
Highlights
Streamlined data collection and cleaning processes for social media engagement, ensuring data integrity for comprehensive campaign reporting.
Developed interactive Power BI dashboards to monitor post-performance and audience engagement, providing real-time insights for optimization.
Delivered data-driven insights to the marketing team, directly influencing content strategy and optimizing future campaign effectiveness.
Human Resources Manager
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Summary
Managed comprehensive HR operations, including recruitment, employee relations, training, and compliance, driving significant improvements in efficiency and satisfaction.
Highlights
Directed annual recruitment, interviewing, and onboarding for over 50 associates, decreasing time-to-hire by 20% while upholding high staffing quality standards.
Arbitrated associate relations, successfully resolving 95% of internal conflicts and elevating overall employee satisfaction scores by 15%.
Administered training programs, benefits enrollment, and payroll support, boosting training completion rates by 25% and cutting payroll errors by 30%.
Collaborated with store management on HR initiatives and scheduling, enhancing schedule accuracy by 18% and ensuring 100% compliance with labor regulations.
Bachelor of Science
Computer Information Systems
Courses
Database Design
Systems Analysis
Business Intelligence
Programming in Python and R
Data Structures
Project Management
Information Systems Security
Master of Science
Data Analytics
Courses
Data Mining
Machine Learning
Predictive Analytics
Data Visualization (Power BI, Tableau)
Statistical Modeling
Big Data Analytics
Database Management (SQL)
Decision Analytics
SQL, SQLite, PostgreSQL, Python, Pandas, NumPy, R.
Power BI, Tableau, Matplotlib, Seaborn.
SQLite, PostgreSQL, MySQL.
Data Cleaning, Aggregations, Joins, Window Functions, Statistical Analysis, Predictive Modeling, Model Evaluation, Decision Trees, Business Insight Generation.
Excel, PivotTables, VLOOKUP, Git, scikit-learn.
Summary
Developed a comprehensive sales analysis leveraging SQLite, focusing on retail sales performance, customer segmentation, and regional trends.
Summary
Created an interactive Power BI dashboard to analyze factors linked to heart disease and support prevention strategies.
Summary
Built and validated a Random Forest model in Python to forecast machine failures and inform preventive maintenance strategies.