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Data Analyst with less than a year in Data Visualization & Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with a Bachelor's in Economics, proficient in Python, SQL, Power BI, and Tableau. Skilled in transforming raw data into actionable insights, defining KPIs, and building interactive dashboards to support data-driven decisions. Proven ability to identify trends and optimize operational efficiency by 30%.
Queen Mary's College
BA - Bachelor's Of Economics · Economics
August 1, 2022 – June 30, 2025
ST. Theresa Girl's Hr. Sec. School
HSC
June 1, 2020 – May 31, 2022
Global Logistics & Supply Chain Optimization [Power BI]
June 1, 2026 – Present
Developed an interactive Power BI dashboard to analyze global supply chain efficiency, focusing on identifying bottlenecks and optimizing delivery timelines. Utilized advanced DAX measure and Power Query to create key performance indicators (KPIs) such as total shipping costs, average delivery time, and inventory turnover rations. Designed data-driven visualization and slicers to provide real-time insights into logistics performance, helping to improve operational forecasting and decision-making efficiency by 30-35%.
COVID-19 Global Labor Market Impact Analysis [Tableau]
June 1, 2026 – Present
Designed and developed an interactive Tableau dashboard to visualize the impact of COVID-19 on global employment rates, industry-wise layoffs, and labor market trends. Created complex visualizations including heat maps, trend lines, and geographic maps to identify regions and sectors most affected by the pandemic. Applied data cleaning and transformation techniques to large datasets, delivering insights that highlight at 20-25% shift in remote work adoption and labor force participation.
Data Analyst Certification Program
PUMO TECHNOVATION
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse analytical challenges, from supply chain optimization to global labor market analysis, indicating adaptability. The focus on creating interactive dashboards and delivering insights suggests a proactive approach to problem-solving. However, the candidate lacks professional work experience, which limits the ability to assess cultural fit in a team or corporate environment. The projects are personal, which is a good start, but real-world collaboration experience is missing.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach and a focus on transforming raw data into actionable insights. Project descriptions highlight an ability to identify trends and optimize operational efficiency, which are crucial for a Data Analyst role. The candidate's academic background in Economics suggests a foundational understanding of economic principles relevant to business analysis. However, without specific assessment scores for communication, logical reasoning, or teamwork, it's difficult to fully assess soft skills and operational fit beyond what's inferred from project descriptions.