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Aspiring Data Analyst with strong SQL, Power BI & data visualization skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year IT student specialising in Software Development and Data Analysis, with hands-on experience in SQL data cleaning, PostgreSQL, Power BI, and C#. Certified Data Analyst Associate (DataCamp, 2026). Passionate about translating complex data into clear, actionable business insights that support evidence-based decision-making. Actively pursuing Microsoft DP-900 and PL-300 certifications to deepen expertise in cloud data and business intelligence.
Central University of Technology (CUT)
Diploma in Information Technology · Software Development
N/A – June 30, 2026
SQL Data Cleaning & Customer Analysis
January 1, 2026 – June 1, 2026
End-to-end data analysis project using a 2,240-record real-world customer dataset (Kaggle). Imported raw CSV data into a staging table, then cleaned and standardised date formats, income values, education levels, and marital status fields using PostgreSQL. Performed 8 analytical queries covering income by education, top spenders, campaign response rates, complaint analysis, age segmentation, and spending category breakdowns. Identified that Wine is the #1 spending category and PhD holders earn the most — translating findings into actionable business recommendations. Building a Power BI dashboard to visualise key customer insights for non-technical stakeholders.
DataCamp FoodYum Grocery Sales Analysis
January 1, 2026 – June 1, 2026
Practical examination project for the DataCamp Data Analyst Associate certification. Analysed retail sales data for a fictional grocery company, applying SQL to clean non-standard missing values and ensure data accuracy and integrity across reporting. Resolved complex PostgreSQL type-casting challenges, demonstrating understanding of data quality principles and data structure. Delivered findings aligned to business decision-making requirements within a structured DataLab environment.
Excel Sales Dashboard
January 1, 2026 – June 1, 2026
End-to-end sales analytics dashboard built in Microsoft Excel using a real-world retail dataset spanning 2014-2017. Analysed 9,994 orders across product categories, regions, and customer segments using 6 Pivot Tables and 4 interactive charts with dynamic slicers (Category, Region, Segment). Identified key business insights: Technology was the highest-selling category at $836,000+; Tables had negative profit — the biggest loss-maker; West region led all regions in sales. Built KPI cards surfacing Total Sales ($2.3M), Total Profit ($286K), and Total Orders for at-a-glance executive reporting. Revealed a consistent upward sales trend from 2014 to 2017 peaking in Q4, enabling data-driven forecasting recommendations.
Data Analyst Associate
DataCamp
June 1, 2026 – Present
Data Literacy Certification
DataCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data analysis skills across different scenarios (customer analysis, retail sales, grocery sales). Their pursuit of multiple certifications and a diploma in IT with a specialization in software development indicates a strong drive for continuous learning and self-improvement, which aligns well with a growth-oriented culture. The explicit mention of translating findings into actionable business recommendations suggests a results-oriented mindset. However, the lack of collaborative projects or team-based experience in the provided data limits the assessment of their direct cultural fit in a team setting.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and skill development, as shown by their ongoing certifications and academic projects. Their project descriptions highlight an ability to work with real-world datasets and translate technical findings into business insights, which is crucial for an Associate Data Analyst role. The focus on data cleaning and validation suggests an attention to detail. However, without professional experience, their operational fit in a corporate environment regarding teamwork, stakeholder management, and project delivery timelines is unproven.