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Data Analyst with less than a year in SQL, Python, Power BI, and Tableau.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Data Analyst with hands-on experience turning messy data into clear, actionable insights. I work confidently with SQL, Python, Excel, Power BI, and Tableau from cleaning raw datasets to building dashboards that help teams make better decisions. I'm looking for a role where I can dig into real business problems and contribute from day one.
Bharat Sevak Samaj
Diploma in Computer Applications
August 1, 2023 – June 30, 2023
University of Calicut
Bachelor of Computer Applications
August 1, 2022 – June 30, 2025
McDonald's SALES ANALYSIS
June 1, 2025 – June 1, 2026
Analysed McDonald's sales data across 7 South American countries, tracking $2,543.9M actual vs $3,000M target and $890.4M profit to identify monthly growth patterns and performance gaps across 2021-22. Built an interactive Excel dashboard with 3 KPI rings (85% sales, 89% profit, 87% customer attainment), a 12-month trend line, and a geographic map ranking Argentina ($953.3M) vs Chile ($253.6M) as top and lowest markets. Evaluated customer satisfaction across 5 dimensions: Availability (95%), Hygiene (93%), Quality (86%), Speed (54%), Service (53%) pinpointing Speed and Service as the key underperformers impacting overall experience.
View ProjectSUPERSTORE SALES ANALYSIS
June 1, 2025 – June 1, 2026
Analysed multi-year Superstore sales data (2020-2024) across 4 regions and 17 sub-categories, identifying West as the top region at $110,799 and Central as the lowest at $39,865, a 2.8x regional performance gap. Built an interactive Tableau dashboard with a monthly sales trend line, bubble chart by sub-category, regional pie chart, and a geographic map covering US and Canada sales ranging from $920 to $138,641 across territories. Identified Phones ($330K) and Chairs ($340K) as the highest revenue sub-categories while flagging Fasteners and Labels as near-zero performers, giving a clear view of where product focus and inventory decisions should be directed.
View ProjectCUSTOMER SALES BEHAVIOR ANALYSIS
June 1, 2025 – June 1, 2026
Analysed 3,900 customer records across 18 variables using Python and MySQL, identifying that Clothing drove 45% of total revenue ($104K) while 73% of customers remained non-subscribers. Built an interactive Power BI dashboard with KPI cards, seasonal trends, and category breakdowns, transforming raw shopping behaviour data into a self-serve reporting tool for business stakeholders. Discovered middle-aged customers contributed the highest revenue at $89.4K and flagged that 43% of transactions relied on discounts, surfacing a margin risk and key retention opportunity for decision-makers.
View ProjectData analytics Job Simulation Virtual
Forage (Deloitte Australia)
January 1, 2026 – Present
Getting Started with Data
IBM Skills Build
January 1, 2026 – Present
Advanced Data Analytics with AI
Haris&Co Academy
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis skills. The diversity of tools used (Excel, Power BI, Tableau, Python, MySQL) and the focus on business-oriented outcomes (sales, profit, customer satisfaction) suggest a results-driven mindset. The certifications further indicate a commitment to continuous learning, which aligns well with a growth-oriented culture. However, all projects are academic, limiting insight into collaboration within a professional team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable business insights, suggesting good problem-solving and analytical thinking. The focus on interactive dashboards implies an understanding of stakeholder needs and communication of findings. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, teamwork, or stress handling capabilities.