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Data Analyst with 2+ years in Data Analysis & Reporting
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Operations Coordinator with 2 years of hands-on experience turning operational data into actionable business insights. Proficient in Python, SQL, Power BI, and Excel — with a track record of building dashboards, automating reporting workflows, and driving measurable efficiency improvements. Holds a Computer Science degree and graduate certificates in Business Analytics and Project Management. Targeting Data Analyst, BI Analyst, and Operations Analyst roles.
Ontario, Canada
Graduate Certificate · Project Management
January 1, 2022 – December 31, 2023
Ontario, Canada
Graduate Certificate · Business Analytics
January 1, 2021 – December 31, 2022
Calicut University, India
Bachelor of Science · Computer Science
January 1, 2015 – December 31, 2018
McDonald's
Operations Coordinator | Data Analysis & Reporting
October 1, 2023 – March 31, 2026
Ontario, Canada
Luminar Technolab
Big Data Trainee Analytics & Documentation
January 1, 2019 – June 30, 2019
Kerala, India
Hospital Readmission Risk Analysis
June 1, 2026 – Present
Analysed a clinical patient dataset using Python (Pandas, NumPy) to identify key risk factors associated with 30-day hospital readmissions. Cleaned and pre-processed raw data — handling missing values, encoding categorical variables, and normalising features — preparing it for analysis. Built an interactive Power BI dashboard visualising readmission trends by department, age group, and diagnosis, enabling clinical teams to monitor high-risk patient segments. Delivered data-backed intervention recommendations in a clear business brief tailored for non-technical stakeholders.
Retail Sales Analysis Dashboard
June 1, 2026 – Present
Analysed a Superstore retail dataset using Python (Pandas) to explore sales, profitability, and discount patterns across product categories. Identified that heavy discounting in Furniture drove high sales volume but suppressed profit margins, with discounts not meaningfully lifting overall revenue. Built an interactive Power BI dashboard visualising KPIs including sales by category, profit trends, and discount impact, with actionable pricing recommendations for stakeholders.
Restaurant Operations Intelligence System
May 1, 2026 – Present
Designed a 5-table Star Schema (sales, labour, waste, inventory) by mapping real operational pain points to measurable data fields — enabling 3 defined business questions around labour efficiency, waste patterns, and sales-vs-target gaps. Authored a full project discovery document including data model design rationale, phase-by-phase roadmap, and technology stack justification — structured as a living requirements artifact. Defined functional requirements for a multi-phase analytics system spanning descriptive, diagnostic, and predictive analytics; produced Python data simulation specs to generate 12 months of realistic shift-level data with baked-in seasonal patterns.
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Advanced Excel for Business Analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from restaurant operations to hospital readmission analysis and retail sales, indicates a broad interest in applying data analytics across different domains. Their educational background in Business Analytics and Project Management, coupled with a Computer Science degree, shows a structured approach to learning and problem-solving. The McDonald's experience, while not purely technical, highlights an ability to work in a fast-paced, operational environment and drive tangible improvements, which suggests adaptability and a results-oriented mindset. The personal projects demonstrate initiative and a proactive approach to skill development, aligning well with a culture of continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and coordination skills, evidenced by their role as Operations Coordinator. They have experience in workflow management, standardizing data entry, and collaborating with cross-functional teams, which are crucial for operational fit. Their ability to translate business objectives into actionable data requirements and deliver clear recommendations indicates good communication and problem-solving skills.