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Data Science with less than a year in Python, SQL & data visualization
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with strong expertise in Python, SQL, and data visualization. Experienced in building dashboards, performing exploratory data analysis, and applying machine learning fundamentals to solve business problems. Skilled in transforming complex datasets into actionable insights that support strategic decision-making. Currently expanding into data science and product management with a strong analytical and business-driven mindset.
Madonna University
Bachelor of Science
August 1, 2020 – June 30, 2023
Sales Analytics Dashboard (Retail Dataset Project)
June 1, 2023 – June 1, 2026
Designed and developed an interactive sales dashboard to analyze revenue trends and product performance. Used SQL joins and aggregation queries to extract structured insights from relational datasets. Identified top-performing products and seasonal sales patterns to inform strategic business decisions. Improved data reporting efficiency by organizing raw data into structured, visual formats.
Data Visualization with Python
June 1, 2023 – June 1, 2026
Built professional-grade visualizations using Matplotlib and Seaborn to communicate business insights clearly. Applied data storytelling techniques to translate analytical findings into executive-friendly reports. Shared analytical insights publicly to demonstrate thought leadership and technical expertise.
Employee Salary Analysis (SQL Project)
June 1, 2023 – June 1, 2026
Queried employee and salary tables to identify highest and lowest earners using optimized SQL statements. Applied filtering, sorting, and limit functions to extract accurate results from large datasets. Demonstrated understanding of relational database structure and performance-focused querying.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical application of data analysis and visualization, which aligns with a results-oriented culture. The mention of sharing analytical insights publicly suggests a proactive and knowledge-sharing attitude. The academic projects indicate a foundational understanding of data science principles. However, the lack of professional experience or diverse project types beyond academic/personal limits the ability to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight 'Team Collaboration' and 'Presentation Skills' as technical skills, suggesting an awareness of the importance of communicating findings and working with others. The profile also mentions a 'business-driven mindset' and the ability to 'transform complex datasets into actionable insights that support strategic decision-making,' which are positive indicators for operational fit in a data science role.