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Data Analyst with 1+ years in Python, Power BI, and SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ashwin Mathew Zachariah is an aspiring Data Analyst with 1.0 year of post-graduation experience, specializing in data visualization, programming, and statistical analysis. Proficient in tools like Microsoft Power BI, Advanced Excel, Python (Pandas, NumPy, Matplotlib, Seaborn), PostgreSQL, and MySQL. Demonstrated ability to clean, transform, and interpret data to derive actionable insights, as showcased in various projects including Airbnb Listing Analysis and Fantasy Football Analyzer.
APJ Abdul Kalam Technological University (Amal Jyothi College of Engineering (Autonomous))
Bachelor of Technology · Computer Science and Engineering
November 1, 2021 – June 1, 2025
Walmart Sales Analysis
June 1, 2025 – June 1, 2026
Cleaned, standardized, and loaded Walmart retail data into PostgreSQL for structured querying and trend analysis. Executed SQL queries to analyze branch performance, payment preferences, peak hours, and high-margin product categories.
BlinkIT Sales Analysis
June 1, 2025 – June 1, 2026
Designed an interactive Power BI dashboard with a fact-dimension model, dynamic KPI selector, and visuals for sales, ratings, item visibility, and outlet trends. Identified key insights such as Tier-3 outlet dominance, visibility-driven sales, and strong performance from outlets established in 2018.
Store Sales Report
June 1, 2025 – June 1, 2026
Cleaned sales data by correcting gender and quantity fields, and engineered new columns (Month, Age Group) for better segmentation. Built an Excel dashboard using Pivot Tables, Pivot Charts, and Slicers to analyze demographic trends, monthly revenue patterns, and product performance.
Airbnb Listing Analysis
June 1, 2025 – June 1, 2026
Performed EDA on 20,000+ NYC Airbnb listings, cleaning and transforming data to analyze pricing, availability, and neighborhood trends. Created visual insights using plots and heatmaps to identify high-value locations and help optimize host pricing strategies.
Fantasy Football Analyzer
June 1, 2025 – June 1, 2026
Developed an interactive web app to validate and score fantasy teams, implementing automated formation, club-cap, and budget checks. Built dynamic visual dashboards using Plotly to compare user teams with optimal lineups and highlight key performance gaps.
SQL (Basic)
HackerRank
June 1, 2026 – Present
Python Data Analytics with Power BI
Luminar Technolab
June 1, 2026 – Present
Career Essentials in Data Analysis
Microsoft and LinkedIn
June 1, 2026 – Present
The Joy of Computing using Python
Indian Institute of Technology, Madras
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest in data analysis, with diverse projects covering sales, retail, and real estate domains. This breadth of application, combined with a focus on practical problem-solving, aligns well with a data-driven culture. The personal projects demonstrate initiative and a passion for the field, which are positive indicators for cultural fit in a dynamic environment. However, the lack of team-based projects or professional experience limits the assessment of collaboration and interpersonal skills.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work independently on data analysis tasks, focusing on problem-solving and delivering actionable insights. The variety of tools used implies adaptability. However, without direct work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or communication in a team setting.