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Data Analysts (Intern) with less than a year in Python, SQL, and Power BI.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in data cleaning, exploratory data analysis (EDA), and data visualization using Python, SQL, Excel, and Power BI. Proficient in Pandas, NumPy, Matplotlib, Seaborn, DAX, and Power Query. Demonstrated ability to build interactive dashboards, perform KPI tracking, and deliver actionable business insights from large datasets. Strong foundation in statistical analysis, data storytelling, and data-driven decision-making.
University of Calicut
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2026
Retail Store Sales Analytics & Insights
January 1, 2025 – Present
Conducted end-to-end Exploratory Data Analysis (EDA) on retail sales datasets with 10,000+ records, identifying top revenue-driving product categories and seasonal sales trends. Analyzed customer purchasing behavior and revenue drivers using Python and Pandas, delivering actionable recommendations for inventory optimization and sales strategy. Evaluated digital payment trends and discount strategy effectiveness using Python and Excel, uncovering behavioral patterns across multiple payment methods to improve promotional decisions. Built customer segmentation and outlier analysis models to classify premium customers and high-value transactions, enabling data-driven retention and growth strategies.
View ProjectAirline Review Analytics Dashboard
January 1, 2025 – Present
Designed and developed an interactive Airline Review Analytics Dashboard in Power BI, integrating 2,000+ passenger reviews to track satisfaction KPIs across routes, seat classes, and traveler types. Performed data cleaning and preprocessing in Excel by resolving missing values, removing duplicates, and standardizing categorical fields to ensure data accuracy and reporting reliability. Built dynamic Power BI reports featuring KPI cards, slicers, trend charts, and matrices to analyze passenger ratings by traveler type, seat class, aircraft, route, and year. Conducted customer sentiment and performance analysis on passenger feedback to identify key service quality factors influencing overall recommendation rates and satisfaction scores.
View ProjectData Analytics Certification
Illinois Tech, US (via Entri App)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a proactive approach to learning and applying data analytics skills. The diversity of projects (retail sales, airline reviews) indicates adaptability and a willingness to tackle different problem domains. Participation in a hackathon and leading a team project suggest a collaborative and driven individual, which aligns well with a dynamic work environment. However, the lack of professional experience and the intern target role suggest a need for mentorship and integration into a professional culture.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, critical thinking, team collaboration, and communication skills through project descriptions and extracurricular activities. Leading a team project and participating in a hackathon indicate an ability to work effectively in a team and under pressure. The detailed project descriptions suggest good communication of technical work.