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Data Analyst with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with a strong foundation in Python, SQL, Statistics, Data Cleaning, Exploratory Data Analysis, and Data Visualization. Skilled in transforming raw datasets into meaningful insights through data preprocessing, analytical techniques, and interactive dashboards. Experienced in handling real-world datasets, identifying patterns, improving data quality, and presenting business-driven insights. Passionate about solving business problems through data-driven decision-making.
St. Xavier's College
B.Com · Commerce
January 1, 2021 – January 1, 2023
Online Food Delivery Data Analysis
May 1, 2026 – June 30, 2026
• Performed end-to-end data cleaning and preprocessing on an online food delivery dataset to improve data quality and analysis readiness. • Handled missing values and inconsistent records; applied advanced probabilistic imputation to recover a critical business column with 90% missing values. • Conducted EDA to identify customer behavior, order trends, delivery performance, and restaurant-level insights. • Created interactive visualizations to analyze business metrics and generate actionable insights; prepared structured dataset for dashboard development.
Earthquake Data Analysis Dashboard
May 1, 2026 – June 30, 2026
• Extracted earthquake data from the USGS platform and performed full data engineering: collection, cleaning, transformation, and preparation. • Analyzed earthquake patterns based on magnitude, depth, location, and occurrence trends. • Developed an interactive Streamlit dashboard with dynamic filtering and generated insights on frequency, intensity distribution, and geographic patterns.
View ProjectData Scientist Certification
GUVI, Chennai
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a clear alignment with the target role of Data Analyst, focusing on data cleaning, analysis, and visualization. The diversity of projects (food delivery, earthquake data) shows adaptability and a broad interest in applying data analysis across different domains. The self-based nature of projects indicates initiative and self-learning capabilities, which are positive indicators for cultural fit in a dynamic environment. The listed skills are highly relevant to the target role, suggesting a good fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate raw data into actionable insights. The focus on business-driven insights suggests an operational fit for roles requiring practical application of data analysis. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.