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Data Science with 1+ years in Data Analytics & 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
Data Analytics professional with hands-on experience in Python, SQL, Power BI, and Excel for data analysis, visualization, and reporting. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, and generating actionable business insights. Experienced in transforming complex datasets into meaningful reports and supporting data-driven decision-making through analytical and problem-solving skills.
MG University
Master's · Computer Science
August 1, 2023 – June 30, 2025
LUMINAR TECHNOLAB
DATA SCIENCE INTERN
July 1, 2025 – March 1, 2026
Kalamassery, Kerala, India
Swiggy Data Analytics Dashboard
June 23, 2026 – Present
• Developed an interactive Power BI dashboard to analyze food delivery operations, customer behavior, and revenue trends. • Performed data cleaning, preprocessing, and exploratory data analysis using Python and SQL.. • Visualized key business metrics including order volume, delivery performance, customer retention, and revenue growth. • Identified peak ordering periods and high-performing restaurants through trend analysis. • Generated actionable insights to support business decision-making.
View ProjectLoan Approval Prediction System
June 23, 2026 – Present
• Analyzed customer loan application data to identify factors affecting loan approval decisions. • Performed data preprocessing, feature engineering, and exploratory data analysis. • Built predictive models and evaluated performance using standard metrics. • Developed dashboards for monitoring loan approval patterns and applicant features.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse data analysis applications, from food delivery operations to financial loan predictions. The listed skills cover a broad range of data science tools and techniques, suggesting adaptability and a willingness to learn. The internship experience indicates an ability to work in a structured environment. The target role of 'Data Science' aligns well with the candidate's stated profile and project experience, indicating a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, communication, collaboration, and decision-making as soft skills. These are crucial for a Data Science role, indicating a good operational fit for team-based analytical projects. The project descriptions show an ability to translate data into actionable insights, which is a key operational requirement.