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Data Analyst with less than a year in SQL, Python, and Power BI for actionable business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, and MySQL. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, KPI reporting, and data visualization to generate actionable business insights. Experienced in analyzing customer behavior, sentiment analysis, churn analysis, and business performance metrics through real-world analytics projects. Strong analytical, problem-solving, and data storytelling abilities.
MACFAST College Tiruvalla
Master of Computer Application
August 1, 2023 – June 30, 2025
St Thomas College Kozhencherry
Bachelor of Science · Mathematics
August 1, 2020 – June 30, 2023
Decoding Zomato: Trends, Ratings & Customer Preferences
June 23, 2026 – Present
Cleaned and prepared data by handling missing values, removing duplicates, correcting data types, and creating derived features to enable accurate analysis. Performed city-level analysis and identified high restaurant concentration in major metropolitan areas, indicating greater market demand and competition. Analyzed rating patterns and pricing impact, finding ratings to be positively skewed (mostly 3.5-4.5) with premium restaurants receiving slightly higher ratings and online delivery contributing to improved customer satisfaction. Identified top 3 dominant cuisine categories contributing to over 60% of restaurant listings.
Airline Review Analysis
June 23, 2026 – Present
Analyzed airline customer reviews dataset to uncover patterns in passenger satisfaction. Performed data cleaning, preprocessing, and validation in Excel to ensure accuracy and consistency. Developed an interactive Power BI dashboard tracking 5+ KPIs including customer sentiment, delays, and service quality metrics. Applied descriptive and sentiment analysis techniques to identify common issues such as delays, seat comfort, and service quality. Delivered data-driven insights and recommendations to improve customer experience and operational efficiency.
E-Commerce Customer Churn Analysis
June 23, 2026 – Present
Analyzed e-commerce customer churn using historical transactional and behavioral data to identify key drivers of customer attrition. Examined customer attributes including tenure, payment preferences, satisfaction scores, and purchase behavior to understand churn patterns and retention risks. Performed data cleaning, preprocessing, and feature analysis to ensure data accuracy and reliability for churn analysis. Identified high-risk customer segments and behavioral trends contributing to churn, enabling targeted retention strategies. Delivered actionable insights to support data-driven decision-making aimed at improving customer satisfaction and long-term profitability.
Data Analytics
NSDC and Illinois Certification
June 1, 2026 – Present
Database Management System
NPTEL Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a good breadth of application areas (food delivery, e-commerce, airline reviews), suggesting adaptability and interest in diverse problem domains. The academic nature of all projects, however, indicates a lack of real-world industry experience, which might require more mentorship and integration into a professional team's workflow. The listed soft skills align well with a collaborative work environment.
Soft Skills & Operational Fit
The candidate explicitly lists soft skills such as Critical Thinking, Problem Solving, Attention to Detail, Communication, Team Collaboration, and Stakeholder Management. These are crucial for a Data Analyst role, indicating an awareness of the collaborative and communicative aspects of the job. The project descriptions also reflect an ability to deliver actionable insights, which is key for operational impact.