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Data Analyst with less than a year in Python, SQL, and Power BI
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 Computer Science graduate skilled in Python, SQL, data analysis, and visualization, with practical experience in real-world analytics projects. Passionate about leveraging data-driven insights through interactive dashboards to solve business and engineering problems.
APJ Abdul Kalam Technological University
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2026
Qspiders
Data Analytics
July 12, 2025 – November 27, 2025
Cochin, Kerala, India
Customer Churn Analysis
June 21, 2026 – Present
Identified churned and retained customers using transactional and usage data. Analyzed key churn drivers such as tenure, usage behavior, and customer spend. Delivered insights that helped prioritize high-risk customer segments and supported data-driven retention strategies.
SQL Business Analytics (E-commerce Data)
June 21, 2026 – Present
Analyzed e-commerce sales and customer data to answer key business questions. Wrote complex SQL queries using JOINs, CTEs, subqueries, CASE statements, and window functions. Performed customer ranking, revenue contribution analysis, and monthly sales trend analysis. Delivered insights that identified top revenue-generating customers and products, supporting data-driven business decisions.
Sales Analysis
June 21, 2026 – Present
Analyzed sales data to understand overall revenue and monthly sales trends. Calculated total sales, average order value, and product-wise performance using SQL queries. Identified best-selling products and low-performing categories to support business insights. Provided simple insights that helped understand sales patterns and product demand.
Certificate in Data Analytics – PySpiders
PySpiders
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation on Forage
Deloitte Australia
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in data analytics through personal projects, an internship, and certifications. The projects cover diverse areas like customer churn, e-commerce, and sales, indicating a broad interest in applying data analysis to different business problems. Participation in hackathons suggests a collaborative and proactive mindset. The educational background in Computer Science and Engineering provides a solid technical foundation. This aligns well with a data-driven culture that values continuous learning and practical application.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, and communication as soft skills. Project descriptions indicate an ability to analyze data and deliver insights, which aligns with the analytical and problem-solving aspects. The internship experience at Qspiders and hackathon participation suggest an ability to work in a structured environment and collaborate. However, without direct interview data, the depth of these soft skills and operational fit cannot be fully assessed.