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Data Analyst with less than a year in Data Cleaning & 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 Analyst with a strong foundation in SQL, Python, Excel, and Power BI. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
KMCT College of Engineering, Calicut
B.Tech · Computer Science and Engineering
N/A – June 30, 2025
Eduport
Payment Associate
February 1, 2026 – May 31, 2026
Kozhikode, Kerala, India
Luminar Technolab
Data Analyst Intern
July 1, 2025 – January 31, 2026
India
Customer Shopping Analysis
January 1, 2026 – January 31, 2026
Analyzed customer shopping behavior data using Python (Pandas) for data cleaning and preprocessing, and SQL for data extraction and querying. Designed an interactive Power BI dashboard to visualize purchasing patterns, customer segments, and key performance metrics, enabling data-driven business insights.
E-Commerce Sales Analysis Dashboard
December 1, 2025 – December 31, 2025
Analyzed e-commerce sales data over 1,000 rows using Python (Pandas) for data cleaning, validation, and transformation, and SQL for querying and aggregating structured datasets. Developed an interactive Power BI dashboard to track sales performance, revenue trends, top products, and customer behavior, supporting data-driven business decisions. Created KPIs and visual metrics such as total revenue, average order value, and product-wise performance to improve business insight and reporting accuracy.
Data Analyst Certificate – Luminar Technolab
Luminar Technolab
January 1, 2025 – Present
Data Analytics Certificate
Analyx Academy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience align well with a data-driven culture. The focus on practical application of data analysis tools and techniques, along with collaboration in defining KPIs, suggests a good fit for roles requiring analytical rigor and teamwork. The diversity of projects (e-commerce, customer shopping) indicates adaptability to different data domains. However, the experience is primarily academic and internship-based, so the ability to navigate complex corporate cultures is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates an ability to manage and update records accurately, monitor status, and prepare basic reports, indicating attention to detail and foundational operational skills. Collaboration with analysts and managers for KPI definition suggests a team-oriented approach. However, the resume does not provide sufficient information to assess advanced soft skills like leadership, complex problem-solving under pressure, or conflict resolution.