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Data Analyst with less than a year in Python, SQL, and Power BI.
Computer Science (AI & ML) graduate with strong analytical and problem-solving skills, experienced in Python, SQL, Excel, Power BI, and data-driven application development. Skilled in data analysis, dashboard creation, reporting, and operational monitoring with hands-on experience in business-focused projects involving logistics tracking, sales analysis, and customer complaint analytics. Quick learner with strong attention to detail, communication skills.
Jyothishmathi Institute of Technology and Science
Bachelor of Technology
August 1, 2022 – June 30, 2026
Alphore's Junior College
Intermediate
N/A – May 31, 2022
Jyothishmathi St, Joseph's High School
Secondary School
N/A – May 31, 2020
E-Commerce Sales & Return Analysis Dashboard
June 1, 2026 – Present
Built a business analytics dashboard to analyze sales performance, customer demand, product returns, and category-wise revenue trends across multiple regions. Processed and cleaned raw datasets using Python and SQL, and developed Power BI visualizations to support reporting, forecasting, and data-driven decision-making
Logistics Delivery Performance Tracker
June 1, 2026 – Present
Developed a logistics tracking system to monitor delivery status, delayed shipments, failed deliveries, and regional performance metrics for operational analysis and SLA monitoring. Used Python and SQL for data processing and validation, and created interactive Power BI dashboards to generate business insights, KPI reports, and delivery trend analysis.
Introduction to MySQL
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a practical application of data analysis skills across different business domains (logistics, e-commerce), indicating adaptability. The stated interest in AI & ML, combined with data analysis skills, suggests a forward-thinking approach. The breadth of tools (Python, SQL, Power BI, Excel) aligns well with typical data analyst requirements, suggesting a good fit for data-driven environments. However, the lack of professional experience means cultural fit is primarily inferred from academic engagement and project diversity.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical and problem-solving skills, attention to detail, and communication skills. The project descriptions indicate an ability to translate raw data into business insights, which is crucial for a Data Analyst role. However, without completed psychometric or English tests, a comprehensive assessment of work attitude, stress handling, team collaboration, and communication clarity cannot be fully made.