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Data Analyst with less than a year in SQL, Python, Excel, 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
Data Analyst graduate skilled in SQL, Python, Excel, and Power BI with hands-on experience in data analysis, SQL reporting, and dashboard development. Strong foundation in transforming data into business insights through analytical and visualization techniques.
Ramco Institute of Technology
Bachelor of Technology · Information Technology
August 1, 2022 – June 30, 2026
Nadar Matric Higher Secondary School
Higher Secondary Education (HSE)
June 1, 2021 – May 31, 2022
IPL Match Analysis
June 1, 2025 – June 1, 2026
Analyzed match datasets to identify performance patterns and factors influencing match outcomes. Performed data cleaning, preprocessing, and exploratory data analysis to improve dataset quality and increase analytical reliability. Identified key match trends and generated insights through exploratory analysis. Conducted outcome analysis to uncover relationships between match events and overall performance results. Developed reusable Python functions that improved processing efficiency and reduced repetitive analytical tasks. Created visual reports and charts to communicate insights effectively and support data-driven interpretation.
View ProjectHospital Operations & Revenue Analysis
June 1, 2025 – June 1, 2026
Designed and implemented a relational healthcare database consisting of 6 interconnected tables to manage patient, doctor, appointment, billing, and medication records. Developed SQL queries to analyze hospital operations and generate performance reports. Applied advanced SQL concepts including Joins, Aggregations, Common Table Expressions (CTEs), and Window Functions to solve analytical use cases. Performed patient, doctor, and hospital performance analysis through appointment trends, workload tracking, and revenue reporting. Generated KPI reports to evaluate billing activity, treatment costs, and operational performance. Generated time-based analytics including monthly revenue trends, revenue growth analysis, ranking models, and cumulative performance tracking.
View ProjectSales Data Analysis Dashboard
June 1, 2025 – June 1, 2026
Analyzed retail sales data to identify regional performance patterns and category-level business trends. Evaluated regional sales trends to identify business opportunities and support performance analysis. Identified product category trends and generated insights to support business reporting and decision-making. Designed an interactive Excel dashboard to monitor sales performance, regional trends, and business KPIs. Automated reporting workflows using dynamic visualizations to improve reporting efficiency and support faster analysis.
Global Sales Performance & Operations Dashboard Solution
June 1, 2025 – June 1, 2026
Designed and developed Power BI dashboards by integrating multiple datasets for sales and operational analysis. Built KPI dashboards to monitor sales performance, business targets, and regional operational trends. Implemented automated alert indicators to identify performance gaps, return patterns, and operational exceptions. Developed DAX measures to calculate business metrics and evaluate return and delivery performance. Created interactive filtering and reporting features to improve dashboard usability and support faster decision-making.
View ProjectGoogle Data Analytics – Foundations: Data, Data, Everywhere
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are all academic, focusing on core data analysis tasks. This indicates a strong alignment with the technical requirements of a Data Analyst role. The diversity of projects (sales, hospital operations, sports) shows a breadth of application for their skills. However, the lack of professional experience or team-based projects limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured analytical tasks and communicate insights through reports and dashboards. The academic nature of projects suggests a foundational understanding of data analysis workflows. However, there is no direct evidence of collaboration, stress handling, or work attitude from the provided data.