Data Analyst with less than a year in Python, SQL, and Power BI for data-driven decision-making.
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 Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, Excel, and data analytics. Skilled in data cleaning, data visualization, exploratory data analysis (EDA), dashboard creation, and KPI reporting. Strong ability to analyze complex datasets, uncover trends, and deliver actionable insights to support business decisions. Eager to apply analytical and problem-solving skills in a dynamic data-driven environment.
Sri Manakula Vinayagar Engineering College
Bachelor of Technology (B.Tech) · Information Technology
November 1, 2021 – May 1, 2025
E-commerce Sales Dashboard – Power BI
June 1, 2026 – Present
Designed and developed an interactive dashboard analyzing 10,000+ sales records to identify revenue trends, customer behavior, and regional performance for strategic decision-making. Performed data cleaning and transformation using Power Query, and created DAX measures to track KPIs such as Total Sales, Profit Margin, Growth Rate, Average Order Value, and Category Performance.
Patient & Hospital Management Analytics - Power BI
June 1, 2026 – Present
Developed a Hospital Management Dashboard using Power BI by analyzing patient records, doctor availability, appointment details, and hospital performance metrics to improve operational efficiency and healthcare reporting. Created interactive Power BI dashboards with KPIs, slicers, and visualizations to monitor patient count, department-wise cases, case manager performance, patient waiting time, and appointment trends for operational analysis and decision-making.
Coffee Shop Sales Analysis using SQL & Power BI
June 1, 2026 – Present
Performed Coffee Shop Sales Analysis using SQL and Power BI by analyzing transactional sales data to identify revenue trends, peak sales hours, customer purchasing behavior, and top-selling products for business decision-making. Utilized advanced SQL concepts including JOINs, CTEs, Window Functions, GROUP BY, and aggregate functions while developing interactive Power BI dashboards with KPIs, filters, and visual reports to track sales performance and business insights.
SQL Certification
Scaler
June 1, 2026 – Present
Python For Data Analysis
Infosys Springboard
June 1, 2026 – Present
AWS Cloud Practitioner Essentials
Amazon Web Services
June 1, 2026 – Present
Computer Network and Internet Protocol
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce, healthcare, coffee shop sales) indicates an ability to apply data analysis skills across different industries, suggesting adaptability. The focus on personal projects, while valuable for skill demonstration, means there is no direct experience in a team-based professional environment, which is a key aspect of cultural fit in many organizations. The certifications show a commitment to continuous learning, which aligns with a growth-oriented culture. However, the lack of professional experience limits the assessment of collaboration and workplace dynamics.
Soft Skills & Operational Fit
The candidate lists soft skills such as Quick Learner, Adaptability, Creativity, Time Management, and Problem Solving. These are valuable for a data analyst role, indicating a proactive and analytical mindset. However, without specific examples or behavioral assessments, the depth of these skills cannot be fully validated. The project descriptions suggest an ability to translate business requirements into analytical solutions, which is a positive operational fit.