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Associate Data Analyst with less than a year in Business Intelligence & Data Visualization
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Assessing your cultural and operational fit
Results-driven Data Analyst and Business Analyst with hands-on experience in data analysis, business intelligence, and data visualization across 5+ real-world projects. Proficient in Excel, Power BI, Python, and SQL Server for data cleaning, dashboard development, KPI reporting, and business performance analysis. Experienced in analyzing customer behavior, sales trends, profitability, and e-commerce analytics to generate actionable insights and improve business efficiency by 30%+. Skilled in ETL processes, data wrangling, statistical analysis, and data-driven storytelling to support strategic decision-making.
Tagore Institute of Engineering and Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Besant Technologies
Data Analyst Intern (Offline)
March 1, 2026 – Present
Salem, Tamil Nadu, India
Novi Tech
Data Analyst Intern (Online)
March 1, 2026 – Present
India
Prime Video Analytics Dashboard
September 1, 2025 – June 1, 2026
Built a comprehensive Power BI dashboard to analyze content trends across genres, ratings, countries, and release years via descriptive analytics. Utilized DAX and Power Query for data transformation, automated KPI tracking, and ad-hoc analysis to resolve complex business questions. Enhanced reporting features with geographic maps, custom filters, and distribution matrices to isolate market trends using cohort analysis and viewer segmentation.
IBM HR Analytics Dashboard
September 1, 2025 – June 1, 2026
Developed an HR analytics dashboard to analyze employee attrition, workforce performance, attendance, and engagement trends using exploratory data analysis (EDA) and statistical techniques. Performed data cleaning, validation, and analysis using Pivot Tables, advanced VLOOKUP formulas, and conditional formatting. Created daily, weekly, and monthly HR reports to monitor employee headcount and department-wise performance using Power Query data transformations while improving reporting efficiency by 40%. Analyzed employee retention patterns to identify high-attrition departments and customer satisfaction factors using root cause analysis.
Hospital Management System
September 1, 2025 – June 1, 2026
Designed and implemented a relational database structure using SQL to manage patient records, physician profiles, appointments, and billing data. Established optimized database tables, integrity constraints, primary keys, and foreign keys for structured operational data management. Authored complex SQL queries, multi-table JOINs, subqueries, and stored procedures for high-velocity data retrieval and quantitative analysis.
MS Excel for Data Analysts
Infosys Springboard
June 1, 2026 – Present
Introduction to Data Analytics
IBM
June 1, 2026 – Present
Foundations for Data Science
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational skill set in data analysis, aligning well with an Associate Data Analyst role. The diversity of projects (HR, video content, hospital management) shows adaptability and a broad understanding of how data analytics can be applied across different domains. Their certifications from IBM, Google, and Infosys Springboard indicate a commitment to continuous learning and professional development, which is a positive cultural fit for growth-oriented teams. The candidate's experience, though primarily academic and internship-based, shows a practical application of skills, suggesting a readiness to contribute to a professional environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and an ability to communicate complex data insights through narrative storytelling. Their project experience highlights attention to detail in data cleaning and validation, and a results-driven approach to improving reporting efficiency. The internships indicate a proactive and hands-on attitude towards learning and applying data analysis techniques in operational settings.