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Data Analyst with less than a year in Power BI & SQL
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 hands-on experience in Power BI dashboard design, data modeling, and DAX-based calculations, complemented by strong SQL and Python skills. Delivered two end-to-end analytics projects — a City Traffic Accident Risk Prediction model and a Household Income & Expenditure Analysis — covering data cleaning, exploratory data analysis (EDA), predictive modeling, and interactive Power BI dashboard development. Skilled at translating business requirements into KPI dashboards, performance reports, and actionable visualizations that support data-driven decision-making, with a sharp eye for the so-what behind the numbers.
Nehru Arts and Science College, Coimbatore
Bachelor of Business Administration (BBA) · Computer Applications
August 1, 2022 – April 1, 2025
City Traffic Accident Risk Prediction Analysis
June 1, 2026 – Present
Defined KPIs and reporting requirements to identify high-risk zones and time-based accident patterns from city traffic accident data. Performed end-to-end data cleaning, preprocessing, and exploratory data analysis (EDA) using Python and SQL to ensure data accuracy and integrity. Built predictive models to estimate accident risk based on traffic density, location, and time, enabling proactive safety planning. Designed and published interactive Power BI dashboards using DAX measures and calculated columns, turning complex findings into actionable visuals (bar charts, heat maps, maps). Applied dashboard performance-tuning techniques, including data filtering and optimized data loading, to improve report responsiveness. Delivered analytical insights and summary reports to support traffic safety planning and risk mitigation strategies.
Household Income and Expenditure Analysis
June 1, 2026 – Present
Worked with available data sources to define specifications for KPI dashboards covering income distribution and spending pattern analysis. Performed end-to-end data cleaning, preprocessing, and transformation in SQL and Python to ensure data accuracy and consistency. Conducted exploratory data analysis to surface relationships between income levels, savings behavior, education, and expenditure categories. Developed interactive Power BI dashboards with DAX-based calculations and multiple visualization types (slicers, line charts, tree maps) to present regional and demographic financial trends. Translated dashboard findings into clear, data-backed financial insights and summary reports.
Python Programming
Unknown
June 1, 2026 – Present
SQL (Basic Course)
Unknown
June 1, 2026 – Present
Data Visualization using Power BI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on practical application of data analysis skills. The projects cover diverse domains (traffic safety, household finance), indicating adaptability and a broad interest in applying data analysis to different problems. The listed certifications and ongoing education suggest a proactive learning attitude. However, without professional experience, the cultural fit in a corporate team environment is difficult to fully ascertain.
Soft Skills & Operational Fit
The candidate highlights 'Stakeholder Communication', 'Cross-functional Collaboration', 'Problem Solving', 'Attention to Detail', and 'Excellent Written & Oral Communication' as core strengths. The project descriptions indicate an ability to deliver insights and reports, suggesting a foundational understanding of communicating analytical findings. However, without direct work experience or interview data, the practical application and effectiveness of these soft skills in a professional operational setting cannot be fully assessed.