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Data Analyst with less than a year in SQL & 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
Results-oriented Data Analyst with expertise in SQL, Python, Power BI, and Excel. Skilled in data cleaning, exploratory data analysis (EDA), DAX, data visualization, and star schema modeling. Experienced in building interactive dashboards, KPI reports, and forecasting models for business insights. Seeking an entry-level Data Analyst role to apply analytical and problem-solving skills.
St. Stephen's College
MSc · Mathematics
August 1, 2020 – June 30, 2022
Luminar Technolab
Data Analyst Intern
October 1, 2025 – April 1, 2026
Cochin, Kerala, India
Vimala Hridhaya Convent School
Mathematics Teacher
June 1, 2023 – September 1, 2025
Kollam, Kerala, India
SHOPCO RETAIL – Sales Automation Analysis
June 23, 2026 – Present
Automated an end-to-end ETL pipeline using Python and PostgreSQL to process and validate multi-source retail data, improving data accuracy and scalability. Developed an interactive Power BI dashboard using advanced DAX calculations to monitor sales performance, profitability, and regional business trends. Identified 65.98% YoY revenue growth and a 24.35% decline in profit due to discounting strategies, while highlighting product concentration risk from laptops contributing 35.8% of total revenue.
Road Accident Analysis Dashboard
June 23, 2026 – Present
Designed and developed an interactive Power BI dashboard to analyze road accident trends across India, including high-risk locations, peak hours, and severity patterns for data-driven safety analysis. Identified peak accident periods during 9–11 AM and 5–7 PM, uncovering a 152% increase in accident frequency between 2023–2025, with risk scores increasing from 1.77 to 4.66. Implemented time series forecasting to project accident trends for 2026, estimating a severity index between 4.70-4.85 to support preventive safety planning.
Cultural Fit Analysis
The candidate's background in mathematics and teaching, combined with their recent pivot to data analysis, suggests adaptability and a strong learning orientation. The personal projects demonstrate initiative and a proactive approach to skill development. The blend of technical and soft skills indicates potential for positive team contributions and effective communication within a data-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills, which are crucial for a Data Analyst role. Their experience as a Mathematics Teacher also highlights leadership, collaboration, and presentation abilities, suggesting a good fit for team environments and stakeholder engagement. The project descriptions show a results-oriented approach.