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Data Analyst with less than a year in SQL, Power BI, and Python for data-driven insights.
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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 SQL, Power BI, Excel and Python for building KPI-driven dashboards, scorecards, and analytical reports. Strong background in data cleaning, automation of reports, and translating business problems into structured, data-driven insights.
SD College Alappuzha (University of Kerala)
Bachelors of Science · Physics
August 1, 2021 – June 30, 2024
Luminar Technolab
Data Analyst Trainee
July 1, 2025 – January 1, 2026
Cochin, Kerala, India
Supply Chain Sales and Shipment Report
June 24, 2026 – Present
• Performed extensive data cleaning in Python, resolving character-encoding inconsistencies in country names and standardizing categorical fields. • Designed SQL dimensional models (fact and dimension tables) using PostgreSQL for reporting. • Built KPI-driven Power BI dashboards to analyze sales, profit, shipment delays, and delivery risk.
View ProjectLife Expectancy Dashboard
June 24, 2026 – Present
• Built an Excel-based Life Expectancy Dashboard using Pivot Tables, formulas, and KPI summaries for Life Expectancy trend and mortality rate analysis.
Sales & Customer Analytics
June 24, 2026 – Present
• Analyzed multi-year (2016-2021) sales, product, and customer data using advanced SQL. • Built time-series analyses including monthly sales, cumulative sales, YoY comparison, and rolling averages. • Performed product profitability and Pareto (80/20) analysis to identify high-revenue, low-margin products. • Analyzed customer behavior including repeat vs one-time customers and demographic contribution.
View ProjectFlight Delay Analytics
June 24, 2026 – Present
• Cleaned and transformed airline data using Python (Pandas) for analysis readiness. • Analyzed 5.8 million record airline flight data to identify delay trends by route, airport, time, and carrier. • Built interactive Power BI reports with KPIs for on-time performance and high-risk delays.
View ProjectPython Data Analytics with Power BI
NATCET
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering supply chain, sales, customer, and flight delay analytics, indicates adaptability and a broad interest in applying data analysis across different domains. The use of various tools (SQL, Python, Power BI, Excel) suggests a willingness to learn and utilize different technologies. The personal projects and internship align well with a data-driven culture, focusing on practical application and problem-solving. However, the lack of team-based project descriptions or collaborative experiences makes it difficult to fully assess cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate demonstrates a strong operational fit for a Data Analyst role, evidenced by practical project experience in end-to-end data analysis, reporting automation, and data storytelling. The focus on KPI-driven dashboards and business recommendations indicates an understanding of translating technical work into business value. While direct soft skill assessment is limited, the project descriptions imply problem-solving and analytical thinking.