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Data Analyst with 3+ years in SQL, Python & 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-driven Data Analyst with hands-on experience in SQL, Python (Pandas, NumPy), Power BI, and Excel. Proven ability to clean, transform, and model complex datasets to deliver actionable business insights. Skilled in building KPI dashboards with DAX and Power Query, performing end-to-end Exploratory Data Analysis (EDA), and translating data into clear visualizations. Brings a sharp eye for data quality and a track record of cross-functional reporting that drives decisions.
Sree Narayana Guru Institute of Science & Technology
MBA · Finance and HR
August 1, 2018 – June 30, 2020
MES T O Abdulla Memorial College Kunnukara
B.Com · Marketing
August 1, 2014 – June 30, 2017
Luminar Technolabs
Data Analyst Internship
August 1, 2025 – February 1, 2026
India
Southern Greenfarming & Multistate Co-operative Society
Administrative Executive
September 1, 2022 – Present
India
HR Attrition Analysis
June 19, 2026 – Present
Designed an end-to-end Power BI dashboard to analyze employee attrition drivers. Performed data cleaning and transformation using Power Query, built calculated measures with DAX, and modeled relationships across HR tables. Identified key attrition factors by department, tenure, and role, enabling HR teams to target retention interventions.
Swiggy Sales Analysis
June 19, 2026 – Present
Built a dynamic Excel dashboard to analyze Swiggy sales performance. Cleaned and structured raw order data, applied Pivot Tables and VLOOKUP formulas, and created charts to visualize revenue trends, order volumes, and top-performing food categories, delivering actionable insights for business optimization.
Air Quality Index Analysis
June 19, 2026 – Present
Developed a Power BI dashboard to monitor AQI trends, pollutant concentrations, and seasonal variation across multiple cities. Performed EDA on environmental datasets, applied filters and slicers for interactive drill-down, and surfaced critical air quality patterns to support data-driven environmental reporting.
Cultural Fit Analysis
The candidate's project diversity (HR, Sales, Environmental) indicates a broad interest in applying data analysis across different domains. The target role of Data Analyst aligns well with the skills and experience demonstrated in projects and the internship. The MBA in Finance and HR, combined with a B.Com in Marketing, suggests a business-oriented mindset which is beneficial for understanding business context in data analysis. The current role as an Administrative Executive, while not directly technical, shows a commitment to structured work and data handling, which can contribute positively to cultural fit in a data-driven environment.
Soft Skills & Operational Fit
The candidate's experience as an Administrative Executive suggests transferable skills in data accuracy, audit readiness, and structured data handling. The project descriptions indicate an ability to translate business problems into data solutions and present findings clearly, which are crucial for operational fit in a data analyst role. However, direct evidence of collaboration or stress handling is not explicitly provided.