Data Analyst with less than a year in Python & SQL
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience processing 5,000+ records and querying 10M+ data points using Python, SQL, Power BI, and Tableau. Skilled in data cleaning, EDA, and building interactive dashboards that reduce reporting effort by 30% and improve data accuracy by 25%. Strong foundation in statistics, machine learning, and data visualization with a focus on delivering actionable, data-driven insights.
Kannur University
Bachelor of Science
August 1, 2022 – June 30, 2025
IPSR Solutions Ltd.
Data Science Intern
February 1, 2026 – Present
Kozhikode, Kerala, India
NIRF Data Research & Analysis
June 1, 2026 – Present
Automated dataset cleaning with Python, saving 40 hrs/month, improving reporting accuracy by 25%, and analyzing Teaching, Research, and Graduation Outcomes metrics for institutional performance evaluation.
Interactive Dashboard Development
June 1, 2026 – Present
Built Excel dashboards tracking operational KPIs, adopted by 20+ team members across 15 teams for real-time analytics.
Python Data Analysis Project
June 1, 2026 – Present
Standardized datasets from 3 sources using Pandas/NumPy, reducing ML model training time by 20% and boosting customer retention by 15%.
Sales Data Analysis Project
June 1, 2026 – Present
Designed SQL queries and Tableau dashboards to analyze sales trends, improving conversion rates by 15% and reducing reporting time by 40%.
Google Data Analytics Certificate
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive and self-driven approach to learning and applying data analysis skills. The Google Data Analytics Certificate further shows a commitment to professional development. The diversity of projects (NIRF data, sales data, operational KPIs) indicates adaptability and a broad interest in applying data analysis across different domains. The mention of stakeholder reporting and communication as a core skill suggests an understanding of the collaborative nature of data roles.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to improve efficiency (e.g., saving 40 hrs/month, reducing reporting time by 40%) and accuracy (improving reporting accuracy by 25%, data accuracy by ~20%), indicating a results-oriented approach. The development of dashboards adopted by 20+ team members suggests good stakeholder communication and collaboration potential. The professional summary emphasizes a focus on delivering actionable, data-driven insights, which aligns well with operational needs.