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Data Analyst with less than a year in SQL & Python
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 data cleaning, exploratory data analysis, dashboard development, business reporting, and transforming raw data into actionable insights. Skilled in SQL, Python, Power BI, Excel, and Tableau with practical experience in managing datasets, visualization, and automation. Committed to analytical problem-solving, effective communication, and accuracy-focused reporting to convert data into meaningful business insights.
Jiwaji University
Master of Arts · Political Science
January 1, 2023 – January 1, 2025
Skilled Mentor
Data Analytics Intern
May 1, 2026 – June 1, 2026
India
50+ Data Analytics Projects
June 18, 2026 – Present
Completed 50+ data analytics projects using SQL, Python, Power BI, Excel, Tableau, data cleaning, visualization, and business reporting. Created dashboards, automated reports, performed EDA, and converted datasets into meaningful business insights.
Sales Data Analysis & Dashboard
June 18, 2026 – Present
Used Python, Excel, and Power BI for EDA, trend analysis, KPI tracking, and dashboard creation.
Student Grade Management System
June 18, 2026 – Present
Developed a Python-based record management system with JSON storage and automated calculations.
Deloitte Data Analytics Job Simulation Certificate
Forage
January 1, 2026 – Present
Advanced Excel Certificate
Office Master
January 1, 2026 – Present
Data Analyst + GenAI
CloudyML
January 1, 2026 – Present
Google Certified Data Analyst
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including 50+ personal projects and specific analyses like sales data and student grade management, demonstrates initiative and a strong interest in the field. The certifications further indicate a commitment to continuous learning. However, the academic background in Political Science and limited professional experience (internships only) suggest a career transition, which might require additional mentorship to fully integrate into a corporate data analytics culture. The lack of team-based project descriptions makes it difficult to assess collaboration style.
Soft Skills & Operational Fit
The candidate highlights analytical problem-solving, communication skills, and accuracy-focused reporting as core strengths. The project descriptions suggest an ability to convert data into business insights, which is crucial for operational fit in a data analyst role. However, the short duration of internships and lack of detailed team collaboration experiences limit the assessment of operational fit beyond individual task execution.