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Data Analyst Intern with less than a year in Python, 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
Data Analyst with hands-on experience in Python, SQL, and Power BI, focused on automated data solutions and actionable business insights for financial and customer datasets. Strong foundation in ETL pipelines, data visualization, and analytics delivery in collaborative environments.
PDA College of Engineering
Bachelor of Engineering · Electronics and Communication
August 1, 2022 – June 30, 2026
N.V. Polytechnic
Diploma · Electronics and Communication Engineering
August 1, 2018 – June 30, 2021
Mobisy Technologies (Bizom)
Data Analyst Intern
July 1, 2025 – October 1, 2025
Bengaluru, Karnataka, India
Digital Advertising Performance Analytics
June 28, 2026 – Present
• Built automated ETL data pipelines reducing daily data processing time from 4 hours to 45 minutes • Developed Power BI dashboards tracking 15+ KPIs, translating campaign data into actionable insights that improved decision-making efficiency by 25% • Analyzed ad campaign performance data, resulting in a 30% reduction in inefficient ad spend • Established data quality control protocols, reducing data discrepancies by 40% and ad-hoc queries by 50%
Bank Loan Portfolio & Risk Analytics
June 28, 2026 – Present
• Analyzed customer loan repayment patterns using SQL queries and advanced analytics, identifying high-risk segments responsible for 85% of late payments • Built a comprehensive collections funnel dashboard in Power BI, enabling data-driven recovery strategies that reduced collection delays by 18% • Performed cohort analysis on customer repayment behavior, providing insights that improved recovery rates by 22% • Implemented automated data validation checks, increasing dataset reliability to 95%
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across different domains (finance, advertising), suggesting adaptability. The internship experience aligns well with the target role of Data Analyst Intern, indicating a clear career interest. The breadth of technical skills listed (Python, SQL, Power BI, Git, Data Architecture) shows a commitment to developing a comprehensive data analytics toolkit. The academic background in Electronics and Communication, while not directly data-focused, indicates a strong analytical foundation.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration (e.g., "Collaborated with business stakeholders") and problem-solving (e.g., "identifying high-risk segments", "reducing inefficient ad spend"). The focus on automation and efficiency (e.g., "reduced manual data processing by 60%") suggests a proactive and results-oriented approach. The academic projects and internship experience indicate a structured approach to data analysis and a willingness to apply learned skills in practical scenarios.