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Data Analyst with less than a year in Data Analytics & Visualization
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 Intern with foundational experience in data cleaning, transformation, and visualization using Python, SQL, and Power BI. Proficient in developing interactive dashboards and analyzing complex datasets to derive actionable insights. Completed practical projects in banking data analysis, focusing on order trends, category performance, and delivery KPIs, demonstrating strong analytical and problem-solving skills.
GITAM University
B.Tech · Computer Science Engineering (AI and ML)
August 1, 2022 – June 30, 2026
SKILLFIED
Data Analytics Intern
June 1, 2025 – July 31, 2025
India
Krutanic Solutions
Data Analyst Intern
May 1, 2025 – July 31, 2025
India
Zomato & Blinkit Sales Analysis Dashboard
May 1, 2025 – Present
Developed interactive Power BI dashboards integrating Zomato and Blinkit datasets to analyze order trends, category performance, and delivery KPIs. Processed and modeled 50,000+ transactional records using Power Query and DAX for data cleaning, seasonal trend analysis, and YoY growth calculations. Enhanced report interactivity and clarity through slicers, drill-through filters, and custom visualizations, delivering insights that optimized inventory planning and delivery strategies.
Bank Term Deposit Campaign Analysis
May 1, 2025 – Present
Analysed a bank marketing dataset to uncover key factors influencing customers' decisions to subscribe to term deposit schemes. Performed data cleaning, EDA, and feature analysis to explore patterns across customer demographics, campaign outcomes, and contact strategies.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse analytical challenges, from financial campaign analysis to e-commerce sales performance. The listed soft skills align with collaborative work environments. The academic background in Computer Science Engineering with AI/ML specialization, combined with practical data analysis internships, indicates a proactive learning attitude and a desire to apply technical skills, which generally contributes positively to cultural fit in data-driven organizations. However, the limited professional experience makes a deep assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate lists communication, team collaboration, problem-solving, and creative thinking as soft skills. Project descriptions indicate an ability to work on individual projects and contribute to data analysis tasks, suggesting a foundational operational fit for roles requiring independent work and analytical problem-solving. However, the internship experiences are relatively short, limiting the depth of assessment for sustained operational fit.