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Data Analyst with less than a year in data analysis and visualization.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech graduate in Computer Science & Engineering (AI&ML) with a solid understanding of machine learning concepts. Proficiency in data analysis and visualization to convert raw data into meaningful insights. Skilled at transforming raw information into strategic business intelligence.
Geethanjali Institute of Science & Technology
B.Tech · Computer Science & Engineering (AI&ML)
August 1, 2021 – June 30, 2025
Cravita Technologies
Data Analyst Intern
July 1, 2025 – December 1, 2025
India
Telecom Analytics
January 1, 2025 – December 1, 2025
Analyzed 10,000+ telecom customer records using SQL, Python, Tableau to identify usage patterns and complaint trends. Cleaned and integrated multiple datasets including customer, network usage, network issues, billing data using SQL joins. Performed exploratory data analysis and built an interactive tableau dashboard.
Customer Revenue Risk & Retention Analytics
January 1, 2025 – December 1, 2025
Analysed 5000+ e-commerce revenue, returns, delivery delays, and repeat customer behaviour. Data cleaned using pandas, identified high risk customers and generated insights related to delivery ineffeciencies, payment related risks.
Data Analysis & Decision making
NPTEL
June 1, 2026 – Present
Deloitte data analytics job simulation certificate
Deloitte
June 1, 2026 – Present
Gen AI study jams
Google developer student clubs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI&ML, coupled with certifications in Data Analysis and Gen AI, indicates a proactive learning attitude and an interest in emerging technologies. The diversity of tools and techniques used across projects (SQL, Python, Tableau, PowerBI, Excel) suggests adaptability and a willingness to explore different solutions. The academic projects and internship align well with a data-driven culture, demonstrating an ability to contribute to analytical tasks. However, the experience is primarily academic and internship-based, so the fit within a fast-paced, senior-level corporate environment would need further validation.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work with diverse datasets and translate raw data into business insights. The academic background in Computer Science & Engineering (AI&ML) indicates a foundational understanding of analytical problem-solving. However, without specific behavioral assessment data, it is difficult to fully assess soft skills like teamwork, communication, and stress handling beyond what is implied by project collaboration.