Data Analyst with less than a year in Data Analysis & 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
Motivated professional with a strong foundation in data analysis, aiming to apply technical skills to generate meaningful insights and support data- driven decision-making. Proficient in SQL for database querying, Python for data processing and automation, and Excel for advanced modeling and visualization. Experienced in developing interactive dashboards using Tableau and Power BI to clearly communicate complex data. I am known for effective teamwork, clear communication, and collaborative problem-solving in project environments. Passionate about transforming raw data into actionable insights that contribute to organizational goals.
BLDEA's V.P. Dr. P.G. Halakatti College of Engineering & Technology
Master of Computer Applications · Computer Applications
March 1, 2022 – September 1, 2024
Vedant College
Bachelor of Computer Applications · Computer Applications
August 1, 2018 – May 1, 2021
AiVariant
Intern: Data Analyst
June 1, 2025 – September 1, 2025
India
Classification Of Sleep Stages Using EEG
June 23, 2026 – Present
* EEG Signals are effective for identifying different sleep stages (Wake, REM, N1,N2,N3). * Each Sleep Stages has unique brain wave patterns (delta, alpha, theta, beta). * Signal processing and feature extraction help in separating sleep stages accurately. * Machine learning models enable automated sleep stages classification. * Automated systems reduce manual effort and human error in sleep scoring. * EEG-based classification supports early detection of sleep disorders. * The approach improves sleep quality assessment and monitoring. * EEG based methods are reliable, efficient and scalable for clinical use.
Certified Data Analyst
Excelr
June 1, 2026 – Present
Privacy and Security in Online Social Media
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project on 'Classification Of Sleep Stages Using EEG' demonstrates an ability to apply data analysis and machine learning to a specific domain, indicating a problem-solving mindset. The listed skills are broad and relevant to a data analyst role, suggesting adaptability. The certifications further show a commitment to continuous learning. However, the lack of diverse project experience beyond a single academic project limits the assessment of cultural fit in varied team or business environments.
Soft Skills & Operational Fit
The candidate's summary highlights effective teamwork, clear communication, and collaborative problem-solving, which are positive indicators for operational fit. The academic project description is well-structured and clear, suggesting good communication skills. However, without direct assessment data for soft skills or psychometric evaluation, this remains an inference.