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Data Analyst with less than a year in Power BI, Excel, Tableau, and SQL for business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking an opportunity to apply my expertise in Data Analytics and AI within an innovative environment that fosters growth and impactful solutions.
Amrita School of Arts and Science, Kochi
MSc · Applied Statistics and Data Analytics
August 1, 2022 – June 30, 2024
M.S.M College Kayamkulam, University of Kerala
BSc · Statistics
August 1, 2019 – June 30, 2022
N.R.P.M Higher Secondary School
XII · State Board
June 1, 2017 – May 31, 2019
Angels Arc Senior Secondary School
X · C.B.S.E
June 1, 2016 – May 31, 2017
IDatalytics Pvt
Data Analyst Intern
January 1, 2025 – May 1, 2025
India
Credit Card Fraud Detection
January 1, 2024 – January 1, 2024
Built a fraud detection model using CNN and Autoencoders. Applied techniques to highly imbalanced financial datasets for fraud identification.
A statistical study on production of major crops in India.
January 1, 2022 – January 1, 2022
Explore the application of Trend Analysis and Anova to analyse agricultural trends.
Power BI
Simplilearn
June 1, 2026 – Present
Python for Data Analysis
Infosys Springboard
June 1, 2026 – Present
Participated in the Research Week Program on Data Analysis with Python, Computer Vision, and Pattern Recognition
Amrita School of Arts and Science, Kochi Campus
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in data analysis applications, from agricultural trends to financial fraud detection, which indicates adaptability. The internship experience aligns well with the target role of Data Analyst, showing a clear career path. The combination of statistical theory and practical tool usage suggests a balanced approach to problem-solving. The academic nature of most projects, however, means there's less insight into collaboration within a corporate environment.
Soft Skills & Operational Fit
The candidate lists 'Time Management, Team worker, Leadership Quality' as interpersonal skills. While these are positive attributes, there is no specific evidence or examples in the provided data to assess their operational fit or how these skills are applied in a professional context. The academic projects and internship suggest an ability to work on defined tasks, but collaboration and leadership aspects are not detailed.