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Data Analyst with less than a year in SQL, Excel, and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science student looking for a fresher Data Analyst position. Have basic knowledge of SQL, Excel, and data visualization through academic projects. Willing to learn and grow in a remote work environment.
Srinivasa Institute of Engineering and Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Aditya Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Ravindra Bharathi School
SSC (Class X)
June 1, 2020 – May 31, 2020
Courier Management Web Platform
January 1, 2025 – June 1, 2026
Tracked order and delivery data to support basic business reporting. Validated user inputs to maintain data quality before saving to the backend. Worked in a small team using Agile methods and maintained simple project documentation.
Fraud Detection System with Data Dashboard
January 1, 2024 – January 1, 2025
Cleaned and prepared raw transaction data by handling missing values and formatting issues. Used SQL to store and retrieve transaction records from a MySQL database. Built a simple dashboard showing fraud statistics and key metrics like Precision and Recall. Analyzed data patterns to compare two models and summarized findings in a report.
Python for Data Science
IBM Cognitive Class
June 1, 2026 – Present
Data Visualization: Empowering Business with Effective Insights
Forage
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in practical applications of data analysis, such as fraud detection and business reporting. The objective statement indicates a willingness to learn and grow, which aligns with a positive cultural fit for an entry-level position. The diversity of projects (fraud detection, courier management) and certifications (Python, Data Visualization) suggest a proactive approach to skill development. However, the limited scope and academic nature of projects mean the candidate's ability to adapt to diverse corporate cultures and complex business challenges is yet to be demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail, analytical thinking, and good documentation habits, which are beneficial for a data analyst role. Participation in a team using Agile methods suggests an ability to collaborate and follow structured development processes. However, the lack of professional experience means operational fit in a corporate environment is unproven.