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Data Analyst with less than a year in Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Electronics and Communication Engineering graduate with knowledge of Python, SQL, Data Structures, and Data Analytics fundamentals. Skilled in data analysis, problem-solving, and machine learning concepts through academic projects and certifications. Seeking an entry-level Data Analyst role to transform data into actionable insights and support business decision-making.
CMR College of Engineering & Technology
Bachelor of Technology · E.C.E.
August 1, 2022 – June 30, 2026
Resonance Junior College of Science
Intermediate · MPC
June 1, 2020 – May 31, 2022
Sai Merit High School
SSC
June 1, 2019 – May 31, 2020
Fractal Dimension and Asymmetry - Based Disease Detection
June 1, 2026 – Present
The main aim of this project is to detect retinal eye diseases at an early stage using fundus images. It extracts Fractal Dimension and Asymmetry features to identify abnormalities in retinal blood vessels. The system provides fast, accurate, and low-cost disease detection using an SVM classifier.
Safety System for Electricians
June 1, 2026 – Present
This project is designed to improve the safety of electricians during maintenance work. It uses a password-based circuit breaker system to prevent unauthorized switching of power lines. This helps reduce electrical accidents and ensures that only authorized persons can control the power supply.
Introduction to Modern AI
Cisco Networking Academy
June 1, 2026 – Present
Introduction to Data Science
Cisco Networking Academy
June 1, 2026 – Present
Networking Basics
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in E.C.E. with a focus on data-related certifications and projects aligns with a technical, analytical culture. The projects, though academic, show an interest in applying technical skills to solve real-world problems (disease detection, safety systems). However, without professional experience or more diverse project types, it's difficult to fully assess cultural fit beyond a basic alignment with a data-driven environment. The target role of Data Analyst is a reasonable aspiration given the foundational skills and certifications.
Soft Skills & Operational Fit
The candidate lists problem-solving, quick learning, team collaboration, and communication skills as strengths. While these are valuable, there is no empirical evidence from the provided data (e.g., completed tests, work experience) to validate these claims. The academic projects suggest some level of problem-solving and potentially collaboration, but the operational fit for a professional environment remains unproven.