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Data Engineer with less than a year in Python, SQL, and PySpark.
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Assessing your cultural and operational fit
Entry-level Software Engineer, Python Developer, Data Engineer, and Data Analyst with expertise in Python, SQL, Pandas, NumPy, and PySpark. Skilled in data analysis, ETL processes, database management, and application development. Strong analytical and problem-solving abilities with a passion for building data-driven solutions.
Vaageswari College of Engineering, Karimnagar
Bachelor of Technology · Electronics and Communication Engineering
N/A – June 30, 2025
Resume Analyzer
June 18, 2026 – Present
Developed a web-based Resume Analyzer using Python, Flask, SQLite, HTML, and CSS. Used SQLite database for storing user and resume data. Implemented PDF resume upload, text extraction, and resume feedback generation. Used parameterized queries (%s) to help prevent SQL Injection. Deployed the application online and managed source code using Git and GitHub. (Link: https://resume-analyzer-mbhs.onrender.com)
View ProjectCultural Fit Analysis
The candidate's project work, particularly the 'Resume Analyzer' and 'Data Engineer Intern' experience, shows initiative and a practical approach to problem-solving. The listed skills align with a data-centric role, indicating a potential fit for teams focused on data engineering and analysis. The breadth of technologies used (Python, Flask, PySpark, SQL) suggests adaptability and a willingness to learn diverse tools. However, the candidate is entry-level, and cultural fit would need further assessment through interviews.
Soft Skills & Operational Fit
The candidate's profile indicates strong analytical and problem-solving abilities, along with a passion for building data-driven solutions. The project descriptions are clear and concise, suggesting good communication skills. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.