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Data Engineer with 1+ years in ETL Pipeline Development & Data 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
Aspiring data professional with skills in Python, SQL, Power BI, ETL pipeline development, and data visualization. Eager to apply analytical and data engineering concepts to support business intelligence and data-driven decision-making.
Anna University
Bachelor of Technology (B.Tech) · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Jupiter Junior College
Higher Secondary Education
N/A – May 31, 2021
Antra
Data and Insights Intern
December 1, 2025 – April 1, 2026
Hyderābād, Telangana, India
Hospital Management Data Warehouse & Analytics System
December 1, 2025 – March 1, 2026
Designed normalized OLTP database schemas and data models for hospital management workflows. Generated synthetic healthcare datasets using Python while maintaining data consistency and relational integrity. Performed data cleaning, transformation, and validation as part of the ETL process. Developed ETL pipelines to transform OLTP data into OLAP models for reporting and analytics. Built interactive Power BI dashboards to analyze hospital performance and operational trends.
Breast Cancer Prediction
April 1, 2025 – April 1, 2025
Developed machine learning models for breast cancer prediction using supervised classification algorithms. Performed data preprocessing and hyperparameter tuning using GridSearchCV to improve model performance. Achieved over 93% accuracy in breast cancer prediction using classification models. Applied model evaluation techniques to compare algorithm performance and optimize prediction results.
Data Analyst Bootcamp (Beginner to Advanced)
Udemy
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a proactive approach to learning and applying data engineering and analysis skills. The 'Hospital Management Data Warehouse & Analytics System' project shows an interest in end-to-end data solutions, from schema design to visualization. The 'Breast Cancer Prediction' project indicates an interest in machine learning applications. The combination of academic rigor (B.Tech in Computer Science) and practical application (internship, projects, certification) suggests a good fit for a role that values continuous learning and hands-on problem-solving. The target role of Data Engineer aligns well with the candidate's demonstrated skills in ETL, data modeling, and database management.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, perform data cleaning and validation, and present findings through dashboards. The internship experience suggests a capacity for practical application of learned skills in a professional setting. However, without psychometric or English test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.