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Data Engineer with 4+ years in Data Science & AI/ML
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 Engineer with a strong foundation in Data Science, Python, SQL, and data pipeline concepts. Hands-on experience through internships and projects involving data analysis, machine learning, and ETL workflows. Familiar with Snowflake concepts, DBT modeling practices, GitHub version control, and modern data engineering tools. Seeking an opportunity to contribute to scalable data solutions and analytics platforms.
Jawaharlal Nehru Technological University Kakinada (JNTUK)
Bachelor of Engineering · Computer Science and Engineering
June 1, 2020 – May 1, 2024
Codegnan IT Solutions
Data Science & AI/ML Intern
June 1, 2020 – May 1, 2024
Hyderābād, Telangana, India
ETL Data Pipeline with Python & SQL
June 14, 2026 – Present
• Built a data pipeline to extract, transform, and load structured datasets using Python and SQL. • Implemented automated scripts for data cleaning and transformation.
View ProjectSales Data Analytics Dashboard
June 14, 2026 – Present
• Processed large datasets and generated insights using Pandas and visualization tools. • Created dashboards for business decision-making.
View ProjectMachine Learning Prediction System
June 14, 2026 – Present
• Developed predictive models using Scikit-learn. • Evaluated model performance and optimized accuracy.
View ProjectData Science & Artificial Intelligence Internship
Codegnan IT Solutions
June 1, 2026 – Present
Java Programming Internship
SkillDzire
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interest in data engineering, data analysis, and machine learning, which aligns well with a dynamic data-focused environment. The internship experience and personal projects show initiative and a proactive approach to learning and applying new technologies. The mention of 'seeking an opportunity to contribute to scalable data solutions and analytics platforms' indicates alignment with growth-oriented roles. However, the experience is primarily academic and internship-based, which might require mentorship in a fast-paced corporate culture.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with mentors and documentation of workflows, suggesting an ability to work in a team and maintain organized processes. The project descriptions are clear, indicating good communication of technical work. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.