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Data Engineer with less than a year 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
Bachelor of Engineering · Computer Science and Engineering
June 1, 2020 – May 1, 2024
Codegnan IT Solutions
Data Science & AI/ML Intern
February 1, 2024 – May 31, 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 and internship experience show a clear alignment with data-centric roles, particularly Data Engineering and Data Science. The diversity of projects (ETL, analytics dashboard, ML system) indicates a broad interest within the data domain. The mention of Snowflake concepts, DBT modeling, and modern data engineering tools suggests an awareness of industry best practices, which is a positive indicator for cultural fit within a forward-thinking data team. However, the experience is primarily academic and internship-based, which might require mentorship to fully integrate into a professional team culture.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with mentors and documentation of workflows during their internship, suggesting an ability to work in a team and maintain organized processes. The project descriptions are clear, implying good communication skills in a technical context. However, without direct interaction or psychometric test results, a comprehensive assessment of soft skills and operational fit is limited.