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Data Engineer with less than a year in ETL/ELT Pipelines & Azure Data Factory
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Engineer and AI/ML fresher with 4 months of hands-on internship experience at Rysun Labs building ETL/ELT pipelines using Azure Data Factory (ADF) and Medallion Architecture (Bronze-Silver-Gold). Skilled in Python, SQL, SQL Server, Power BI, and FastAPI. Delivered measurable impact: 40% faster query response and 30% reduction in pipeline failures. Pursuing M.Sc in AI & ML from Gujarat University. Strong collaborator with hands-on project experience in deep learning and data visualization.
Gujarat University
M.Sc · Artificial Intelligence & Machine Learning
August 1, 2024 – Present
Gujarat University
B.Sc IT · Data Management and Visual Insight
August 1, 2021 – June 30, 2024
Rysun Labs Private Limited
Data Engineer Intern
January 1, 2026 – Present
Ahmedabad, Gujarat, India
Skin Cancer Classification
December 1, 2024 – June 1, 2025
Built and trained CNN deep learning models for automated skin cancer detection using dermoscopic images, implementing preprocessing, augmentation, and evaluation pipelines. Achieved 20% diagnostic improvement; model evaluated on accuracy, precision, and recall metrics.
Stock Market Analytics Dashboard
December 1, 2023 – June 1, 2024
Built interactive dashboard for real-time and historical stock analysis; applied ML regression for price prediction integrated with Power BI and Tableau for business reporting.
Microsoft Azure Data Fundamentals (DP-900)
Unknown
January 1, 2026 – Present
Tata Data Visualisation: Empowering Business with Effective Insights
Forage
July 1, 2025 – Present
Tata GenAI Powered Data Analytics - Financial Services
Forage
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects in Skin Cancer Classification and Stock Market Analytics Dashboard show a diverse interest in applying data science and machine learning, which aligns with an innovative and data-driven culture. Their current internship as a Data Engineer Intern directly aligns with the target role, indicating a clear career path and commitment. The certifications in Data Visualization and GenAI also suggest a proactive approach to learning and skill development, which is a positive cultural indicator. However, the experience is limited to an internship, which might require more mentorship in a fast-paced environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, as evidenced by their work on schema drift and late-arriving data, and developing Python utilities to reduce pipeline failures. Their experience in cross-functional collaboration and use of Git for version control indicates good team collaboration and operational fit. The resume also lists 'Team Collaboration', 'Problem Solving', 'Time Management', and 'Quick Learner' as soft skills.