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Aspiring Data Engineer with foundational understanding of Big Data concepts & Python programming.
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 foundational understanding of Big Data concepts, Python programming, and data processing techniques. Familiar with Apache Spark and Hadoop along with basic exposure to cloud platforms and Machine Learning. Motivated to learn quickly, adapt to emerging technologies, and contribute to Artificial Intelligence and data-driven projects while strengthening analytical and technical skills.
CGC University, Mohali, Punjab
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2027
Gurukul Senior Secondary School, Dharamshala
Senior Secondary Education
N/A – Present
Gurukul Senior Secondary School, Dharamshala
Secondary Education
N/A – Present
Big Data Analytics using Apache Spark
June 1, 2026 – Present
Engineered a data processing pipeline to analyze large datasets using Apache Spark, including cleaning, transformation, and exploratory analysis.
Machine Learning Based Data Analysis System
June 1, 2026 – Present
Developed ML analysis system including preprocessing, feature selection, predictive modeling, and evaluation.
AWS Generative AI
AWS Academy
June 1, 2026 – Present
Data Analytics (CompTIA Data+)
CompTIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications align with the target role of Data Engineer, showing a clear interest and foundational knowledge in the field. Participation in competitive programming and hackathons suggests a proactive and collaborative approach to learning and problem-solving, which can contribute positively to team culture. The breadth of skills, though foundational, covers relevant areas for a data engineering role. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates motivation to learn and adapt, as well as participation in collaborative events like workshops and hackathons, suggesting a team-oriented mindset. The competitive programming background indicates a drive for continuous skill development and problem-solving. However, without professional experience, the operational fit in a real-world engineering team is unproven.