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AI Engineer with less than a year in Cloud Computing & Data Analytics
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Computer Science undergraduate with experience in Artificial Intelligence, Cloud Computing, Data Analytics, and ERP-based Database Development. Skilled in Python, SQL, PL/SQL, IBM Cloud, Power BI, and building real-world AI solutions. Completed internships focusing on ERP systems optimization, database development, AI, and Cloud Computing.
Raj Kumar Goel Institute of Technology
Bachelor of Technology · Computer Science (AI/ML)
August 1, 2022 – July 1, 2026
Unknown
Higher Secondary Certificate (ICSE)
April 1, 2021 – March 1, 2022
Edunet Foundation (AICTE Collaboration)
AI & Cloud Intern
May 1, 2026 – June 1, 2026
India
Eastern Software Solutions Pvt. Ltd.
Software Trainee
March 1, 2026 – June 1, 2026
India
Global Malnutrition Trends - Power BI Dashboard
June 1, 2026 – Present
Analyzed 36 years (1983–2019) of global malnutrition data sourced from WHO and UNICEF. Designed a fully interactive Power BI dashboard enabling region-wise and year-wise analysis. Applied data validation and visualization best practices to deliver actionable insights.
Foot Measurement Web Application
June 1, 2026 – Present
Built a Python-based application using image processing and computer vision. Implemented OpenCV algorithms for foot boundary detection, dimension calculation, and automatic shoe-size recommendation. Added data calibration, perspective correction, and noise reduction to improve measurement reliability.
Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
Career Edge – Young Professional
TCS ION
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML and data-related fields, aligning well with an AI Engineer role. The diversity of projects (data analysis, computer vision, cloud AI agent) and internships (ERP, AI/Cloud) indicates a proactive learning attitude and willingness to explore different technical domains. This breadth suggests adaptability and a potential for growth within a dynamic technical environment. However, the experience level is very junior, which might require significant mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from data analysis to AI application development. The internship experiences suggest a capacity for structured learning and contributing to defined tasks. However, the resume does not provide sufficient information to assess soft skills like leadership, complex problem-solving under pressure, or advanced team collaboration beyond basic project contributions.