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AI Engineer with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As an aspiring AI Engineer with 0.6 years of hands-on experience in Machine Learning, Data Analysis, and Deep Learning, I am currently pursuing a Bachelor of Technology in Computer Engineering. My expertise includes Python, SQL, Git & GitHub, and various AI/ML frameworks. I have a proven ability to conduct end-to-end data preparation, apply advanced analytical techniques like PCA, and develop AI-based systems for real-world problems, complemented by strong problem-solving and communication skills.
Vishwakarma University – Pune
Bachelor of Technology · Computer Engineering
August 1, 2022 – June 30, 2026
MIT Junior College - Pune
HSC · Science (PCM)
June 1, 2020 – May 31, 2022
MIT Vishwashanti Gurukul School
SSC
June 1, 2010 – May 31, 2020
Optimum Data Analytics Pvt. Ltd
Machine Learning Traniee
July 1, 2025 – January 1, 2026
Pune, Maharashtra, India
Violence Detection System using AI
June 1, 2026 – Present
Built an AI-based system for real-time detection of violent activities from video streams. Implemented computer vision models to identify suspicious or aggressive human behavior in surveillance footage. Developed a monitoring interface using Flask for visualizing alerts and detected events.
SAP Certified – Solution Architect – SAP BTP
SAP
June 1, 2026 – Present
Introduction to cloud
IBM Cognitive Class
June 1, 2026 – Present
Data Science101
IBM Cognitive Class
June 1, 2026 – Present
Data Analysis with Python
IBM Cognitive Class
June 1, 2026 – Present
SQL and relational databases
IBM Cognitive Class
June 1, 2026 – Present
Prompt Engineering
IBM Cognitive Class
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project on violence detection and internship experience in image similarity demonstrate an interest in practical AI applications. Their certifications in various IBM Cognitive Class courses and SAP BTP show a proactive approach to learning and skill development. The volunteer activities indicate a collaborative spirit and engagement beyond academics. The breadth of skills listed (Data Analysis, ML, Deep Learning, RAG, Git, Web Dev basics, SQL, Power BI, SAP BTP) suggests a versatile individual eager to explore different technical domains, which can be a good cultural fit for dynamic teams.
Soft Skills & Operational Fit
The candidate lists strong people skills such as team collaboration, adaptability, critical thinking, problem-solving, and communication skills. These are crucial for operational fit in an engineering team. The volunteer experience further supports their ability to collaborate and manage tasks. Willingness to learn is also a positive indicator for growth within a role.