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AI Engineer with less than a year in Data Analysis, Python, SQL, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical Associate Analyst candidate with knowledge in data analysis, Python, SQL, and problem-solving techniques. Skilled in handling data-driven projects, report preparation, and developing efficient solutions using AI and web technologies. Strong communication, teamwork, and analytical abilities with a passion for continuous learning.
Samskruti College of Engineering and Technology
B.Tech · Computer Science and Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Alphores Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Lotus Pond High School
SSC
June 1, 2020 – May 31, 2020
Automated Road Damage Detection System using UAV Images and Deep Learning Techniques
June 1, 2026 – Present
Developed an AI-based system to identify road damages using UAV imagery and deep learning models for infrastructure monitoring and analysis.
Price Negotiation Chatbot (AI-Powered)
June 1, 2026 – Present
Built an AI chatbot with text and voice interaction features to improve customer engagement and automate negotiation processes.
Online Gaming Platform (Research Project)
June 1, 2026 – Present
Developed a Python-based project focused on player behavior analysis and system optimization using data-driven techniques.
Google AI-ML Virtual Internship
June 1, 2026 – Present
Palo Alto Cybersecurity Virtual Internship
Palo Alto
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in AI applications, from chatbots to image processing and data analysis in gaming. This breadth indicates adaptability and a willingness to explore different problem domains, which can be a good cultural fit for an innovative team. The virtual internships with Google and Palo Alto suggest a proactive approach to learning and aligning with industry leaders, demonstrating a growth mindset. However, the lack of professional experience means cultural fit in a team environment is largely theoretical at this stage.
Soft Skills & Operational Fit
The candidate lists analytical thinking, communication, team collaboration, and time management as soft skills. These are crucial for an AI Engineer role, especially in project-based environments. The academic projects suggest an ability to work on defined problems and deliver solutions. However, without professional experience, the practical application and depth of these skills in a corporate setting are yet to be validated.