AI Engineer with less than a year in Information Technology and Machine Learning with hands-on proje
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Assessing your cultural and operational fit
Dedicated and detail-oriented B.Tech student specializing in Information technology and Machine Learning with hands-on experience in building machine learning models and Al applications. Proficient in Python, C++, and various ML frameworks, with a strong foundation in data analysis, deep learning, and computer vision. Successfully completed multiple internships and projects in Al and ML, demonstrating an ability to solve complex problems. Eager to leverage skills in real-world applications and contribute to innovative Al solutions.
Bengal college of engineering and technology
B.Tech · Information technology
January 1, 2021 – January 1, 2026
D.A.V College Bhaga, Dhanbad
Higher Secondary Education (JAC)
January 1, 2020 – January 1, 2020
Recommendation System
June 19, 2026 – Present
Designed and developed a recommendation system using Artificial Neural Networks (ANN).
Spam E-mail Detector
June 19, 2026 – Present
Built a model to detect and separate spam emails using Machine Learning and Generative AI.
Customer Churn Prediction
June 19, 2026 – Present
Implemented a churn prediction model using ML and DL techniques to improve customer retention strategies.
Handwritten Digit Recognition
June 19, 2026 – Present
Developed a system for handwritten digit recognition using Machine Learning and Deep Learning.
Python for Beginners
Simplilearn
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
Deeplearning.ai
January 1, 2024 – Present
Introduction to Artificial Intelligence
Simplilearn
May 1, 2023 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest and focus on AI/ML through personal projects and certifications, which aligns well with an AI Engineer role. The diversity of projects (recommendation systems, spam detection, churn prediction, digit recognition) indicates a broad interest within the AI domain. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The resume indicates a dedicated and detail-oriented individual with a strong foundation in problem-solving, as evidenced by solving 350+ coding problems. The project descriptions suggest an ability to apply theoretical knowledge to practical scenarios. However, without specific work experience or detailed project contributions, it's difficult to assess collaboration, stress handling, or other operational soft skills.