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Entry-level AI Engineer with hands-on ML models, deep learning, and data analytics experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech AI & Data Science fresher (2026) with hands-on experience building ML models, deep learning pipelines, and data analytics solutions. Proficient in Python, scikit-learn, and TensorFlow with projects spanning computer vision (GANs), predictive modeling, and mobile app development. Looking to contribute to a data/AI team as a fresher in an ML, data science, or software engineering role.
YBI Foundation
Data Science & AIML Internship
January 1, 2024 – Present
India
Face Swap & Deepfake Detection Model
January 1, 2025 – December 31, 2025
Implemented a GAN-based face-swapping model in Python, gaining deep experience with convolutional architectures, image warping, and adversarial training Explored deepfake detection as a countermeasure, relevant to trust and safety applications in enterprise AI
Employee Experience Mobile Application
January 1, 2024 – December 31, 2024
Built a cross-platform mobile app in Flutter with real-time dashboards for data collection, sentiment tracking, and engagement analytics Integrated predictive modeling to classify user sentiment and flag risk patterns from live feedback data Designed full UI/UX in Figma and iterated based on user testing — achieved 4.5/5.0 satisfaction rating
Car Price Prediction Model
January 1, 2024 – December 31, 2024
Trained and tuned regression and deep learning models on real-world automotive datasets to predict vehicle market prices Performed feature engineering and EDA to identify key price drivers (mileage, brand, model year, fuel type)
Flutter App Development
Unknown
January 1, 2024 – Present
Cybersecurity
Tech Mahindra
January 1, 2024 – Present
Data Science Job Strategies
Scaler Masterclass
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects show a diverse interest in mobile development, predictive analytics, and computer vision, which aligns with the broad scope of an AI Engineer role. The personal projects demonstrate initiative and self-learning. However, the experience level is entry-level (0 years), and the internship is ongoing, which might indicate a need for more structured team experience. The cybersecurity certification is a tangential skill for an AI Engineer role, but shows breadth of interest.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from UI/UX design to predictive modeling. The internship experience suggests collaboration and presentation skills. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.