AI Engineer with less than a year in Data Analysis, Machine Learning, and NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated MCA student with strong interest in Data Analysis, Machine Learning, and Data-Driven Decision Making. Experienced in Python, SQL, and data analysis through academic projects in Deep Learning and Natural Language Processing (NLP). Skilled in data preprocessing, visualization, and analytical problem-solving, with the ability to interpret data and generate meaningful insights.
Mohan Babu University
MCA · Master of Computer Applications
August 1, 2024 – May 1, 2026
GIET Degree College
B.Sc · Computer Science
June 1, 2021 – May 1, 2024
Multi-Stage Deep Learning Approach for Biomarker-Driven Detection of Small Vessel Disease
August 1, 2024 – May 1, 2026
Developed a deep learning system to analyze brain MRI images for detecting Small Vessel Disease. Implemented U-Net for image segmentation and Swin Transformer for classification. Performed data preprocessing, feature extraction, and model evaluation on medical imaging datasets.
Fake News Detection Using Natural Language Processing (NLP)
August 1, 2024 – May 1, 2026
Built an NLP-based system to detect fake news articles using text classification techniques. Applied tokenization, feature extraction, and machine learning models to classify news as real or fake. Improved model accuracy using proper preprocessing and evaluation metrics.
Python Programming, SQL, HTML, Node.js Development, Data Analysis (Foundational training in programming, databases, and analytics)
Unknown
June 1, 2026 – Present
Python for Everybody – IBM Cognitive Class (PY0101EN)
IBM Cognitive Class
June 1, 2026 – Present
Placement Preparation Training (Aptitude, Technical Fundamentals, Interview Readiness)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on practical applications of AI, such as fake news detection and medical image analysis, which aligns with problem-solving and innovation. The breadth of skills gained through certifications (Python, SQL, HTML, Node.js, Data Analysis) indicates a willingness to learn and adapt. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's profile indicates a motivated individual with an interest in data-driven decision-making and analytical problem-solving. The academic projects suggest an ability to work on complex technical challenges. However, without professional experience or psychometric test results, it is difficult to assess operational fit, stress handling, or team collaboration skills.