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Data Science with less than a year in AI, Machine Learning, and Python.
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 and detail-oriented MCA graduate with hands-on experience in Artificial Intelligence and Machine Learning through academic and personal projects. Proficient in Python, SQL, and data-driven technologies, with a strong foundation in data analysis and statistical modeling. Adept at problem-solving, effective communication, and working collaboratively as a team player. Eager to apply technical skills and an analytical mindset to contribute to innovative, data-driven solutions in a dynamic organization.
Kannur University campus, Mangattuparamba
MCA
August 1, 2023 – June 30, 2025
Arts And Science College, Taliparamba
BSC COMPUTER SCIENCE · Computer Science
August 1, 2020 – June 30, 2023
Coding monks innovation
Data science intern
April 1, 2025 – June 30, 2025
India
Signature Fraud Detection Using Deep Learning
June 25, 2026 – Present
Developed a deep learning model leveraging Siamese Neural Networks (SNN) for signature verification in banking, legal, and administrative systems. Trained to compare signature pairs and detect forgeries with high accuracy.
Third Eye
June 25, 2026 – Present
A multifunctional remote control application for smartphones and PCs, enabling file retrieval, contact access, call/message logs, location tracking, SIM alerts, remote recording
Education Recommendation System
June 25, 2026 – Present
Developed a machine learning-based web application to guide students in selecting suitable educational streams and institutions. The system takes user inputs such as academic marks, interests, and location to recommend the most fitting stream along with matching schools or colleges.
Cultural Fit Analysis
The candidate's academic projects show a focus on practical applications of data science, which aligns with an innovative and problem-solving culture. The internship, though brief and future-dated, indicates an interest in professional application of skills. The diversity of projects (fraud detection, recommendation systems, remote control app) suggests adaptability and a broad interest in technology. However, the lack of professional experience beyond a future internship limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists leadership, time management, problem-solving, visionary thinking, collaboration, and teamwork as soft skills. While these are valuable, there is no assessment data to validate their proficiency in these areas. The academic projects suggest an ability to work independently on defined problems.