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Data Science with 1+ years in Machine Learning & Cybersecurity.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Seeking an entry-level position in a reputed organization to apply my technical knowledge, enhance my skills, and contribute positively to team and company objectives.
ROL JALAPPA INSTITUTE OF TECHNOLOGY
B. E. COMPUTER SCIENCE AND ENGINEERING · Computer Science and Engineering
August 1, 2021 – June 30, 2025
NARAYANA JUNIOR COLLEGE
MPC – Intermediate
June 1, 2019 – May 31, 2021
SRI SAI VIGNAN HIGH SCHOOL
SSC
June 1, 2019 – May 31, 2019
A Machine Learning-Based Cyber attacks Detector in Software-Defined Networking (SDN) for Healthcare Systems
June 1, 2025 – June 1, 2026
Developed a machine learning-based cyber-attack detection system for Software-Defined Networking (SDN) in healthcare environments. Used Python and Machine Learning algorithms to detect network attacks such as DDoS and intrusion attempts in real time. Implemented traffic analysis and feature extraction from SDN network flow data to identify abnormal behavior. Trained and evaluated ML models using Scikit-Learn, focusing on accuracy, precision, and recall for attack detection.
Music Recommendation Engine
June 1, 2025 – June 1, 2026
Developed a music recommendation system using Python and Machine Learning to suggest songs based on user preferences. Implemented content-based filtering using cosine similarity to find and recommend similar songs. Performed data pre-processing and feature engineering on music datasets using Pandas and NumPy. Used Scikit-Learn to build and evaluate the recommendation model for better accuracy.
Python Programming Languages
Unknown
June 1, 2026 – Present
HTML, CSS Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science to diverse problems (music recommendation, cybersecurity in healthcare). This indicates a willingness to explore different domains. However, without professional experience or more diverse project types, it's difficult to fully assess cultural fit beyond a foundational academic alignment with data science principles. The target role is Data Science, and the projects align well with this, showing a focused interest.
Soft Skills & Operational Fit
The candidate lists 'Quick Learner', 'Problem-Solving Ability', 'Strong Analytical Thinking', 'Self-Motivated', 'Strong Communication Skills', and 'Adaptable to New Technologies' as personal strengths. These indicate a positive attitude towards learning and problem-solving, which are beneficial for operational fit. However, these are self-reported and not validated by assessments or work experience.