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Data Science with less than a year in data analysis & machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Computer Science and Engineering fresher with hands-on experience in data preprocessing, exploratory data analysis (EDA), and machine learning model development through a 3-month data science internship. Proficient in Python, SQL, Power BI, and Tableau with certified expertise in data visualization.
Sambhram Institute of Technology
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
KLE Prerana PU College
Pre-University Certificate · Science
June 1, 2020 – May 31, 2022
Christ the King School
SSLC (10th)
N/A – May 31, 2020
Prinston Smart Engineers
Data Science Intern
February 1, 2026 – May 31, 2026
Bengaluru, Karnataka, India
YouTube Interaction & Sponsorship Classifier
January 1, 2026 – December 31, 2026
Developed an ML-based YouTube sponsorship classifier to identify sponsored vs. non-sponsored video content using NLP and classification techniques on a real-world dataset. Performed complete data pipeline: data collection, cleaning, EDA, feature selection, model training, and evaluation using cross-validation.
AI-Enhanced Honeypot for Network Security
January 1, 2025 – December 31, 2025
Designed and implemented an AI-enhanced honeypot system to detect, analyze, and respond to cyber threats in real time using Python and ML-based anomaly detection algorithms. Applied machine learning classification to distinguish between legitimate traffic and attack patterns, improving threat detection accuracy.
Power BI and Data Visualization Certification
Industry Recognized
June 1, 2026 – Present
Robotic Process Automation (RPA) Workshop
Certification
June 1, 2026 – Present
Cloud Infrastructure Management and Automation for Industry
Certification
June 1, 2026 – Present
Career Enhancement Program
Genesis Training Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in diverse applications of data science, from network security to social media content classification. The internship experience aligns well with a data science trajectory, focusing on practical data handling and visualization. The breadth of certifications (Power BI, RPA, Cloud Infrastructure) suggests a proactive learning attitude and adaptability, which are positive indicators for cultural fit in a dynamic technical environment. However, the candidate is a fresher with limited professional experience, which might require more mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, teamwork, dashboard reporting, and client communication as soft skills. The internship experience involved communicating findings to stakeholders, which aligns with operational needs for presenting data insights. However, the depth of these skills cannot be fully assessed without direct interaction or more detailed project descriptions.