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AI Engineer with less than a year in Data Science & 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
Final-year B.E. (AI & ML) student with hands-on experience in ML model development, computer vision, and SQL-based data analytics. Built end-to-end AI pipelines and dashboards through internship and independent projects. Seeking an entry-level AI/ML or Data Analytics role.
Acharya Institute of Technology
B.E. · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Take It Smart (OPC) Pvt. Ltd.
Data Science Intern
June 1, 2024 – August 1, 2024
Bengaluru, Karnataka, India
Enhanced Victim Detection Using YOLOv8
June 1, 2026 – Present
Built a real-time disaster-response system using YOLOv8 for victim detection and GPS-based geographic localization. Automated the detection pipeline with OpenCV, reducing manual search time in simulated rescue scenarios.
View ProjectSpeech Emotion Detection
June 1, 2026 – Present
Designed an LSTM-based deep learning pipeline for multi-class emotion classification from speech using MFCC features. Applied data augmentation and hyperparameter tuning to improve model generalization on unseen audio data.
Zepto Product Data Analysis Using SQL
June 1, 2026 – Present
Analyzed 10,000+ product records using advanced SQL (Joins, CTEs, Window Functions) to uncover pricing anomalies and stock imbalances. Structured query outputs for reporting tools, enabling data-driven inventory decisions.
Technology Job Simulation - Data Analytics & Forensic Technology
Deloitte (Forage)
June 1, 2026 – Present
Certificate of Appreciation, CS Internship Program
Old Dominion University
June 1, 2026 – Present
Introduction to Networking and Storage
IBM
June 1, 2026 – Present
Python for Data Science
Unknown
June 1, 2026 – Present
Machine Learning Foundations
Unknown
June 1, 2026 – Present
Artificial Intelligence Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML and data analytics through diverse personal projects (victim detection, emotion detection, product analysis) and relevant certifications. The internship experience aligns with data science practices. The breadth of skills and project types suggests adaptability and a proactive learning attitude, which are positive indicators for cultural fit in a dynamic technical environment. However, the experience level is entry-level, which might require mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently and apply problem-solving skills (e.g., reducing manual search time, uncovering pricing anomalies). Participation in a hackathon suggests teamwork and time management under pressure. However, specific details on communication, stress handling, or team collaboration are not explicitly provided in the resume or assessment data.