Entry-level AI Engineer with Python & Machine Learning skills
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B.Tech Information Technology graduate with knowledge of Python, SQL, Microsoft Excel and Machine Learning. Strong foundation in programming, data handling, and analytical problem-solving gained through academic projects and coursework. Seeking an entry-level opportunity to apply technical skills and grow in the IT industry.
Gayatri Vidhya Parishad College Of Engineering For Women Visakhapatnam
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Rishi Junior College Narsipatnam
Higher secondary Education (10+2) · MPC
June 1, 2019 – May 31, 2021
Z.P.High School Pedaboddepalli
Secondary Education (10th)
June 1, 2018 – May 31, 2019
Blackbuck Engineers | APSCHE
ChatGPT & Generative AI Intern
January 1, 2025 – January 1, 2025
India
Fake Review Detection System
June 1, 2026 – Present
Developed a machine learning system using Python to analyze large datasets and analyze and classify textual data. Applied NLP techniques such as tokenization and sentiment analysis for pattern detection. Built data processing pipelines for structured analysis and reporting. Identified patterns and anomalies in datasets to support structured analysis and reporting. Tools: Python, Scikit-learn, Pandas, NLTK
Bank Management System
June 1, 2026 – Present
Developed a Bank Management System using Python and MySQL to manage customer banking operations efficiently. Implemented features such as account registration, login authentication, deposit, withdrawal, balance inquiry, and mini statement generation. Applied Object-Oriented Programming concepts including classes, encapsulation, constructors, and modular programming. Integrated Streamlit frontend with MySQL database for secure and user-friendly banking transactions.
SQL for Beginners
Simplilearn
June 1, 2026 – Present
Excel: Beginner to Advanced
Analytics Vidhya
June 1, 2026 – Present
Data Analytics Basics for Everyone
IBM(edX)
June 1, 2026 – Present
Machine Learning Master
Altair
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying technical skills. The 'Fake Review Detection System' and 'Bank Management System' show an ability to work on diverse problem domains. The Generative AI internship indicates an interest in cutting-edge technologies, which aligns well with an innovative culture. However, the overall experience is limited to academic and internship settings, so the breadth of exposure to different team dynamics and professional environments is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate lists teamwork, adaptability, attention to detail, quick learning, and collaboration as soft skills. These are valuable for an AI Engineer role, especially in a dynamic environment. The academic projects and internship show some capacity for structured problem-solving and working with data, which aligns with operational requirements. However, the experience level is entry-level, suggesting a need for significant guidance and ramp-up in a professional setting.