Data Science with less than a year in Machine Learning & AI
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Assessing your cultural and operational fit
Data Science Intern with hands-on experience in building machine learning projects. Skilled in data cleaning, analysis, and visualization to find useful insights from data. Familiar with applying AI/ML techniques to real-world problems and contributing to project outcomes. Looking for opportunities to grow as a data professional and support data-driven decision-making.
Kakinada Institute of Engineering and Technology for Women
CSE-Artificial Intelligence and Data Science · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College
Intermediate (MPC) · Physics, Mathematics, Chemistry
June 1, 2019 – May 31, 2021
Thrividha English Medium High School
S.S.C
June 1, 2018 – May 31, 2019
VOZIQ AI
Data Science Intern
June 1, 2025 – December 1, 2025
India
Movie Recommendation System
January 1, 2024 – December 31, 2024
Collaborated with a team of four to design and develop a web-based movie recommendation system. Leveraged the IMDB dataset containing movie names, ratings, reviews, and genres to build an efficient recommendation algorithm using Python and Machine learning libraries. Focused on data preprocessing, feature extraction, and creating a user-friendly interface for seamless user experience.
Age and Gender Prediction
January 1, 2024 – December 31, 2024
Developed a system to predict age and gender from facial images using OpenCV. Used OpenCV for face detection and preprocessing, and applied a trained model for predictions. Built a simple interface to allow users to upload photos and get age and gender predictions easily.
Cultural Fit Analysis
The candidate's academic projects and internship align well with a Data Science role, demonstrating a clear interest and foundational skill set in the field. The projects show diversity in application (recommendation systems, image prediction, churn prediction). However, the overall breadth of experience is limited to academic and internship settings, which might require more structured integration into a corporate culture.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration in team projects and an interest in applying AI techniques, suggesting a foundational understanding of teamwork. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, logical reasoning, work attitude, stress handling, and team collaboration cannot be made.