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AI Engineer with less than a year in Data Analysis and AI/ML Development
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Assessing your cultural and operational fit
MCA graduate with hands-on experience in Python, SQL, Machine Learning, Data Analysis, and Software Development. Skilled in data preprocessing, statistical analysis, dashboard-oriented reporting, and extracting insights from structured and unstructured datasets. Proficient in Python, Pandas, SQL, and data-driven problem solving with experience in AI/ML projects and analytics workflows.
Manipal Institute of Technology
Master of Computer Applications
August 1, 2023 – June 30, 2025
Vivekananda College
Bachelor of Computer Applications
August 1, 2020 – June 30, 2023
GAOTek Inc.
Web Developer Intern
August 1, 2025 – February 1, 2026
US
Clean Code
Full Stack Android Developer Intern
February 1, 2025 – July 1, 2025
Mangalore, Karnataka, India
Coding Jr
Research and Development Intern
February 1, 2025 – May 1, 2025
Bengaluru, Karnataka, India
Deep Learning Image Classifier
June 21, 2026 – Present
Developed and trained CNN models for image classification using TensorFlow and Keras. Performed dataset preprocessing, validation, and performance analysis. Visualized model accuracy and loss metrics using Matplotlib for analytical reporting.
View ProjectHuman Emotion Text Analysis
June 21, 2026 – Present
Analyzed and processed textual datasets using Python and Pandas to identify emotional patterns and sentiment trends. Performed data cleaning, feature engineering, and preprocessing to improve model performance. Built and evaluated machine learning models using Scikit-Learn and generated analytical insights from large datasets.
View ProjectCultural Fit Analysis
The candidate has a diverse set of experiences, including internships in web development, mobile development, and AI research. This breadth indicates adaptability and a willingness to explore different technical domains. The personal projects align well with an AI Engineer role, demonstrating self-driven learning and initiative. The mix of academic background (MCA, BCA) and practical project work suggests a balanced approach to learning and application. The remote work experience also indicates flexibility.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, data interpretation, and analytical skills. Experience in Agile development and SDLC suggests an understanding of structured development processes. Collaboration is implied through team contributions in internship roles. However, specific examples of leadership, conflict resolution, or complex stakeholder management are not explicitly detailed.