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AI Engineer with less than a year in Machine Learning & AI
Highly motivated and detail-oriented Data Scientist Intern with hands-on experience in machine learning, artificial intelligence, and data analytics. Skilled in Python, SQL, and data pre-processing to extract actionable insights from structured and unstructured datasets. Proficient in developing and deploying predictive models, performing statistical analysis, and creating interactive visualizations using Matplotlib, Seaborn, and Plotly. Experienced in using AI/ML frameworks such as TensorFlow and scikit-learn, and in building dashboards with Tableau and Power BI to support data-driven decision-making. Adept at feature engineering, model optimization, and collaborating with cross-functional teams to deliver innovative solutions. Strong problem-solving, analytical, and technical skills focused on transforming complex data into meaningful business insights.
St. Aloysius Institute of Management and Information Technology (AIMIT), Mangalore University
Master of Computer Applications
August 1, 2022 – June 30, 2024
Integral University
Bachelor of Computer Applications
August 1, 2019 – June 30, 2022
Uttar Pradesh Board of High School and Intermediate Education
Intermediate (High School)
June 1, 2017 – May 31, 2019
Uttar Pradesh Board of High School and Intermediate Education
Secondary School
June 1, 2015 – May 31, 2017
IPCS GLOBAL
DATA SCIENTIST INTERN
July 1, 2025 – Present
Kannur, Kerala, India
SOFTEN TECHNOLOGIES
DATA SCIENTIST INTERN
January 1, 2025 – June 1, 2026
Cochin, Kerala, India
SOFTEN TECHNOLOGIES
ARTIFICIAL INTELLIGENCE INTERN
July 1, 2024 – June 1, 2026
Cochin, Kerala, India
Credit Card Fraud Detection Using Convolutional Neural Networks (CNN)
June 1, 2026 – Present
Developed and deployed a Convolutional Neural Network model to identify fraudulent credit card transactions, enhancing detection accuracy. Implemented advanced data pre-processing and feature engineering techniques to optimize model performance. Conducted thorough model evaluation and tuning to achieve high precision and recall rates, effectively reducing false positives and negatives.
Historical Data Analysis (2006-2021)
June 1, 2026 – Present
Aggregated and processed extensive datasets from diverse sources, including news outlets, social media platforms, and public records, to construct a comprehensive historical database. Employed machine learning algorithms and sentiment analysis to uncover patterns and correlations in significant global events, such as the 2008 financial crisis and the COVID-19 pandemic. Delivered data-driven insights through detailed reports and visualizations, aiding in the understanding of event impacts and informing strategic decision making.
AngularJS
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship experiences demonstrate a strong interest and foundational skill set in AI and Data Science, aligning well with an AI Engineer role. The diversity of projects (fraud detection, historical data analysis) and exposure to various tools (TensorFlow, scikit-learn, NLP libraries, visualization tools) indicate a broad technical curiosity and willingness to learn. The candidate's educational background in Computer Applications further supports a strong technical foundation. However, all listed experiences are internships, suggesting a need for mentorship and growth within a professional team setting.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving, analytical, and technical skills, with an emphasis on transforming complex data into meaningful business insights. Collaboration with cross-functional teams is also mentioned, indicating a team-oriented approach. The project descriptions are clear and demonstrate an understanding of the full ML lifecycle from data processing to model evaluation and deployment. However, the candidate's experience level is entry-level (internships), which might require more guidance in a senior role.