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AI Engineer with less than a year in Machine Learning & Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech graduate in Artificial Intelligence & Data Science with hands-on experience in Python, machine learning, and data analysis. Skilled in building end-to-end ML pipelines, data preprocessing, EDA, and visualization using industry-standard libraries. Strong foundation in statistics and algorithms. Seeking entry-level roles in Data Science, ML Engineering, or Data Analytics.
Government Polytechnic
Diploma · Mechanical Engineering
N/A – Present
Shri Sant Gadge Baba College of Engineering
B.Tech · Artificial Intelligence & Data Science
N/A – January 1, 2024
Exploratory Data Analysis – Student Performance Dataset
January 1, 2024 – December 31, 2024
Performed comprehensive EDA on student performance dataset to identify key factors affecting academic outcomes. Cleaned and preprocessed raw data – handled missing values, outliers, and categorical encoding. Generated 10+ visualizations including heatmaps, box plots, and correlation matrices to derive actionable insights. Identified strong correlations between study hours, parental education, and student scores through statistical analysis.
Multi-Depth Soil Water Content Prediction System
January 1, 2024 – December 31, 2024
Built a Machine Learning regression model to predict soil water content at multiple soil depths using real-world agricultural data. Applied data preprocessing techniques including missing value handling, normalization, and feature selection to improve model accuracy. Evaluated model performance using regression metrics such as RMSE, MAE, and R² score; achieved significant prediction accuracy improvement. Implemented complete end-to-end ML pipeline from raw data ingestion to model evaluation using Python and Scikit-learn. Visualized feature importance and prediction results using Matplotlib and Seaborn for better interpretability.
Machine Learning
Unknown
June 1, 2026 – Present
MERN Stack Development
Unknown
June 1, 2026 – Present
Web Development
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical problem-solving within the AI/ML domain, which aligns with an AI Engineer role. The breadth of skills, including some web development (MERN stack), indicates a willingness to learn diverse technologies. However, the lack of professional experience and limited project diversity (both academic) suggests a need for more exposure to real-world team environments and varied problem sets to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates a motivated individual with a strong academic background in AI & Data Science. The project descriptions suggest an ability to work through technical challenges independently, focusing on practical application of ML concepts. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader work attitude.