Final-year B.Tech student seeking AI/ML and Data Analyst internship opportunities.
AI is analyzing your overall score…
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Assessing your cultural and operational fit
Final-year B.Tech student in Artificial Intelligence and Data Science at AISSMS Institute of Information Technology (IOIT), Pune, with hands-on experience in Machine Learning, Deep Learning, Data Analytics, and Data Visualization. Proficient in Python, Scikit-learn, PyTorch, Pandas, NumPy, SQL, and Power BI. Experienced in predictive modeling, exploratory data analysis (EDA), data preprocessing, and feature engineering through academic projects. Seeking AI/ML and Data Analyst internship opportunities to develop scalable, data-driven AI solutions for real-world problems.
AISSMS Institute of Information Technology
B.tech · Artificial Intelligence and Data Science
N/A – June 30, 2027
Loan Sanction Prediction
January 1, 2023 – Present
Developed ML model to predict loan approval from applicant demographic and financial data. Performed data preprocessing, feature engineering, and EDA to optimize model accuracy. Implemented and compared Decision Tree and Random Forest classifiers using standard metrics.
Social Media Usage Impact on Human Health
January 1, 2023 – Present
Developed an ML-based system to analyze social media usage and predict mental health risk. Applied preprocessing, feature engineering, and SMOTE for improved model performance. Trained Random Forest and Gradient Boosting models on behavioral data. Built a Flask-based prediction engine for real-time inference.
View ProjectSugarcane Leaf Disease Detection (AI-Sentinel)
January 1, 2023 – Present
Built CNN image classifier using MobileNetV2 transfer learning on a limited agricultural dataset. Trained and evaluated deep learning model for automated disease identification and crop health monitoring. Deployed end-to-end solution with Flask inference API and React frontend for real-time disease prediction.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of application in data science, from loan prediction to health risk analysis and agricultural disease detection. This diversity suggests adaptability and a willingness to tackle varied problems, which could contribute positively to cultural fit in a dynamic environment. The academic nature of all projects, however, means real-world collaboration and professional project management experience are unproven.
Soft Skills & Operational Fit
The candidate lists 'Team Collaboration' and 'Problem Solving' as soft skills. Project descriptions indicate practical application of problem-solving in model development and deployment. However, without specific examples or interview data, the depth of these skills and operational fit cannot be fully assessed.