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AI Engineer with less than a year in Machine Learning & Predictive Analytics.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science Undergraduate passionate about Machine Learning, Predictive Analytics, and Intelligent Systems. Experienced in building end-to-end ML solutions using Python, Scikit-Learn, SQL, and Streamlit. Strong foundation in mathematics, data analysis, and problem-solving with active participation in hackathons and AI projects.
Vishwakarma Institute of Information Technology
B.Tech · Computer Science & Engineering
August 1, 2023 – Present
Sahyadri International College
HSC
June 1, 2021 – May 1, 2023
Mount Litera zee School
CBSE
N/A – March 1, 2021
Prodigy Infotech
Software Development Intern
September 1, 2024 – October 1, 2024
India
Phone Addiction Prediction App
June 1, 2026 – Present
Built an end-to-end ML application using Python, Streamlit, and Scikit-Learn. Applied data preprocessing and classification algorithms for behavioral prediction. Achieved 82% prediction accuracy on user behavioral datasets. Developed an interactive dashboard for real-time prediction and analysis.
Loan Approval Prediction System
June 1, 2026 – Present
Developed a Machine Learning model using Logistic Regression on 10,000+ loan records. Performed data preprocessing, feature engineering, and model evaluation. Achieved 86% prediction accuracy using Scikit-Learn pipelines. Deployed the trained model using Joblib for real-time prediction.
Blockchain-Based Microfinance Platform
June 1, 2026 – Present
Developed a blockchain-based lending platform using Solidity and Web3.js. Designed an ML-driven borrower risk scoring mechanism. Enabled transparent and tamper-proof financial transactions. Integrated predictive analytics for dynamic interest rate calculation.
Machine Learning - Linear Regression
Analyttica
June 1, 2026 – Present
Google Data Analytics
Coursera
June 1, 2026 – Present
CCNA: Introduction to Networks
Cisco Networking Academy
June 1, 2026 – Present
Data Science
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI and Data Science, aligning well with an AI Engineer role. Project diversity, including a blockchain-based platform with ML integration, demonstrates an innovative mindset. Participation in hackathons and leadership roles suggests a proactive and collaborative attitude, which generally contributes positively to cultural fit. The breadth of skills across ML, data analytics, and some web development indicates adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate problem-solving skills and an ability to work on diverse technical challenges. Participation in hackathons and leadership roles suggest teamwork and initiative. However, the brevity of descriptions limits a deeper assessment of communication and collaboration style.