Data Science with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year AIML student with strong foundations in Python, Machine Learning, and Data analysis. Eager to contribute as a Data Scientist by analyzing datasets and building predictive models to solve real-world problems. Focused on uncovering actionable insights and improving system performance through data-driven approaches.
St John College of Engineering and Management
B.Tech. · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Enjay IT Solutions Pvt. Ltd.
Business Analyst Intern
November 1, 2022 – May 1, 2026
India
ApproveX - Loan Approval Classifier
January 1, 2026 – Present
Developed an end-to-end supervised Machine Learning pipeline to predict loan approval using kNN, Logistic Regression, and Naive Bayes algorithms. Performed Exploratory Data Analysis (EDA) and Feature Engineering to clean, transform, and optimize dataset performance. Implemented binary classification with model evaluation using Precision, Recall, and F1-Score to assess predictive accuracy.
ScamGuard AI – Multilingual Financial Scam Detection System
January 1, 2026 – Present
Developed an AI-powered multilingual scam detection system for identifying financial scam messages in English, Hinglish, and Marathi-English text. Implemented a hybrid ensemble model using XGBoost and XLM-ROBERTa with transfer learning and fine-tuning techniques to improve scam intent detection accuracy. Built an NLP preprocessing pipeline with URL and phone-number masking and designed a traffic-light risk scoring interface for real-time financial threat assessment.
GreenCount - Tree Sense Imaging
January 1, 2026 – Present
Developed Tree Sense Imaging, an AI-based system for detecting tree cover and estimating canopy density from satellite imagery using deep learning. Integrated environmental analytics such as soil pH and rainfall monitoring to generate automated ecological insights and recommendations. Built interactive visualizations and alert mechanisms for tracking vegetation changes and supporting environmental sustainability analysis.
Best Presenter for research paper “GreenCount: AI-Powered Tree Counting and Vegetation Monitoring from UAV and Satellite Imagery"
InCASST 2025 (International Conference), Sanata Dharma University, Indonesia
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of applications for AI/ML, from financial fraud detection to environmental monitoring, indicating a broad interest and adaptability. The 'ScamGuard AI' project, in particular, shows an understanding of real-world, multi-language challenges. The 'GreenCount' project and associated award highlight a proactive approach to research and innovation. These aspects suggest a good cultural fit for a role that values problem-solving, innovation, and diverse applications of data science.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and deliver practical solutions. The 'Best Presenter' award suggests good presentation and communication skills. However, without specific psychometric test results or interview data, it's difficult to fully assess operational fit, stress handling, or team collaboration skills.