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Data Science with less than a year in Front-End Development, Data Science, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a Computer Science student interested in Data Science and Machine Learning, with hands-on experience in Python, SQL, Machine Learning, and Deep Learning through academic and personal projects. I enjoy building real-world projects and learning new AI technologies.
Vivekananda Global University
Bachelor of Technology · Computer Science and Engineering
August 1, 2023 – Present
MotionCut
Front-End Development Intern
June 1, 2025 – August 1, 2025
India
RAG-Based AI Teaching Assistant
June 1, 2026 – Present
Engineered a multi-modal RAG system utilizing Whisper, Llama 3.2, and vector embeddings to streamline digital learning. Implemented semantic search architecture to enable context-aware, high-precision question answering. Architected timestamp-based guidance functionality to optimize video navigation and support user learning.
View ProjectCustomer Churn Prediction
June 1, 2026 – Present
Developed an ANN model using TensorFlow and Keras to accurately forecast customer attrition on highly imbalanced datasets. Optimized hyperparameters via Keras Tuner, achieving an 83% classification accuracy and a 71% recall rate.
View ProjectIPL Match Win Probability Predictor
June 1, 2026 – Present
Designed and deployed a predictive machine learning model utilizing Python, Flask, Pandas, and Scikit-learn to determine live match outcomes. Achieved an 85% prediction accuracy by evaluating real-time, dynamic match conditions.
View ProjectMachine Learning with Python
Coursera
June 1, 2026 – Present
Data Science Course
CodeWithHarry
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse interest within Data Science, from RAG systems to churn prediction and sports analytics. This breadth of interest aligns well with a dynamic, learning-oriented culture. The inclusion of a front-end development internship, while not directly data science, shows versatility and a willingness to explore different technical areas. The academic nature of all projects suggests a strong theoretical foundation, but real-world, collaborative project experience is limited. The target role is Data Science, and the projects are highly relevant, indicating good alignment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and project-based application of skills. The project descriptions indicate an ability to work on complex problems and optimize solutions. However, without psychometric test results or interview data, a comprehensive assessment of stress handling, team collaboration, and other operational fit aspects is not possible.