Data Science with less than a year in Machine Learning, NLP, and Analytics.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science student with hands-on experience in Machine Learning, NLP, Analytics, and Business Intelligence. Skilled in building predictive systems, deploying scalable applications, and transforming data into actionable business insights.
Noida Institute of Engineering and Technology
B.Tech · Computer Science (Data Science)
August 1, 2023 – June 30, 2027
Tagore Academy Public School
Senior Secondary Education (CBSE)
June 1, 2022 – May 31, 2022
Tagore Academy Public School
Secondary Education (CBSE)
June 1, 2020 – May 31, 2020
Customer Churn Prediction & Revenue Impact Analysis
June 1, 2026 – Present
Built churn prediction models using Random Forest and Logistic Regression achieving approximately 85% ROC-AUC. Identified high-risk customer segments contributing significantly to revenue loss. Quantified revenue-at-risk metrics to support retention strategies. Developed an interactive Streamlit dashboard for real-time business monitoring.
View ProjectNLP-Powered Plagiarism Detection System
June 1, 2026 – Present
Architected a full-stack plagiarism detection platform using Flask, NLTK, Scikit-learn, SQLite, and JavaScript. Implemented TF-IDF vectorization and cosine similarity scoring for sentence-level similarity analysis. Enabled TXT, PDF, and DOCX document ingestion with copied-text highlighting and plagiarism classification. Generated downloadable PDF reports and maintained persistent scan history using SQLite. Deployed the application on Render using Gunicorn.
Terral: Agri-Tech Credit & Insurance Automation
June 1, 2026 – Present
Developed a geospatial credit-scoring system using NDVI and soil attributes for agricultural risk assessment. Automated insurance claim triggers through weather API integration. Enhanced predictive performance through feature engineering on satellite time-series datasets.
Comprehensive Data Analytics Bundle
Infosys
June 1, 2026 – Present
Implementing Databases using Microsoft SQL Server
Infosys
June 1, 2026 – Present
NLP using Python
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a breadth of interests within Data Science, from predictive modeling to NLP and geospatial analysis. This diversity, coupled with certifications from Infosys, suggests a proactive learning attitude and a willingness to explore different facets of the field. The projects align well with a Data Science role, indicating a strong interest and potential for growth in the domain.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a project-oriented approach, which suggests good problem-solving and practical application skills. The ability to work on diverse projects indicates adaptability. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or other operational fit aspects.