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Data Science with 1+ years in NLP & Data Analysis
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Assessing your cultural and operational fit
Computer Science undergraduate at IIIT Kottayam specializing in Data Science and Machine Learning. Proficient in Python, Scikit-learn, Pandas, NumPy, and Streamlit with hands-on experience in NLP, sentiment analysis, EDA, regression modeling, and data visualization. Delivered production-deployed ML projects achieving 87% sentiment accuracy and R² = 0.84. Seeking a Data Science or Machine Learning internship to apply end-to-end ML pipeline skills.
INDIAN INSTITUTE OF INFORMATION TECHNOLOGY KOTTAYAM, KERELA
B.Tech · Computer Science And Engineering
August 1, 2024 – June 30, 2028
IIIT Kottayam
College Event Coordinator
February 1, 2025 – April 1, 2026
India
California Housing Price Prediction
May 1, 2026 – June 1, 2026
• Built an end-to-end regression pipeline on the Sklearn housing dataset (20,640 samples); applied Linear Regression, Decision Tree & Random Forest with comprehensive EDA & feature engineering. • Evaluated models using RMSE & R-squared; Random Forest achieved R² = 0.84 & RMSE ≈ $41K, outperforming baseline by 31%. • Visualized feature importance & geographic price distributions across 8 California districts to produce actionable real-estate insights.
Google Photos Review Intelligence Dashboard
April 1, 2026 – May 1, 2026
• Built an NLP-powered analytics dashboard analyzing 10,000+ Google Photos reviews; performed data cleaning, EDA, sentiment analysis & keyword extraction using Python & pandas, cutting preprocessing time by 40%. • Developed 4 interactive visualizations – sentiment distributions, WordClouds, polarity histograms & correlation heatmaps - improving insight delivery by 60%. • Deployed on Streamlit Cloud & GitHub for real-time interactive analysis, achieving 87% sentiment accuracy and supporting 50+ users with <2s load time.
Applied Data Science & Machine Learning Program
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is an undergraduate with limited professional experience, focusing on personal projects. While the projects demonstrate initiative and a passion for data science, the breadth of experience outside of academic projects is narrow. The 'College Event Coordinator' role indicates teamwork and organizational skills, which are positive for cultural fit, but the overall diversity of roles and exposure to different work environments is low. The target role is Data Science, and the projects align well with this, but the candidate's experience level is very junior (experienceLevel: 1).
Soft Skills & Operational Fit
The candidate's experience as a College Event Coordinator suggests strong organizational, leadership, communication, and conflict resolution skills, which are valuable for team collaboration and project management in a data science role. However, the direct operational fit for a data science role is limited given the non-technical nature of the experience.