ALBIN SHAJU
Kothamangalam
Summary
Data Science Intern experienced in analyzing structured datasets and building predictive models using Python and SQL.Skilled in exploratory data analysis, feature engineering, machine learning, and data visualization to generate actionable insights and support data-driven decision making.
Overview
3
3
years of professional experience
2
2
Certifications
Work History
Data Science Intern
LUMINAR TECHNOLAB
Enakulam
07.2025 - Current
- Analyzed 10,000+ records during exploratory data analysis to detect missing values, correlations, and key feature
patterns. - Engineered 12+ predictive features to improve training performance of machine learning models.
- Trained KNN and SVM classification models achieving approximately 85% accuracy.
- Compared 3 machine learning algorithms to evaluate performance and select the most stable model.
- Created 10+ visualizations using Matplotlib and Seaborn to communicate analytical insights.
Internship Student
SPECTRUM SOFTTECH SOLUTIONS PVT LTD
Ernakulam
05.2023 - 05.2023
- Executed internship focused on programming in Python.
Education
B.Tech - Computer Science
Mar Baselios Institute Of Technology And Science
Kothamanagalam05-2025
Skills
- Programming: Python, SQL
Machine Learning: Regression, Classification, KNN, SVM, Model Evaluation - Data Analysis: Data Cleaning, Exploratory Data Analysis (EDA), Feature Engineering, Data Preprocessing
- Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Keras, OpenCV
- Tools: Power BI, Streamlit, Git, Jupyter Notebook
- Concepts: Feature Selection, Cross Validation, Train-Test Split, Statistical Analysis,Data Visualization
- Soft Skills: Analytical Thinking, Problem Solving, Communication, Collaboration
Certification
Data Science Job Simulation — British Airways (Forage, 2025)
Languages
- English
- Malayalam
Publications
VOICE BASED EMAIL FOR BLIND, Recent Trends in Androids and IOS Applications, 08, 01, 2026, 3049-0804
Projects
Voice-based email for blind
- Implemented 5 voice commands enabling hands-free email composition and navigation.
- Integrated speech recognition and text-to-speech modules for automated email interaction.
- Reduced email sending time by approximately 50% through workflow automation.
Football Player Market Value Prediction
- Processed 7,500+ player records through data cleaning and feature engineering.
- Built regression model achieving R2 score of 0.87 for predicting player market value.
- Evaluated model performance using an 80/20 train-test split and regression metrics.
- Designed Streamlit interface enabling interactive prediction and model visualization.
Timeline
Data Science Intern
LUMINAR TECHNOLAB
07.2025 - Current
Internship Student
SPECTRUM SOFTTECH SOLUTIONS PVT LTD
05.2023 - 05.2023
B.Tech - Computer Science
Mar Baselios Institute Of Technology And Science