Sujithkumar Muthukumar Chettiar
Catania,Italy
Summary
Data Science student familiar with data visualization, and statistical analysis, seeking an internship in Data Analyst. Experienced in data preprocessing, modelling, and evaluation. Familiar with Python and SQL. Eager to contribute to innovative projects and gain practical experience.
Overview
1
1
year of professional experience
1
1
Certification
Work history
Data Analysis Intern
ISKCON Chowpatty
Mumbai
12.2021 - 12.2022
- Assisted in collecting, cleaning, and analyzing large datasets using SQL queries to extract meaningful insights
- Evaluated machine learning models for predictive modelling and classification tasks using Python and R
- Created interactive data visualizations and dashboards using Tableau to communicate findings
Education
Masters of Science - Data Science
University of Catania
Bachelors of Science - Information and Technology
University of Mumbai
Skills
- Programming Language: Python, R, SQL, Matlab
- Data Visualization: Tableau, PowerBI, Matplot, GGplot
- Machine Learning: PyTorch, Numphy, Pandas
- Deep Learning: CNN, RNN
- Statistical Analysis: Regression Analysis, Hypothesis Testing
- Cloud platform: AWS
Certification
- Java Fundamentals, (IBM), 2022, (Demonstrating proficiency in core concepts and syntax of Java)
- Software Engineering, (Aptech Computer Education), 2022, (Demonstrating proficiency in fundamental principles and practices of JS, python, Bootstrap, .NET etc)
Projects
- DATA Analysis for Rock Dataset, (University of Catania): Cleaned and preprocessed the data to remove missing values and outliers., Used descriptive statistics and data visualization techniques to identify trends and patterns in rock compositions.
- Big DATA Visualization, (University of Catania): Conducted Big Data analytics using Tableau on an IPL dataset containing match statistics., Created interactive dashboards and visualizations to analyze player performance, team dynamics, and match trends.
- Deep Learning Analysis, (University of Catania): Analyzed the classification of cats into different groups (hybrid, domestic, and wild) based on visual patterns., Preprocessed image data and implement convolutional neural networks (CNNs) using frameworks PyTorch to extract features, and classify cats.
Timeline
Data Analysis Intern
ISKCON Chowpatty
12.2021 - 12.2022
Bachelors of Science - Information and Technology
University of Mumbai
Masters of Science - Data Science
University of Catania
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