Gilu George
Dubai
Summary
A results-oriented professional with 4 years of experience in software development and application support. Currently pursuing a degree in Data Science and Machine Learning. Seeking an internship in data science to apply my technical skills in programming, data analysis, and machine learning to solve real-world challenges.
Overview
8
8
years of professional experience
Work History
Data Science and Machine Learning Student
University of Maryland
03.2024 - Current
- Exploratory Data Analysis (EDA): Conducted EDA on various datasets, identifying patterns, trends, and outliers, and preparing data for further analysis.
- Hypothesis Testing: Applied statistical methods to test hypotheses and draw conclusions, ensuring validity and accuracy in results.
- Predictive Modeling: Assisted in building and validating predictive models using regression, classification, and clustering algorithms to solve business problems.
- Statistical and Machine Learning Techniques: Utilized algorithms like Linear Regression, Logistic Regression, K-Means Clustering, and Random Forest to analyze and model data for insights.
- Data Visualization: Created clear and compelling visualizations using Matplotlib, Seaborn, and Tableau to communicate data findings and actionable insights effectively.
Senior Application Analyst
Accenture
02.2020 - 08.2021
- Collaborated with development teams to alter code and add new functionalities in applications, which contributed to better system performance.
- Utilized tools like SQL, Java, and Spring to write scripts for automated monitoring and debugging.
Senior System Engineer
Infosys
03.2017 - 01.2020
- Worked in a cross-functional team to ensure smooth production support and resolve application issues.
- Assisted with the application support and enhancement of health insurance claims applications.
Education
Executive PG in Data Science And Machine Learning -
University of Maryland
05-2025
Bachelor of Technology-Electronics & Communication -
MG University
08.2016
Skills
- Programming Languages: Java, Python
- Tools/Frameworks: Spring, Pandas, NumPy
- Data Analysis: Statistical Analysis, Predictive Modeling
- Machine Learning: Supervised and Unsupervised Learning, Regression, Classification, Clustering,
- Model Validation: Cross-validation, hyperparameter tuning, and performance evaluation metrics like precision, recall, F1-score
- Database: SQL, MySQL
- Version Control: Git, GitHub, Jupyter Notebooks
- Other: Excel, Tableau
Projects
- Visualization and Storytelling assignment: Created dashboards in Tableau as well as analyze the data in Python to discover interesting insights for the Airbnb listings in the city of Amsterdam.
- Mobile App Efficacy: Applied Visualization and statistical skills to help a global hotel chain determine the efficacy of its proposed mobile app.
- House price prediction : Predicted the price of houses that were sold in the Ames region in the USA using Linear regression,Regression tree and k-NN model.
Languages
English
French
Hindi
Arabic
Timeline
Data Science and Machine Learning Student
University of Maryland
03.2024 - Current
Senior Application Analyst
Accenture
02.2020 - 08.2021
Senior System Engineer
Infosys
03.2017 - 01.2020
Executive PG in Data Science And Machine Learning -
University of Maryland
Bachelor of Technology-Electronics & Communication -
MG University
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