Atul George Thomas

About :

Motivated and detail-oriented Data Analyst with a solid foundation in Computer Science and hands-on experience in full-stack Software Development, Machine Learning, and Data Analytics. Equipped with a keen eye for detail and a passion for extracting actionable insights from complex datasets, I am committed to leveraging my skills to drive data-driven decision-making and contribute to the success of IT-related projects or teams.

Experience:

Data Analytics Intern - Kochi Metro Rail, Kochi,India
(04/2021 - 07/2021)

• Conducted exploratory data analysis and built predictive models to forecast customer demographic data using remote sensing data, population size demonstrating proficiency in machine learning techniques.
• Collaborated with experienced developers to automate document formatting using OpenXml SDK in .NET, enhancing efficiency in backend development processes.

Education:

Master of Science in Computer Science (Distinction) - Queen Mary, University of London, London
(2023)

• Achieved consistently high academic performance, with a focus on machine learning, software development, and database management.
• Developed a custom object detector using YOLO and implemented a Flask API to retrieve predictions, showcasing expertise in machine learning and API development.
• Dissertation: LSTM networks to predict stock market volatility and performance 
  Grade: Distinction

Technical Skills:

• Programming Languages: Python, Java, SQL, PHP, JavaScript, HTML
• Tools & Technologies: Git, GitHub, Laravel, .NET, Android Studio
• Data Analytics & Visualization: Pandas, NumPy, Matplotlib, Power BI, Tableau
• Machine Learning: Scikit-learn, TensorFlow, Keras
• Database Management: MySQL, SQLite

Soft Skills:

• Strong problem-solving abilities and analytical thinking.
• Effective communication skills, with experience in handling customer demos and feedback.
• Proven ability to work collaboratively in cross-functional teams and adapt to diverse work environments.

Personal Projects:

• Developed a web-based application to predict stock market prices using machine learning algorithms.
• Implemented a sentiment analysis tool using natural language processing techniques to analyze customer feedback.
• Created a data visualization dashboard to track and analyze COVID-19 trends using real-time data.
• Black-Scholes Model in Python
• S&P 500 Movement Indicator
• 2023 UK CPI Predictor

Overall, I am a proactive and adaptable Data Analyst with a passion for leveraging technology and data to drive meaningful insights and solutions. I am eager to apply my skills and enthusiasm to contribute to the success of IT-related projects or teams.


Special Skills I've developed:

1. Financial Data Analysis: Proficient in analyzing large datasets, identifying trends, and extracting valuable insights to support strategic decision-making.
2. Software Development: Skilled in full-stack development, including front-end and back-end technologies, to create robust and scalable applications.
3. Project Management: Experienced in leading cross-functional teams, managing project lifecycles, and delivering projects on time and within budget.
4. Data Visualization: Expertise in creating visually appealing and interactive dashboards to communicate complex data insights effectively.
5. Machine Learning: Knowledgeable in machine learning algorithms and techniques, capable of developing predictive models to drive business outcomes.
6. Financial Technology (FinTech): Familiar with FinTech trends and technologies, including blockchain, cryptocurrencies, and algorithmic trading.
7. Communication and Collaboration: Excellent interpersonal skills, adept at collaborating with stakeholders across various departments to achieve common goals.
8. Continuous Learning: Commitment to staying updated with the latest industry trends and technologies, continuously improving skills, and pursuing professional development opportunities.

Data Analyst - Kochi Metro Rail, Kochi
(04/2021 - 04/2022)

• Conducted exploratory data analysis and built predictive models to forecast customer demographic data using remote sensing data, population size demonstrating proficiency in machine learning techniques.
• Collaborated with experienced developers to automate document formatting using OpenXml SDK in .NET, enhancing efficiency in backend development processes.

My education comprises a Bachelor of Science in Computer Science from Queen Mary, where I graduated with Distinction. Throughout my academic journey, I maintained consistently high performance, focusing on areas such as machine learning, software development, and database management.This educational background has equipped me with a strong foundation in computer science and prepared me for a career in data analysis and software development.