Computer Engineer | Machine Learning | AIOps Intern
I am an AIOps Intern with a strong interest in Artificial Intelligence, IT Operations, and Data Science. I am passionate about building intelligent systems that improve performance, automate processes, and transform data into actionable insights.
I enjoy working on real-world problems involving data analysis, machine learning, monitoring systems, and automation. My goal is to grow as an AI-driven Data and AIOps professional while contributing to impactful technology solutions.
- Python Programming
- Data Analysis & Visualization
- Machine Learning Fundamentals
- Log Analysis & Anomaly Detection
- SQL & Database Handling
- Git & Version Control
- Languages: Python, SQL
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
- Tools: Jupyter Notebook, Git, VS Code
- Concepts: Data Cleaning, Exploratory Data Analysis, Model Building, Monitoring Systems
- Applying Machine Learning in AIOps environments
- Building intelligent monitoring and anomaly detection systems
- Strengthening problem-solving and system design skills
- Exploring cloud and automation technologies
Open to internships, collaborations, and opportunities in AIOps, Data Science, and Machine Learning.