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Every day I push myself to learn something new, whether that be about data engineering, cloud computing, or miscellaneous facts about technology. Building robust data pipelines and leveraging the cloud to manage and process data at scale is something that I am truly passionate about. Implementing efficient ETL processes and utilizing cloud services are some techniques that I use to achieve this.

My hobbies are photography, working out, and connecting with new people.

• 🛠 I’m currently exploring Data Engineering.
• I’m currently learning Azure Cloud Computing.
• 👨‍💻 All of my projects are available at My Portfolio.
• 💬 Ask me about anything, I would be glad to help (if I could ✨).
• 🎤 Quote: "Keep Moving Forward"
• ⚡ Fun fact: I love Photography, Working out, and Connecting with New People.
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• 🚗 How to reach out to me:

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Languages: Python , C++, C.
Data Engineering and Cloud Computing: Azure Data Factory, Databricks, Synapse Analytics, Azure SQL Database, Data Lake, Blob Storage
Data Visualisation an Data Processing: pandas, numpy, matplotlib, seaborn, plotly.
Machine Learning Algorithms: Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, kNN, K-Means, Random Forest, Gradient Boosting Algorithms.
Time-Series Forecasting: Facebook Prophet.
Image Processing: OpenCV.
Web Dev: HTML, CSS, Streamlit.
Deployment: Github, Heroku.