👨‍💻 About Me

Data science professional with 2+ years of experience in machine learning, statistical modelling, data manipulation, ETL processes. Proficient in standard data tools and packages like Python, R, SQL, Tableau and Streamlit.

🛠️ My journey in data science began with a strong background in computer engineering, evolving into a passion for extracting insights from complex datasets. I specialise in building scalable and efficient machine learning models and deploying them on cloud platforms such as AWS and GCP. My experience spans multiple industries, including real-estate, fashion and healthcare, where I have consistently delivered actionable insights and optimised data processes. I am eager to apply my skills to new industries, embracing fresh challenges and opportunities for growth.

💻 Programming Languages: Python, R, Java, C++, JavaScript, SQL

🔧 Technologies & Tools: TensorFlow, Scikit-learn, PyTorch, Keras, Langchain, Streamlit, Django, Angular, RESTful APIs, FastAPI, PostgreSQL, MySQL, MongoDB, Apache Airflow, Apache Spark, Tableau, PowerBI, Docker, Kubernetes, Data Warehousing, Shell scripting, Documentation

☁️ Cloud: CI/CD, Git, Bitbucket, Gitlab, AWS: Sagemaker, Fargate, CodePipeline, S3, EC2, Lambda; GCP: AI Platform, Google Cloud Run, Google Cloud Build, Google Cloud Storage, Google Compute Engine, Google Cloud Functions;

🌐 Interests: Machine Learning, Deep Learning, NLP, LLM, RPA