I am a seasoned Python developer skilled at leveraging Machine Learning models using scikit-learn library and TensorFlow, to enhance my development expertise. I specialize in designing predictive models for anomaly detection/classification, clustering and time series forecasting; along with creating reusable model components for integration into larger applications. My technical background includes 3+ years of commercial software development experience focused on web application backend development using Flask framework, building APIs using Django REST Framework, and automating data engineering tasks using Airflow and Apache Spark. Additional areas of knowledge include data visualization using Plotly & Bokeh libraries and deployment techniques like containerisation via Docker. I am comfortable communicating through most media including email, chat platforms like Slack or Discord or even remote meetings via video conferencing suites.

My value proposition involves offering high-quality work, fast turnaround times, fair cost structures, transparency, honesty and ethical behavior from start to end delivery phase of every project. By partnering together we can create innovative solutions while reducing costs associated with physical office spaces, HR management and administrative overheads for you while benefiting me with growth opportunities. Get in touch today and we can explore possibilities further.