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I'm a seasoned hands-on data scientist, technical strategist and solutions delivery leader with 7+ years' combined experience working with data and successfully executing high-impact data and AI initiatives. I've worked across data analysis, quantitative research, data science and engineering, data & AI strategy consulting, and machine learning system design and solution delivery, with proven success in the design, development and deployment of advanced analytics solutions, enterprise-scale data products, multi-phased AI projects, and data-driven decision making systems. I currently lead the data science org at Periculum, where we build the analytics and machine learning infrastructure that enables companies seamlessly solve the challenges of financial and social inclusion in underserved markets. Along with my rich technical experience, I have academic backgrounds in physics, mathematics and statistics. I'm well versed in the theory and practical implementations of best-in-class data science methodologies, with excellence connecting technical workflows and workloads to strategic business outcomes. I enjoy leveraging data and AI to drive strategy and create competitive values, while driving the organisational convergence of people, processes and systems. I'm a strategic thinker for complex problem solving, creating data science value streams across product delivery lifecycles and helping companies take technical strategy from plan to prototype to profitability. ๐๐ ด๐ ฒ๐ ท ๐๐๐ ฐ๐ ฒ๐ บ โข ๐ฎ๐๐๐๐๐๐: Python, MATLAB, SQL, dbt, PySpark, Docker, Airflow, Git, Streamlit, Fast API. โข ๐ช๐๐๐๐ : AWS, GCP, IBM Cloud, Oracle CI. โข ๐ด๐ณ: TensorFlow, Pytorch, SHAP, PyMC3, DoWhy, Apache {SparkML, SystemDS}, etc. โข ๐ด๐ณ๐ถ๐ท๐: MLFlow, Seldon, Kubeflow, Deepchecks, NannyML, Databricks, DataRobot, SageMaker, etc.
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