Data Science | Machine Learning
Request a quote with no obligation
Proficient in AI and Machine Learning, NLP Methods, Statistical Modeling, Software Development, Agile Methodologies, Cloud Technologies, Business Intelligence Reporting, Spatial Analysis and Management.
Engagement with multiple stakeholders including, Data Engineering, Marketing, Operations, Sales, Human Resources, Product and Compliance.
I have developed and deployed several AI and Data products:
● Strong technical leadership and management experience in developing and deploying machine learning and NLP projects: Python, TensorFlow, Keras, ScikitLearn, AWS SageMaker, Spark (MLLib), Docker and Kubernetes
● Experience with state-of-the-art deep learning methods (CNN, Autoencoders), natural language processing (OpenAI models, Hugging Face, LangChain, RNN, LSTM, BERT, Transformers), and other machine learning algorithms
● Experience with MLOps frameworks (Kubeflow, MLFlow) in building MLOps pipelines
● Experience with big data technologies (HDFS, Hive, HBase) and cloud solutions (Big Query, AWS, Azure)
● Several years of management and mentorship on multiple Data Science/Statistical modeling related projects that use SAS, Python, R, RapidMiner and SPSS
● Acuity in data analysis (write complex SQL queries), creating summaries, and data visualization (e.g., Tableau)
● Excellent communication and presentation skills; recognized ability to interact with multiple stakeholders at all levels of the organization including senior executives
● An interdisciplinary approach to problem solving, self-learning, and astuteness in understanding and augmenting the capabilities of the team to champion high-impact business initiatives
