Marc H.

Senior Data Scientist @Kyndryl

Implemented AI end-to-end solutions (data ingestion, data cleaning, Exploratory Data Analytics, feature engineering, Model creation/training/testing and model serving) to tackle business problems ex : churn prediction (to predict whether a customer will churn or not), predictive maintenance (To classify and forecast when a component will require maintenance), Smart Return Indicator (to predict whether an order will be returned or not), Loyalty Analysis, Sales forecasting, Real-time Machine Monitoring, Inventory optimization (to predict when the level of stock will be lower than a threshold to avoid disruption)- Implemented and integrated generative AI solutions like chatbots, image generation, Natural Language to SQL- Led a MLOps track for seamless deployment and management of AI Services using open source services (Kafka, Apache Beam, MLFlow, Airflow, kubeflow, GitHub, ArgoCD, BentoML, prometheus, Grafana)- Led and Deployed end-to-end LLMOps frameworks and solutions- Containerized AI solutions and models to enhance portability and scalability of solutions- Implemented BI and Data Analysis dashboards with Grafana, Kibana, Looker, PowerBI- Technologies and tools : GCP, AWS, ElasticSearch, Grafana, kibana, Prometheus, Docker, Airflow, MLflow, Python, PowerBI