Responsible for data analysis and the creation of statistical studies, utilizing various tools to enhance processes through effective management. Proficient in leading standardization (SDCA) and improvement (PDCA) initiatives, with a solid grounding in Lean Manufacturing and Six Sigma methodologies. Experienced in conducting training sessions, implementing quality management tools, and developing goal-tracking mechanisms in collaboration with stakeholders. Currently specialized in DataOps, focusing on automating business processes, fostering collaboration between development teams, and integrating data via ETL/ELT processes for analytical tool utilization. The objective is to optimize data pipeline performance, reduce information cycle time, enforce efficient process governance, and provide strategic insights to inform decision-making.

Competencies include expertise in statistics and machine learning, encompassing descriptive analysis, hypothesis testing (A/B), and both supervised and unsupervised machine learning. Proficient with data pipeline technologies such as MySQL, Postgres, Redshift, Snowflake, BigQuery, Airbyte, Airflow, Terraform, and DBT. Skilled in programming languages including Python, R, DAX, VBA, and M Language. Knowledgeable in big data technologies like Hadoop, Spark, and HDFS, and cloud platforms including AWS and Google Cloud. Experience with CRM and ERP systems, specifically Salesforce and SAP, and adept in data visualization tools such as PowerBI, Looker Studio, Streamlit, and Excel.