Daniela Vargas Email & Phone Number

I am a mathematician, an AI specialist. I have more than 6 years of experience working with data in different industries: Product, Customer Experience and Fintech. Below I highlight some of the main tasks in which I have had the opportunity to perform in the different roles working with data:BUSINESS UNDERSTANDINGDefinition of objectives, management of requirements and procedures, identification of risks and limitations in science/analytics data projects.Documentation and communication of process, having the responsibility of closely understanding business problems and, through working with data, transforming them into analysis/solutions that provide information and insights for stakeholders.DATA UNDERSTANDING & DATA PREPARATIONDefine necessary data to collect, tracking implementation in product data context and pre-processing data. Reporting and data visualization. From the definition of metrics, conceptual alignment with stakeholders and different teams, report design, data processing and report construction.Define conceptual and implementation of data quality standards, tracking metrics and data QA procedures.Train and support teams and groups of students in different tools related to data. Conceptually transmit experiences and knowledge.Tools: Python, SQL, Tableau, Looker Studio, GCP, Snowflake, AWS, Google Sheets, Google GTM.DATA ANALYSIS & DATA MODELINGIdentification of business problems, planning the methodologies and development of solutions through research, simple or complex analysis and/or implementation of machine learning systems using statistical and computational tools, for example descriptive analysis, regressions, classification, segmentation of users, recommender systems, NLP, and anomaly detection.Definition, analysis and evaluation of A/B testing complete ecosystem analysisAutomation and optimization of data-related processes.Tools:, Python, Statistical Learning, Problem solving skills, SQL, Database knowledge, Gitlab, Machine Learning knowledge: classification, regression, modeling individual algorithms. Additionally, in the recent years I have been strengthening my knowledge in artificial intelligence, more specifically in Machine Learning, Deep Learning and in general terms, Reinforcement Learning through the use of Python in libraries such as Scikit-learn, Seaborn, PyTorch and TensorFlow. In order to continue learning from data technologies to continue delivering value in different industries by sharing my analytical vision and my knowledge in data.