I am currently employed as a data scientist and have diverse experience
extensive experience in the areas of projects, data engineering and
data science. Throughout my career, I have successfully undertaken
several projects involving the creation of machine learning models.
Some notable examples include Demand Forecasting, Fraud
In-app payment detection, property price prediction, delivery
Estimation time modeling (ETA), customer retention analysis and
dynamic pricing strategies, probability model of an alert becoming an incident, alert prediction and a probability model of possible diagnoses for such an incident.
In addition to my project experience, I have honed my programming skills in several languages, including Python, Spark, SQL, and R. These programming languages have been instrumental in enabling me to effectively manipulate and analyze data, as well as build robust machine learning models.
Overall, my professional background encompasses a wide range of projects and expertise in data science, data engineering, and programming, allowing me to tackle complex challenges and deliver impactful results.More...