Data Scientist with over 5 years of experience in compiling, transforming, and analyzing complex datasets to drive impactful business outcomes. Proven expertise in machine learning, large-scale data management, and delivering innovative, data-driven solutions to solve complex business challenges. Skilled in leading cross-functional projects, guiding teams, and driving measurable impact through advanced analytics, model development, and strategic decision-making.
Programming Languages:
SQL, Python, R, Spark
Data Science and Machine Learning:
A/B Testing, Anomaly Detection, Data Mining, Statistical Analysis, Natural Language Processing, Predictive Analytics, Anomaly Detection, Model Explainability, Recommender Systems, Neural Networks, Knowledge Graphs, Experimentation
Tools and Software:
Airflow, Azure, Databricks, Neo4j, AWS, Visual Studio, CosmosDB
Data Visualization:
Tableau, Metabase, PowerBI, Amazon Quicksight, Looker, Microsoft Excel