- Applied data models, algorithms to develop machine learning solutions as a member of data scientist team,- Built ETL infrastructure and delivered data to each department via Tableau and prepared live dashboads for data visiualization,- Involved in manipulating, cleansing & processing of data using Excel, Access and SQL,- Coded SQL queries to extract data and identify granularity issues and relationships between datasets and recommended solutions,- Designed and maintained comprehensive dashboards and metrics to enable real-time business,- Using Python as programming language, MySQL, SQLite and PostgreSQL as relational database, AWS as cloud system and Tableau for visualisation,

- Organized and conducted machine learning pipeline, with a focus on data preparation, model training and optimization, successfully used visualization techniques to inform and give intuitions to stakeholders,- Engaged in big data ecosystems such as Hadoop/Spark and used Hive for data import, cleaning, wrangling; implemented machine learning models using Spark MLlib,- Using PowerBI/Tableau for visualization and dashboard preparing,- Performed exploratory analysis and feature engineering to fit best models on Python,- Used Python as programming language, PostgreSQL as relational database and PowerBI/Tableau for visualisation,