Dedicated and results-driven professional with over 1 year of experience in the United States working at ImeBrands, specializing in data analysis and machine learning with a focus on Amazon, Walmart, and eBay data. Actively involved in optimizing marketing strategies, sales performance, and customer engagement through A/B tests and time series forecasting. Engineered ML algorithms for Buy Box prediction and utilized deep learning for basket analysis, product recommendation and conducted RFM and cohort analyses to segment customers. Additionally, brought 6 years of experience in the analysis and interpretation of complex biological data and statistical analysis. This required me to use a lot of data analysis techniques, which are very similar to those used in data analytics. Worked with big datasets, cleaned and processed the data, and used statistical methods and machine learning to find important patterns. Expertise in SQL, Tableau, and Power BI enables effective analysis, visualization, and communication of data-driven insights. Dedicated to leveraging advanced analytical techniques to drive business growth, optimize processes, and enhance decision-making.Experience encompasses machine learning, deep learning, NLP, and LLM using cutting-edge tools like Keras, TensorFlow, PyTorch, SciPy, Scikit-learn, and PySpark. Extensive background in intensive statistics and biological data modeling within the bioinformatics field. Additionally, adept at deploying models using platforms like Streamlit and Docker, with experience in AWS cloud systems for scalable and efficient data solutions.Committed to continuous learning and adapting to new technologies, ensuring a position at the forefront of the data science field.