• Working with a Netherlands-based company in an English Speaking Environment.• Performing outlier detection on retail/e-commerce processes.• Conducting statistical tests to determine the relationship between metrics.• Coding SQL queries and implementing data mining to make insights for the retail processes.

• Implemented a churn prediction model by exploring the aspects that influence client subscription and churn, and used PCA to decrease the complexity and increased robustness of machine learning models of churn analysis.• Conducted customer segmentation using Kmeans clustering algorithm and performed a cohort analysis with RFM.• Developed resume parsing with Language Processing (NLP) techniques such as the NER model.• Created different models including Logistic Regression, Random Forest, Support Vector Machine, and Neural Networks algorithms; used pipelines and compared model performances, and adjusted hyper-parameters to obtain improved outcomes.

• Implemented price prediction model using regression algorithms on Python Machine Learning libraries and deployed the model with Streamlit on AWS EC-2.• Wrangled data, worked on large datasets with Hadoop/Spark, analyzed trends by making visualizations using Python libraries like Matplotlib, Seaborn, Dash, and Plotly.• Wrote and optimized SQL queries, conducted detailed analyses and created dashboards with Tableau based on customer needs.

• Led the weapons department and carried out Guided Missile and Gun System operations.• Analyzed the statistics of the guided-missile and gun fires of the ship by utilizing the database of the Combat Management System and created dashboards to advise the commanding officer.• Collaborated with R&D teams on artificial intelligence projects for Combat Management Systems.