Created a tool (API) to automate the provision of access to internal data for company employees.

ed the end to end design and implementation of data science models for scalable use across the company. Key skills used in all projects: Python, SQL, data cleaning and preparation, data analysis. • Selected Project Experience: o Built a model for product price prediction for the next 1 month time frame to enable the seller team to optimize the timing of when products are sold; increased revenue by ~3% for products selected in the model. Specific skills used: Feature Selection, DBSCAN, . o Created and implemented model for optimisation manufacturing process of urea which led to decrease of production cost up to 10%. Specific skills used: Feature Selection, Neural Network, Differential Evolution algorithm. o Implemented a model for automating support ticket routing which increased efficiency of the support department by ~60%. Specific skills used: Fast API, TFIDF, PCA, Kernel SVM, Genetic Algorithm, Boosting, Recurrent Neural Network. o Constructed a data pipeline for the CI/CD process for ML projects which decreased the internal cost for the IT department by ~$10000/month. Specific skills used: MLops, MLflow, Docker, Linux. o Designed an algorithm for organization network analysis which help to identify informal leaders of the organization and helps to organize work on projects more efficiently. Used: Levenshtein distance, NetworkX. o Initiated a model for assessing the currency risks which saved the finance team ~5% on international payments. Specific skills used: Feature Selection, LDA, Neural Networks.

Developed a customer facing API to obtain analytics; API currently being used by the entire company. Created a microbatch IoT data pipeline including architecture design and business metric calculations.