As a Data Scientist, I develop advanced data science solutions for the iGaming industry, focusing on both casino and sports activities. These solutions provide deeper insights into player behavior, enabling the company to offer more targeted, profitable products and bonuses. Additionally, I build models to monitor player performance on daily, weekly, and lifetime scales, proactively identifying and mitigating churn risks and potential profit losses.

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Worked on Data Science projects for Moove.io, a global mobility FinTech startup partnered with Uber. Developed sophisticated churn and scoring models to monitor user performance and lifetime behaviors, facilitating optimal car assignments. Conducted in-depth analysis of potential churn risks, profit losses, and market trends across key regions, including Nigeria, Ghana, South Africa, and India.

- Updating Python/R scripts- Teaching Python/R programming languages- Creating Interactive training environment

Working on Machine Learning/Deep Learning based projects

As a Machine Learning Engineer with expertise in Natural Language Processing (NLP) and Speech Technologies, I developed solutions that enhance Automatic Speech Recognition (ASR) systems. My experience spans working with large-scale text and voice datasets, ensuring they are optimized for creating high-quality ASR models, particularly for Azerbaijani and English languages.Key Skills:- Web scraping and data acquisition for text and audio datasets.- Cleaning and preprocessing large datasets for ASR model training.- Preparing text content tailored for user-friendly B2C applications to collect voice dataset using crowdsourcing.- Analyzing and optimizing voice datasets to support ASR development.- Collaborating on speech recognition models to improve accuracy and usability.

- Python, R, SQL, Big Data mentor- Preparing homework and case study tasks for students then grading their works- Making updates on training materials