I am a highly experienced Machine Learning Engineer with over 10 years of experience in building successful algorithms and predictive models for various industries. I have a strong background in clustering and classification, web scraping, data analysis, and visualization, which have helped increase business efficiency.
Throughout my career, I have been passionate about applying ML techniques and algorithm development to solve real-world business problems. I have a proven track record of success in predicting stock prices with 98% accuracy, determining optimal pricing strategies, and developing high-performance ML systems to detect abnormality, intrusion, fraud, and malware.
One of my notable achievements includes developing an algorithm to understand customer behavior, leading to a 95% success rate in targeted marketing campaigns. I have also conceptualized and implemented a sentiment analysis tool to rate the financial competence of companies and originated a recommendation engine for financial services.
