As a dedicated Data Scientist & AI Professional, I leverage my expertise in machine learning, artificial intelligence, and advanced analytics to drive data-driven decision-making and innovation. With a strong foundation in Python, R, and SQL, I have successfully led multiple projects that have not only optimized operational efficiencies but also significantly boosted the company’s profitability. My passion for uncovering actionable insights from complex datasets has enabled me to develop predictive models and algorithms that have transformed business strategies and outcomes.One of my most notable achievements includes spearheading a project that utilized machine learning to enhance customer segmentation and targeting, resulting in a 20% increase in sales revenue. By collaborating closely with cross-functional teams, I ensured that our data-driven solutions were seamlessly integrated into the company’s workflows, leading to more informed and strategic decision-making. My commitment to continuous learning and staying abreast of the latest industry trends has been instrumental in driving innovation and maintaining a competitive edge for Microsoft.I am passionate about using data to solve real-world problems and am always eager to take on new challenges that push the boundaries of what is possible. Whether it’s through developing cutting-edge algorithms or mentoring junior data scientists, I am dedicated to making a meaningful impact and contributing to the success of my team and organization.Programming languages: C, C++,Python, Java, Go.ML Libraries: NumPy, Pandas, Matplotlib, Seaborn, SciPy, TensorFlow, Karas, Scikit-Learn, Scrapy,Dask,PyTorch.Database technologies: SQL, Amazon Redshift, MangoDB,Kafka, Hadoop.