I am a data science enthusiast and a recent MS Business Analytics graduate from the University of Texas at Dallas, where I mastered advanced techniques and tools for data analysis, modeling, and visualization. I am passionate about applying my skills to solve challenging business problems and generate insights that drive value and impact.Previously, I worked as a Machine Learning Engineer at Deloitte India, where I leveraged machine learning and artificial intelligence to develop APIs for AWS code whisperer, a 100% complete product that automates code generation. I also analyzed business requirements and built functional and technical designs to implement OFSAA configurations and PFT rules, and performed variance analysis and root cause analysis for regulatory reporting with 98% accuracy. Additionally, I have experience in data science projects involving clustering analysis, neural networks, and predictive modeling using Python, R, SQL, Tableau, and IoT. I have also published a research paper on breast cancer detection using digital image processing and machine learning algorithms.I am seeking full-time opportunities in the data science domain, where I can contribute to the growth and success of an organization with my analytical, technical, and problem-solving skills. I am also eager to learn from the best practices and innovations in the field, and to collaborate with diverse and talented teams.
Listed skills include Artificial Neural Networks, Neural Networks, Amazon Web Services, Data Science, and 43 others.