Embarking on an exciting journey as a Machine Learning Engineer at Abecedarian in Boston, I've leveraged my data science expertise to spearhead innovative solutions in policy recommendation systems and sustainable technology. With a solid foundation in advanced analytics, I've developed architectures that manage over 100 GB of remote sensing data, enhancing model accuracy and performance on platforms like AWS and Databricks. My professional path includes impactful experiences as a Data Science & Analytics Intern at GHD, where I was instrumental in creating AI-driven tools for environmental sustainability. This role enabled me to hone my skills in Azure Machine Learning, leading to the development of a custom chatbot that streamlined data inquiries and significantly improved forecasting accuracies for weather and water usage through sophisticated predictive models. While contributing to these roles, I've continually embraced opportunities to enhance my skillset, including participating in high-stake hackathons where my projects have been recognized for their innovative approach to sustainability, securing a top-four placement among 2300 participants. My technical toolkit is replete with proficiency in Python, SQL, R, and an array of machine learning frameworks such as TensorFlow, Keras, and PySpark. I am adept in utilizing cloud technologies like AWS, focusing on services like EC2, Lambda, and Redshift, which empower me to build scalable, efficient data handling solutions. At Northeastern University, I expanded my knowledge and applied it practically as a Teaching Assistant, guiding students in Python and SQL, crucial tools for data analysis and optimization. The culmination of these experiences contributes to my ongoing commitment to delivering data-driven solutions that not only meet but exceed the expectations of stakeholders and significantly impact the broader tech landscape. Whether it’s through optimizing machine learning models or developing innovative applications, my career is dedicated to exploring the convergence of data science and practical application in real-world scenarios. GitHub: https://github.com/pareekshitreddy Portfolio: https://pareekshitreddy.github.io/portfoliowebsite.github.io/index.html Leetcode: https://leetcode.com/u/pareekshitreddy/