I believe myself to be a highly skilled Data Scientist with a passion for transforming complex datasets into actionable insights. As a Data Scientist at DeepIQ, I apply my passion for data science and machine learning to enable clients in the O&G and mining sector to operate efficiently by providing them with astute data-driven solutions. I have been involved in multiple projects, such as creating a SaaS product for oil well planning, where I conducted exploratory data analysis, worked with SMEs, and produced knowledge graph database to generate well insights and recommendations.I have a strong engineering background, with a Master of Technology degree in Electrical Engineering from Indian Institute of Technology - India, specializing in Signal Processing. I also have a Nanodegree in Deep Learning from Udacity, and multiple certifications from Coursera in Python, Data Structures, and Neural Networks. I have published a paper on identifying the source cell-phone of recorded audio using passive signatures at the National Conference on Communications. I have prior experience as a Machine Learning Engineer and a Programmer Analyst Trainee, where I developed and applied various machine learning techniques for boundary delineation, road damage detection, bus route optimization, and anomaly detection.I am collaborative, adaptable and I thrive in cross-functional teams while continuously seeking opportunities to innovate and enhance business outcomes.