- Data Scientist driven by curiosity and a relentless pursuit of innovation in data analytics. - Over 2 years of experience in building machine learning models and conducting statistical analyses to fuel organizational success. - Proficient in Python, TensorFlow, Keras, SQL, and Agile methodologies, with a strong foundation in exploratory data analysis (EDA) and statistical modeling. - Developed data-driven solutions at Honeywell Technology Solutions, utilizing deep learning techniques for predictive maintenance, smart grid stability, and advanced drone detection systems. - Recognized for team contributions, including receiving accolades from Airbus for successful project delivery. - Green Belt Certification in Six Sigma, underscoring a commitment to quality and efficiency. - Expert at driving the adoption and enforcement of Scrum rules, removing impediments, and fostering self-management. - Participated in scrum meetings, sprint planning, sprint reviews, etc. - M.Tech in Data Analytics from the National Institute of Technology, Trichy, where I honed skills in data manipulation, machine learning, and project management. - Co-authored and presented a research paper on "Outcome Classification in Cricket using Deep Learning" at the IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) 2019. - A proactive problem-solver who thrives in collaborative environments, always on the lookout for synergistic collaborations. - A team player with strong interpersonal and communication skills, proactive in taking up new challenges. - Excellent time management skills, adept at balancing multiple projects and meeting tight deadlines without compromising quality. - Passionate about mentoring and sharing knowledge with peers, contributing to a culture of continuous learning and improvement. - Open to discussions about exciting ventures, groundbreaking projects, or the fascinating world of data.