Experienced in product development and data science, I am a professional with expertise in problem formulation, data collection and analysis, visualization, and model development. My strong background encompasses areas such as information retrieval and recommendation systems, predictive maintenance, stock market prediction, device sentiment analysis, ETL pipelines, hypothesis testing, voice-based user interfaces, and sentiment analysis.Committed to upholding ethical data practices and compliance. Throughout my career, I have been instrumental in revolutionizing products and services, leading to the filing of multiple patents and spearheading transformative initiatives. Additionally, I have managed consultancy projects to optimize development cost and enhance user experiences using unsupervised learning and hypothesis testing techniques.I am proud to share the results of various activities undertaken, such as achieving a recall rate of 0.95 with our predictive maintenance model, increasing user click-through rates on recommendations by 50% through our recommendation system, and saving development costs by 80% while improving user interaction by 60% through product feature optimization using unsupervised learning methods.In addition to my professional pursuits, I have a strong interest in car racing and a deep affection for golf. I contribute to data science projects with the goal of making a positive social impact and serve as a mentor for aspiring data scientists through my involvement with WiDS Delhi—a community that organizes conferences and data challenges.I am always eager to connect with like-minded professionals over a cup of coffee. Feel free to reach out to me at atullh@gmail.com to discuss ideas, collaborations, or opportunities to drive innovation.Key Competencies:Python, Machine Learning, Scikit-Learn, Pandas, PySpark, Pytorch, Data Version Control, MatplotlibInformation Retrieval & Recommendation Systems, Predictive Maintenance, Financial Time Series Data ModelingExperiment Design & Analysis, Hypothesis Testing, Causal InferenceTeam Leadership, Research, InnovationAWS, Azure, Docker