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Mohammad Hossain
Senior Data Scientist at Hanwha Q CELLS America Inc.
Professional Background
Mmh Gt is a highly skilled and dedicated professional data scientist and machine learning engineer with over four years of expansive experience in the field. With a strong foundation in machine learning and predictive modeling, Mmh specializes in utilizing advanced statistical techniques and innovative approaches to problem-solving across various domains. Currently serving as a Senior Data Scientist at Hanwha Q CELLS America Inc., Mmh focuses on implementing scalable predictive modeling strategies to enhance operational efficiency and drive informed decision-making within the organization.
Prior to joining Hanwha Q CELLS America Inc., Mmh honed expertise as a Data Scientist and Machine Learning Engineer at Cisco, where they contributed to significant advancements in data analytics and machine learning applications. Their experience includes a comprehensive background as a Data Science Intern at The Goodyear Tire & Rubber Company, where valuable insights into practical applications of data science were gained while working on real-world projects. Mmh’s role as a Research Assistant at Case Western Reserve University further solidified their skills in data science and machine learning methodologies, contributing to collaborative research efforts geared towards innovative solutions.
Mmh’s journey through academia, including a stint as a Graduate Teaching Assistant and Graduate Research Assistant at The University of Akron, highlights a commitment to nurturing future talent in the field of mechanical engineering and data science. Furthermore, Mmh’s multifaceted experience during their time as a LUM Coordinator at British American Tobacco and as an Industrial Trainee at GlaxoSmithKline Pharmaceuticals emphasizes their ability to adapt and apply data-driven strategies in diverse environments.
Education and Achievements
Mmh Gt’s educational background is impressively grounded in mechanical engineering, having pursued a Doctor of Philosophy (Ph.D.) in Mechanical Engineering at Case Western Reserve University, coupled with a Master’s Degree in the same field from the same prestigious institution. This extensive academic training has equipped Mmh with a robust understanding of engineering principles and computational techniques relevant to both the mechanical engineering and data science sectors.
Earlier in their academic career, Mmh obtained a Bachelor of Science in Mechanical Engineering from the Bangladesh University of Engineering and Technology (BUET), reinforcing a strong foundation that paved the way for advanced studies. Additionally, Mmh’s studies at The University of Akron played an integral role in developing their skills and providing them with significant hands-on experience.
Achievements
Throughout their professional journey, Mmh Gt has exhibited exceptional capabilities in several key areas, including data cleaning, munging, and visualization. Mmh is proficient in exploratory data analysis, optimization, feature extraction, and analyzing vast amounts of structured and unstructured data. They possess a strong command over the Hadoop ecosystem and are well-versed in time-series analysis and anomaly detection. Mmh Gt's contributions have not gone unnoticed. Their research work has significantly impacted the projects they have been involved in, ultimately leading to improved processes and outcomes for various organizations. Mmh exemplifies dedication, technical proficiency, and an unwavering commitment to leveraging data science to address complex challenges in the industry.