Manas Dalal
About Manas Dalal
Manas Dalal is the Director of Data Science at SambaSafety, with expertise in data visualization, statistical modeling, and machine vision. He has held various positions in data science and engineering across multiple companies and has a strong academic background in Electrical and Electronics and Satellite Communications.
Work at SambaSafety
Manas Dalal serves as the Director of Data Science at SambaSafety since 2022. In this role, he leads data science initiatives and drives digital transformations within the organization. His responsibilities include overseeing data-driven projects and collaborating with cross-functional teams to enhance operational efficiency. Dalal's expertise in advanced data science techniques supports SambaSafety's mission to improve safety and compliance through innovative data solutions.
Previous Experience in Data Science
Before joining SambaSafety, Manas Dalal held several key positions in data science. He worked at Collision Management Systems as the Lead Data Scientist from 2019 to 2021 and later became the Head of Data Science from 2021 to 2022. His tenure at Visio Ingenii as a Senior Research Engineer from 2013 to 2019 further solidified his expertise in the field. These roles involved applying statistical modeling, machine vision, and sentiment analysis to drive data-driven decision-making.
Education and Expertise
Manas Dalal has a solid educational background in Electrical and Electronics. He studied at Indus University Ahmedabad and Gujarat University, earning a Bachelor of Engineering degree from 2006 to 2010. He furthered his education at the University of Sussex, specializing in Satellite Communications and Space Systems from 2010 to 2012. His academic foundation supports his extensive skill set in programming languages and tools, including MatLab, Python, R, and Azure ML Studio.
Technical Skills and Specializations
Manas Dalal possesses a diverse range of technical skills relevant to data science. He is experienced in using advanced technologies such as YOLO, NLP, and deep learning frameworks like Keras and TensorFlow. His proficiency in programming languages, including C, C++, and Python, complements his expertise in data visualization and statistical modeling. Dalal specializes in neural networks and machine vision, making him well-equipped to tackle complex data science challenges.
Professional Relationships and Communication
In his professional capacity, Manas Dalal focuses on building and nurturing relationships with cross-functional teams. He emphasizes effective communication and stakeholder management, which are essential for successful project execution. His ability to collaborate with diverse teams enhances the impact of data science initiatives and fosters a culture of innovation within the organizations he has worked for.