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Prasasti Choudhury
Data Science Enthusiast - Data Analytics - Python - Machine Learning - SQL - Tableau - Software Engineer at RBEI
Professional Background
Prasasti Choudhury is a highly skilled software engineer with over three years of professional experience in the automotive embedded domain. With a strong foundation in data science, Prasasti has honed their skills to become an adept problem solver, utilizing data analytics, machine learning, and statistical modeling techniques to address complex real-world challenges. Currently working as a Software Engineer at Robert Bosch Engineering and Business Solutions Private Limited, Prasasti has made significant contributions to projects that leverage data for enhanced decision-making and operational efficiency.
In their previous role as an Associate Software Engineer at the same organization, Prasasti demonstrated their capability to work collaboratively in dynamic team environments while continuously seeking opportunities for personal and professional growth. With a focus on implementing innovative solutions and a passion for technology, Prasasti has successfully navigated the fast-paced world of automotive engineering.
Education and Achievements
Prasasti’s academic journey showcases a commitment to excellence and a strong analytical foundation. Graduating with a Post Graduate Diploma in Data Science from the prestigious International Institute of Information Technology Bangalore, Prasasti achieved an impressive CGPA of 3.94 out of 4, reflecting an outstanding grasp of essential concepts in data analysis, statistical techniques, and machine learning.
Prior to this, Prasasti completed a Bachelor of Technology (BTech) in Electrical, Electronics, and Communications Engineering from the Kalinga Institute of Industrial Technology, Bhubaneswar, where they earned a commendable CGPA of 9.08. This strong technical background has been instrumental in shaping their approach to software engineering and data analytics, equipping them with the necessary skills to excel in the field.
Prasasti's foundational education includes a remarkable performance at St. Xavier's School in Burdwan, where they achieved an impressive 93.8% in their secondary education. Their academic journey was further bolstered during their studies at The Future Foundation School, India, where they excelled with a 96.5% score, showcasing their consistent pursuit of knowledge and excellence from an early age.
Technical Skills
Prasasti Choudhury possesses a diverse skill set that makes them a valuable asset in the field of data science and software engineering. They are proficient in various data visualization tools, including Tableau and Power BI, which allows them to extract meaningful insights from complex data sets and present findings in a clear and impactful manner. This expertise aids in decision-making processes, enabling organizations to understand trends and make informed choices.
Prasasti’s passion for technology is matched by their strong analytical and problem-solving skills, enabling them to tackle intricate problems with a methodical approach. This analytical mindset, combined with their technical prowess, makes them an effective contributor to any project involving data-driven decision-making.
Notable Achievements
Throughout their career, Prasasti has remained committed to continuous learning and professional development. They have successfully implemented data analytics and machine learning solutions that have led to tangible improvements in project outcomes. Additionally, their ability to work effectively in team settings has garnered recognition among peers and supervisors alike, showcasing their collaborative spirit and dedication to achieving project goals.
Prasasti’s journey reflects a strong promise for future contributions in the field of data science and software engineering. With a proactive mindset and a focus on bringing innovative ideas to fruition, they are poised to make substantive impacts in their professional endeavors.
tags:[
Automotive Embedded Domain
Data Science
Software Engineering
Machine Learning
Statistical Modeling
Data Visualization
Tableau
Power BI
Analytical Skills
Problem Solving
Electrical Engineering
Communications Engineering
Robert Bosch Engineering
