Suggestions
Rishabh Sisodia
Spec Analytics Analyst at Citi
Professional Background
Rishabh Pratap Singh Sisodia is an accomplished data enthusiast with extensive expertise in harnessing abstract concepts and transforming them into practical solutions that provide significant value and impact. With a strong foundation in data analysis and machine learning, Rishabh has developed numerous Python applications and machine learning models tailored to offer scalable and long-term solutions across various industries. Rishabh's professional journey encompasses a wealth of experiences with prominent institutions and corporations, including the National University of Singapore, Varroc Group, G4S, and LogicFruit, which have all contributed to broadening his industrial expertise.
In his current role as a Spec Analytics Analyst at Citi, Rishabh is at the forefront of leveraging data analytics to drive business performance and operational excellence. He has previously held positions including Tech Program Analyst for Big Data and Business Analyst at Citi, where he efficiently employed his analytical skills to draw insightful conclusions from complex datasets. His diverse background also includes a position as a Market Research Intern at G4S India and a Team Lead at Innovation Labs, showcasing his ability to engage with teams and lead projects that align with organizational objectives.
Rishabh's knowledge extends beyond analysis and technology; he actively participates in research initiatives that push the boundaries of existing methodologies. Notably, he presented a groundbreaking paper on the Joint Detection Classification Model for audio tagging at ICASIC'20, which highlights his commitment to advancing the field of data science. By continually fostering his passion for data analysis and his endeavor to uncover innovative solutions, Rishabh remains a valuable asset to any organization he collaborates with.
Education and Achievements
Rishabh Pratap Singh Sisodia's academic qualifications are a testament to his dedication and prowess in the field of engineering. He obtained his Bachelor of Technology (BTech) degree in Electrical and Electronics Engineering from the esteemed Vellore Institute of Technology, where he achieved an impressive CGPA of 8.75. His rigorous academic training provided him with a robust foundation in engineering principles, electronics, and electrical systems, and subsequently equipped him with the technical skills necessary for his career in data science and analytics.
Throughout his time at Vellore Institute of Technology, Rishabh not only excelled academically but also actively engaged in a variety of projects that honed his analytical abilities and technical skills. His educational background has played a crucial role in shaping his methodology toward problem-solving and fostering a keen interest in utilizing data to drive decision-making in real-world scenarios.
Achievements
Rishabh Pratap Singh Sisodia has made notable contributions throughout his career, further establishing himself as a prominent figure in the data analytics domain. His paper on the Joint Detection Classification Model for audio tagging presented at ICASIC'20 is a remarkable accomplishment, showcasing his in-depth understanding of complex data relationships and machine learning models. This achievement not only demonstrates his ability to contribute to academic discourse but also signifies his commitment to continuous learning and professional development in an ever-evolving field.
Rishabh's impressive trajectory in multiple respected organizations, including working as an Academic Intern at Hewlett Packard Enterprise and as a Research and Development Intern at LogicFruit Technologies, attests to his adaptability and willingness to learn across various sectors. Furthermore, his role as an Internet of Things Intern at Varroc equipped him with firsthand experience in applying data analytics within innovative technologies, further enriching his skill set.
With an extensive portfolio that showcases his technological prowess and analytical acumen, Rishabh is poised to continue making impactful contributions in the field of data science and analytics. His commitment to applying his expertise to generate value for others speaks volumes about his professional ethos and dedication to the industry.