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Rohan Chikorde
Data Scientist at General Mills - Machine Learning - Deep Learning
Professional Background
Rohan Chikorde is a seasoned Data Scientist with approximately six years of rich and diverse experience in the fields of Machine Learning and Deep Learning. Rohan's career trajectory showcases a remarkable blend of expertise from prominent multinational corporations and innovative startups, marking him as a rising star within the data science community. Currently employed at General Mills as a Data Scientist, Rohan brings a wealth of knowledge not only in building predictive and statistical models but also in implementing state-of-the-art solutions that drive business success. His prior experience includes significant contributions at Accenture, as well as at startups like Light Information System and G-Square Solutions, where he honed his skills in translating complex data challenges into actionable insights.
Rohan's expertise spans multiple domains, including E-commerce, Banking, Financial Services and Insurance (BFSI), Social Media, Fast-Moving Consumer Goods (FMCG), and Supply Chain. This diverse background equips him with a unique perspective on the nuances of data application across various industry sectors, enabling him to tailor solutions that best address the needs of clients and stakeholders alike.
Education and Achievements
Rohan is a proud Post Graduate in Data Science, an achievement that symbolizes his commitment to continuous learning and professional growth in an ever-evolving field. His dedication to the domain of Data Science was recognized by Digital Vidya, which acknowledged him as one of the rising stars in the industry. Rohan’s work in this capacity reflects not only his academic prowess but also his practical ability to implement complex theories into real-world applications.
Rohan possesses a strong foundation in both statistical analysis and computational methods. His educational background, paired with hands-on experience, allows him to leverage cutting-edge technology in innovative ways. Rohan has excelled in creating Classification models, Regression models, and Unsupervised models, also delving into the burgeoning field of Natural Language Processing (NLP) with the development of ChatBots. This blend of skills enables him to bring significant value to projects in terms of both creativity and technical execution.
Key Highlights
Beyond technical expertise, Rohan has shown an impressive ability to adapt to client-facing roles, possessing the ambition and natural leadership qualities necessary to guide teams toward success. He is known for his ability to distill complex data science results into clear, visually engaging presentations that resonate with business stakeholders. This skill makes him immensely valuable in bridging the gap between sophisticated data science concepts and the practical needs of businesses.
With a passion for technology and building innovative solutions, Rohan is well-versed in the latest development tools and collaborative coding practices. His project management skills further enhance his ability to deliver results on time and within scope, making him a reliable partner in any analytical venture. Rohan is driven by a profound interest in artificial intelligence, robotics, and automated driving technologies, positioning him at the forefront of future technological advancements.
Data Science Skills
Rohan is highly proficient in a range of machine learning and deep learning algorithms, including Long Short-Term Memory networks (LSTM), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Multi-Layer Perceptrons (MLP). His analytical solutions are adept at transforming business queries into mathematical frameworks that yield substantive insights. The experience he possesses in applying advanced analytics to varied business situations reinforces his reputation as a capable problem-solver who can navigate the complexities of modern data environments.
Skills and Technical Proficiencies
In terms of technical skills, Rohan is well-versed in key programming languages and tools necessary for performing data analysis. He has hands-on experience with R and Python, using libraries such as Pandas, Sklearn, and others to deliver results. Furthermore, Rohan's familiarity with Hadoop and Spark positions him well for big data environments, while his knowledge of SQL makes him adept at managing and querying databases. His analytical acumen extends to various methodologies, including logistic and linear regression, decision trees, K-means clustering, time series analysis, and much more.
Rohan's continued growth and contribution to the data science field signal his commitment to pushing boundaries and innovating solutions that create a significant impact for businesses and society alike.