Lukish Yadav
About Lukish Yadav
Lukish Yadav is a Data Scientist with a background in Telecommunications and Electronics, holding a Bachelor's degree from Maharashtra Institute of Technology. He has worked at Accenture and currently applies his expertise in Natural Language Processing and machine learning at Ridecell in San Francisco.
Work at Ridecell
Lukish Yadav has been employed at Ridecell as a Data Scientist since 2019. In this role, he focuses on applying data science techniques to enhance the company's operations. His work involves leveraging machine learning and natural language processing to derive insights from data, contributing to the development of innovative solutions in the mobility sector. Ridecell is known for its advancements in mobility management and automation, and Yadav's expertise plays a crucial role in driving these initiatives forward.
Previous Experience at Accenture
Before joining Ridecell, Lukish Yadav worked at Accenture in India. He began his tenure as an Application Development Associate from 2015 to 2016. Following this role, he transitioned to a Data Scientist position at Accenture, where he worked from 2017 to 2019. During his time at Accenture, he gained valuable experience in application development and data science, which laid the foundation for his current role in the tech industry.
Education and Expertise
Lukish Yadav earned his Bachelor's degree in Telecommunications and Electronics from the Maharashtra Academy of Engineering and Educational Research, specifically from the Maharashtra Institute of Technology in Kothrud, Pune, from 2011 to 2015. He also studied at Amrita Junior College. His academic background provides a strong foundation for his expertise in data science, particularly in natural language processing, machine learning, and statistical methods.
Specialization in Data Science
Lukish Yadav specializes in natural language processing tasks, including text classification and topic modeling using Latent Dirichlet Allocation (LDA). He is knowledgeable in deep learning frameworks such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). His expertise extends to a variety of machine learning techniques, including Extreme Gradient Boosting and Collaborative Filtering, which are essential for developing predictive models and data-driven solutions.
Technical Skills and Programming Languages
Lukish Yadav possesses extensive experience in programming languages and frameworks, including Django, Flask, and Express.js. His strong background in statistical methods encompasses techniques such as ANOVA and Hypothesis Testing, which are critical for data analysis and interpretation. This combination of programming skills and statistical knowledge enables him to tackle complex data challenges effectively.