Karthik B.G
About Karthik B.G
Karthik B.G is a Data Scientist with extensive experience in the telecom, automobile, and aerospace industries. He specializes in machine learning and data analysis, currently working at Bristlecone in Bengaluru, India.
Work at Bristlecone
Karthik B.G has been employed at Bristlecone as a Data Scientist since 2019. His role involves applying data science techniques to solve complex problems and enhance decision-making processes. Based in the Bengaluru Area, India, he has contributed to various projects that leverage his expertise in machine learning and data analysis.
Previous Experience in Data Science
Before joining Bristlecone, Karthik worked at Tech Mahindra as a Data Scientist from 2016 to 2019. During this period, he focused on data-driven solutions and gained experience in predictive modeling and data mining. Prior to that, he held a position as a Software Engineer at Tech M for eight months in 2015-2016, where he developed foundational skills in software development.
Education and Expertise
Karthik holds a Bachelor of Engineering degree in Mechanical Engineering from BMS Institute Of Technology Management, where he studied from 2011 to 2015. His educational background laid the groundwork for his analytical skills, which he has since applied in various industries, including telecom, automobile, and aerospace. He specializes in machine learning and has expertise in implementing algorithms such as k-NN, Support Vector Machines (SVM), and Random Forests.
Technical Skills and Tools
Karthik is proficient in several Python libraries essential for data analysis and modeling, including Numpy, Pandas, Matplotlib, Scikit-Learn, and Spacy. His technical skills extend to deep learning techniques, such as Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks. He specializes in exploratory data analysis, time series analysis, and technical documentation.
Background in Various Industries
Karthik has a diverse background, having worked in the telecom, automobile, and aerospace industries. This experience has provided him with a broad perspective on data science applications across different sectors, enhancing his ability to adapt and apply his skills to various challenges.