About

Chiranjeev Bindra is a highly skilled Python Developer with expertise in Natural Language Processing (NLP) and Data Analytics. He holds a Bachelor of Technology degree in Computer Science and Engineering and has gained 3.86 years of relevant experience in the technology industry. Chiranjeev has worked directly with project owners across the business to plan, manage and execute key projects. He has investigated new technologies, tools, and processes and made recommendations for future adoption. He has a good amount of experience in development of backend services, ETL pipelines, Data Analytics using pandas, and REST APIs in Python using Flask. Chiranjeev's notable projects include applying Machine learning on large-scale unstructured financial documents to derive actionable insights, adapting existing BERT model and training it on financial news data to implement sentiment analysis, and extracting information using NLP (Word2vec, vector space models) pipelines to surface most relevant information for company analysis by implementing various research papers. Chiranjeev has used Jira, Bitbucket, Bamboo, and UrbanCode Deploy extensively for CI/CD, while following agile practices throughout. He has also provided L3 support to Support Team to help manage intensive releases at times. Apart from BAU, he has worked on multiple innovation projects going on at Fidelity to expand his knowledge. Chiranjeev has an excellent learning aptitude of new fields, technologies, and concepts. His education history includes a Bachelor of Technology degree in Computer Science from Guru Gobind Singh Indraprastha University and Maharaja Agrasen Institute of Technology. His tech stack includes NLP, Python, ML, BERT, Sentiment Analysis, Bamboo, Word2Vec, CI/CD, Research Scientist, Pandas, ETL, Flask, and Backend. Overall, Chiranjeev is a highly motivated and skilled Python Developer with a deep understanding of NLP and Data Analytics. He is always eager to learn new technologies and is committed to delivering high-quality work.