About

Charan Teja Beemanapalli is an accomplished Data Scientist with over 7 years of experience in the field of advanced analytics, machine learning, and natural language processing. Currently working as an Assistant Manager in Data Science BU for Genpact, India, Charan has been part of multiple analytics project deliveries across domains such as Healthcare, E-commerce, BFSI, HR, Social media, Content moderation, and Telecom. Charan has hands-on experience in different machine learning model deployment using different algorithms such as linear regression, logistic regression, decision trees, random forest, clustering, Naive Bayes, SVM, and NLP, NER, and also has hands-on with deep learning, text classification, image classification speech analytics, etc. He has also worked with various tools like R, Python, Machine Learning, Statistics, NLP, Deep Learning, IBM SPSS and Big insights, Power BI, Qlik Sense, IBM cognos reporting, AWS s3, AWS transcribe, AWS comprehend, AWS ML studio, MS Azure ML studio, Watson ML studio, Watson Speech Analytics, and Google cloud ML studio, HADOOP, Spark. Charan has previously worked with Concentrix as an Assistant Manager - Advanced Analytics & Data Science, where he was responsible for project delivery, POC solutioning, pre-sales support, and served domains such as Social Media analytics, Text analytics, BI Analytics, HR analytics, Speech Analytics, Fraud Analytics, Healthcare Analytics. He has also worked with Qdegrees Services as a Business Intelligence Analyst, where he worked on a Telecom project and provided speech analytics solutions to the client with respect to call center parameters and quality metrics. Charan has a Master's degree in Data Science from Aegis School of Business, Data Science & Telecommunication and a Master's degree in Finance from Welingkar Institute of Management. He also holds a Bachelor's degree in Business Administration and Management from Lovely Professional University. Charan has a strong technical background and is proficient in various technologies like ML, AWS, NLP, Python, Deep Learning, Random Forest, Text Classification, Naive Bayes, SVM, Sentiment Analysis, Azure, Spark, Hadoop, Selenium, QA, and MySQL.