Tejaswi Pallerla Email & Phone Number | An analytics professional with an overall experience of 8 years in Machine Learning and Data Science Worked in Domains like: Insurance, HealthCare, Retail and Banking Technical Skills Tech Stack: Python, Pyspark, SQL IDE: Spyder, Jupyter Notebook , Visual Studio Code, Azure Databricks Repository: Git, Bitbucket Areas: Machine Learning, Statistical Modelling, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Azure OCR service, Azure Document Intelligence, Topic Modelling NLP Packages: Pandas, Numpy, Seaborn, Matplotlib, sci-kit learn Algorithms: Linear Regression, Logistic Regression, Random Forest, SVM, Decision Trees, GBT Classifiers, K-Means clustering Expertise in Azure Document Intelligence (earlier Form Recognizer Service) for the OCR (optical character recognition) techniques Expertise in Video to Text conversion techniques

Tejaswi Pallerla

An analytics professional with an overall experience of 8 years in Machine Learning and Data Science...
Hyderabad, Hyderabad, India

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Tejaswi Pallerla’s Email tpallerla@metlife.com

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Tejaswi Pallerla’s Location Hyderabad, Hyderabad, India

Tejaswi Pallerla’s Current Industry Metlife

Tejaswi Pallerla’s Prior Industry Tiger Analytics | Cognizant

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Senior Data Scientist

2024-07-01 00:00:00 - Present

Senior Analyst

2019-08-01 00:00:00 - 2021-12-01 00:00:00

Programmer Analyst

2016-06-01 00:00:00 - 2019-08-01 00:00:00

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Tejaswi Pallerla is a An analytics professional with an overall experience of 8 years in Machine Learning and Data Science Worked in Domains like: Insurance, HealthCare, Retail and Banking Technical Skills Tech Stack: Python, Pyspark, SQL IDE: Spyder, Jupyter Notebook , Visual Studio Code, Azure Databricks Repository: Git, Bitbucket Areas: Machine Learning, Statistical Modelling, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Azure OCR service, Azure Document Intelligence, Topic Modelling NLP Packages: Pandas, Numpy, Seaborn, Matplotlib, sci-kit learn Algorithms: Linear Regression, Logistic Regression, Random Forest, SVM, Decision Trees, GBT Classifiers, K-Means clustering Expertise in Azure Document Intelligence (earlier Form Recognizer Service) for the OCR (optical character recognition) techniques Expertise in Video to Text conversion techniques