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Bulli Rama Teja Pothula
Associate Data Scientist @ JPMorgan Chase & Co. | Master's in Business Analytics | I help transform complex data into actionable insights that drive business strategy
About
Bulli Rama Teja Pothula is a Data Scientist and Data Analyst with over 1.5 years of experience in collaborating with cross-functional teams, prioritizing tasks, strategic designing, and executing analytics that inform executive, marketing, product, and operational decisions. He has a Master's degree in Business Analytics and Project Management with a Data Science concentration from the University of Connecticut and a Bachelor's degree in Computer Science (Hons) from Lovely Professional University. Bulli Rama Teja Pothula has expertise in Data Science and Engineering, including Data Mining, Cleansing, Modeling, Statistical Modelling, Ensemble, XGBoost, KNN, Naïve-Bayes, Neural Networks, Clustering, Time Series Forecasting, Data Visualization, ETL Development and Optimization, Business Intelligence, Business Analytics, Data Analytics, Data Strategy, Classification, Segmentation, Natural Language Processing, TensorFlow, Text Analytics, Machine Learning, Deep Learning, Convolutional Neural Networks, Recurrent Neural Networks, and Artificial Intelligence. He is proficient in software such as SQL, Python, Pandas, NumPy, SciKit-Learn, Keras, Matplotlib, Seaborn, Plotly, Tableau, R, C, C++, Java, C#, HTML, CSS, Data Structures, Software Engineering, Database Management, Relational Databases, SAS Enterprise Miner, SAS_JMP, SAS Studio, Jupyter Notebook, Excel, Microsoft Office, Microsoft Project, GitHub, Gitlab, Azure, and JIRA. Currently working as a Data Science Consultant - Capstone Project at Cigna, Bulli Rama Teja Pothula has designed ensemble models to train the model based on their formula to classify the change between Low, Medium, and High risks, achieving an accuracy of 89% for the model. He has also predicted the top 3 Technology teams engaged in managing the support tickets using NLP with Recurrent Neural Networks, resulting in increasing the routing accuracy by 18%. In his previous role as an Associate Software Engineer at Legato Health Technologies, he predicted and optimized call routing by implementing deep learning models on call center telemetric data and reduced average request handling time by 2 seconds. Bulli Rama Teja Pothula is a certified Data Scientist with certifications in Data manipulation with pandas, Introduction to python, Intermediate python, and Introduction to SQL from Data Camp. He has also completed his Intermediate degree in Mathematics, Physics,
Education Overview
• university of connecticut
• lovely professional university
• tirumala junior college
• kkr gowtham school
Companies Overview
• cigna
• legato health technologies
• keka hr
• mycotra
Experience Overview
1.7 Years
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Experience
Data Science Consultant - Capstone Project
cigna | Hartford, Connecticut, United States
2022 - Present
Skills
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analytics
Azure
Business Analytics
business intelligence
Business Intelligence (BI)
C#
C++
Cascading Style Sheets (CSS)
Convolutional Neural Networks (CNN)
Data Analytics
Data Science
Data Scientist
Data Structures
Data Visualization
Deep Learning
Excel
Extract, Transform, Load (ETL)
forecasting
GitHub
Gitlab
html
Jira
Jupyter
Keras
Machine Learning (ML)
marketing
Matplotlib
Microsoft Azure
Microsoft Office
Natural Language Processing (NLP)
Neural Networks
NumPy
optimization
Pandas
Pandas (Software)
Prioritization
Python
R
Recurrent Neural Networks (RNN)
Relational Databases
Research Scientist
Routing
sas
Scikit
Scikit-Learn
Seaborn
Software Engineer
Software Engineering
SQL
strategy
Tableau
Tensorflow
XGBoost
Contact Details
Email (Verified)
bulXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
university of connecticut
Master's degree
2021 - 2022
lovely professional university
Bachelor's degree
2016 - 2020
tirumala junior college
Intermediate
2014 - 2016
kkr gowtham school
SSC
2012 - 2014
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