Teja Rao Email & Phone Number
@gainwelltechnologies.com
LinkedIn matched
Who is Teja Rao? Overview
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Teja Rao is listed as GenAI Engineer at AT&T, based in Ashburn, Virginia, United States. AeroLeads shows a work email signal at gainwelltechnologies.com and a matched LinkedIn profile for Teja Rao.
Teja Rao previously worked as Data Scientist - GenAI at Infosys and AI Engineer at Vexdata. Teja Rao holds Masters In Computer Science from University Of Dayton.
Email format at AT&T
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AeroLeads found 1 current-domain work email signal for Teja Rao. Compare company email patterns before reaching out.
About Teja Rao
I am a data engineer / AI Engineer with a passion for machine learning and ETL. I have a bachelor's degree in computer science and engineering, and I am currently pursuing my master's degree in computer science at the University of Dayton, with a focus on AI/ML. I have also completed a post-graduation program in AI/ML from the University of Texas at Austin and obtained multiple certifications in data analytics and data science from EduGrad and Udemy.In my most recent role at Gainwell Technologies, I developed and scaled machine learning models for various projects, such as predicting customer lifetime value and churn rate, using Python, Spark, and Seaborn. I collaborated with data engineers and operation teams to implement ETL processes, write and optimize SQL queries, and create data warehouse designs. I analyzed huge volumes of data and delivered insights and solutions that exceeded expectations and drove success for the organization. I am a lifelong learner and a strong collaborator, always seeking out new challenges and opportunities to expand my skillset and contribute to the industry. I am excited to find full-time opportunities in the field of data science, where I can apply my passion, expertise, and experience to create value and impact.
Listed skills include Asp.Net Mvc, Mysql, Pandas, Neural Networks, and 26 others.
Teja Rao's current company
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Teja Rao work experience
A career timeline built from the work history available for this profile.
Data Scientist - Genai
Current
Genai Engineer
Current
Ai Engineer
Developed and deployed large language models (LLMs) using frameworks like TensorFlow and PyTorch, increasing modelefficiency by 25%.Implemented natural language understanding (NLU) concepts such as intent classification, entity recognition, and dialoguemanagement, enhancing chatbot accuracy by 30%.Utilized Python scripting to automate data processing tasks.
Data Engineer
Migrated Several Marketing API Reports from different Vendors (Google, Bing, Taboola, Outbrain, etc.) from Python 2.7 to 3.7Developed ETL/ELT data pipelines that reduced data processing time by 20%Created several Airflow DAGs to Schedule the ETL pipelines for data ingestion.Introduced several Monte Carlo alerts to identify data quality issues.
Data Analyst Intern
Teja Rao education
Masters In Computer Science
Post Graduation In Al/Ml, Machine Learning / Artificial Intelligence
Be - Bachelor Of Engineering, Computer Science And Engineering
Frequently asked questions about Teja Rao
Quick answers generated from the profile data available on this page.
What company does Teja Rao work for?
Teja Rao works for AT&T.
What is Teja Rao's role at AT&T?
Teja Rao is listed as GenAI Engineer at AT&T.
What is Teja Rao's email address?
AeroLeads has found 1 work email signal at @gainwelltechnologies.com for Teja Rao at AT&T.
Where is Teja Rao based?
Teja Rao is based in Ashburn, Virginia, United States while working with AT&T.
What companies has Teja Rao worked for?
Teja Rao has worked for At&T, Infosys, Vexdata, Gainwell Technologies, and Dxc Technology.
How can I contact Teja Rao?
You can use AeroLeads to view verified contact signals for Teja Rao at AT&T, including work email, phone, and LinkedIn data when available.
What schools did Teja Rao attend?
Teja Rao holds Masters In Computer Science from University Of Dayton.
What skills is Teja Rao known for?
Teja Rao is listed with skills including Asp.Net Mvc, Mysql, Pandas, Neural Networks, C, Linear Regression, Data Analytics, and Decision Trees.
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