Dynamic and result-oriented Data Scientist with a strong academic foundation in Data Science and Computer Science from Northeastern University and Jawaharlal Nehru Technological University. I bring to the table a robust set of skills that include Python, R, SQL, Bash, C, and C++ programming, as well as proficiency in various databases like MySQL, MapReduce, MS SQL Server, Snowflake, PostgreSQL, and MongoDB.During my internships at ZettaMine Labs and Vzen Technologies in India, I developed and optimized robust data pipelines, and implemented machine learning algorithms to analyze large-scale data and predict key business outcomes. My work contributed to significant business automation, enhanced anomaly detection, and predictive accuracy.My project work includes forecasting energy consumption and creating a student intervention system using machine learning, where I managed to improve energy optimization and prediction accuracy significantly. My hands-on experience with advanced libraries, machine learning models, and various operating systems fortifies my theoretical knowledge, making me capable of developing and deploying advanced data science solutions.I am a determined professional, eager to use my technical prowess to help organizations convert their data into actionable insights. I'm always open to discussing data science, technology, or potential collaborations. Feel free to connect with me!Reach out to me at narramneni.r@northeastern.edu or connect with me on LinkedIn. Let's discuss how I can contribute to your organization's data-driven journey.
-
Senior Ai Reliability EngineerT-MobileFrisco, Tx, Us -
StudentNortheastern University Sep 2021 - Dec 2023Boston, Massachusetts, United States -
Data ScientistZettamine Labs Pvt. Ltd. May 2020 - Aug 2021Hyderabad, Telangana, IndiaDeveloped robust data pipelines using AWS and Apache Airflow, handling large-scale data (1 million records perday), which contributed to business automation initiatives.• Leveraged SQL for data extraction and Python for developing machine learning pipelines, optimizing models toachieve a 90 percent plus precision rate.• Used Snowflake to manage multi-dimensional databases, enhancing anomaly detection by 80 percent through theextraction and real-time analysis of structured and unstructured data sources.• Collaborated closely with cross-functional teams and key partners such as business unit technology and DataArchitecture teams to implement data science solutions. -
Data Scientist, InternVzen Technologies Jan 2019 - Dec 2019Hyderabad, Telangana, IndiaConducted comprehensive data pre-processing tasks (cleaning, mapping, scaling, etc.), and exploratory dataanalysis (EDA) using SQL and Python.• Utilized the K-Means algorithm to analyze customer distribution across different geographical locations, providingvaluable insights.• Developed a random forest algorithm in Python for predicting customer retention, achieving 81 percent recall and92 percent precision through model optimization and feature engineering.• Identified new opportunities for the application of analytical techniques to solve business problems andcollaborated closely with a diverse set of stakeholders to deliver tailored solutions.
Rahul Narramneni Education Details
-
Data Science -
Geethanjali College Of Engineering And TechnologyComputer Science
Frequently Asked Questions about Rahul Narramneni
What company does Rahul Narramneni work for?
Rahul Narramneni works for T-Mobile
What is Rahul Narramneni's role at the current company?
Rahul Narramneni's current role is Senior AI Reliability Engineer.
What schools did Rahul Narramneni attend?
Rahul Narramneni attended Northeastern University, Geethanjali College Of Engineering And Technology.
Who are Rahul Narramneni's colleagues?
Rahul Narramneni's colleagues are Sarah Martin, Levent Sarigeyik, Canan Söyük, Julio Suarez, Alex Pritzker, Ann Loftness, India Hill.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial