Ramya Tejaswini
@ramyatejaswini
Machine Learning Engineer at One Global Mobilized Lifestyle (BMIS)
Hyderabad
Ramya Tejaswini is a skilled Machine Learning Engineer with experience in data analysis and predictive modeling. She possesses expertise in Python, R, and SQL, utilizing tools like Power BI for advanced visualization. Her background includes developing customer segmentation algorithms and churn prediction models using deep learning techniques.
Experience
Machine Learning Engineer
One Global Mobilized Lifestyle (BMIS)
Data analysis in python and made reports in Power BI. Programmed, developed and optimized databases daily using python and SQL. Developed Customer Segmentation algorithm using K-Means and RFM. Developed custom Microsoft Power BI dashboards, visualizations with meaningful insights. Created churn prediction model using ANN, deep learning. Conducted complex business problem analysis to reduce operational and financial risk.
Machine Learning Engineer
Artificial Penetration Software Solutions
Processing and analyzing internal data. Predicted product sales using Logistic Regression.
Programmer Trainee
Cognizant Technology Solutions
Worked for Johnson and Johnson project and maintained JNJ Health database using CODS by SQL.
Education
Yogi Vemana University
Master of Science in Mathematics
Mathematics
Sri Venkateswara Degree College
Bachelor of Science in Mathematics, Statistics, Computer Science
Mathematics/Statistics/Computer Science
Sri Chaitanya Children's academy
Standard XII
Intermediate Education
Pavan English Medium School
Standard X
Secondary Education
Licenses & Certifications
Machine learning by Stanford Online and Coursera
Coursera
Neural Networks and Deep Learning
Coursera
Data Visualization with Tableau
Coursera
Essential Design Principles for Tableau
Coursera
The Data Science Course 2020: The Complete Data Science Bootcamp
Udemy
Introduction to data science
cognitive class
Complete data science course
Social Prachar Institute