Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
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Vijay Keerthi Sai Magi

Glasgow

Summary

Purpose-driven and logical professional with a master’s degree in Advanced Computer Sciences, bringing strong skills in data analysis, business process optimization, and project management. Adaptable and easygoing individual who is Passionate about using data and technology to make a real difference and enhance user experiences,

Overview

4
4
years of professional experience
1
1
Certification

Work History

Customer Service Consultant

Pastdue Credit Solutions
02.2025 - Current
  • Representing Thames Water, supporting customers with billing queries, payment plans, and account-related concerns in a respectful and solution-focused manner.
  • Used multiple internal systems to manage accounts efficiently, ensuring accurate updates and tailored support in every interaction

Data Analyst Internship

S R Associates
09.2021 - 08.2022
  • Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
  • Produced monthly reports using advanced Excel spreadsheet functions.


Education

Master of Science - Advanced Computer Science

University of Strathclyde
Glasgow, United Kingdom
03-2024

Bachelor of Science - Bachelor in Computer Application

Davanagere University
Davanagere
06-2021

Skills

Programming & Data Technologies: Python, SQL, MongoDB, Java, C, Hadoop, MapReduce

Machine Learning & Statistical Analysis: Scikit-learn, TensorFlow, Keras, Matplotlib, SPSS, Predictive Modeling

Data Visualization & Reporting: PowerBI, Tableau, Advanced Excel

Testing: Knowledge of telecom testing types, tools, and lifecycle; understanding of telecom protocols including SIP, VoIP, LTE

Personal Skills: Documentation, Leadership, Analytical Thinking, Creativity, Problem Solving

Certification

Data Visualisation in Tableau & Power BI: A course by Data Science Guide on Udemy,

CBAP - Certified Business Analysis Professional: A course by Edcorner Learning on Udemy.


Projects

  • Spotify Music Classification and Regression:
    Built ML models using scikit-learn and TensorFlow to classify genres and predict song popularity, achieving 0.35 accuracy with KNN and 10.10 RMSE with Random Forest.
  • Goodreads Ratings Prediction:
    Developed a CNN model with pre-trained GloVe embeddings in TensorFlow/Keras to predict book ratings, reaching 50.8% validation accuracy with consistent performance.
  • Emotion Recognition from Facial Expressions:
    Implemented ensemble deep learning models on the FER 2013 dataset, achieving 63.95% accuracy by combining ResNet, VGG16, and CNN architectures.

Timeline

Customer Service Consultant

Pastdue Credit Solutions
02.2025 - Current

Data Analyst Internship

S R Associates
09.2021 - 08.2022

Master of Science - Advanced Computer Science

University of Strathclyde

Bachelor of Science - Bachelor in Computer Application

Davanagere University
Vijay Keerthi Sai Magi