AMRUTH VENKATRAMANA BHAT
Bengaluru
Summary
MSc Data Science & AI graduate with 2+ years of enterprise IT experience at Capgemini. Skilled in Python, data preprocessing, machine learning and model evaluation, with additional experience in Java, ServiceNow and enterprise application development. Seeking opportunities in Data Analytics, Data Science and Business Intelligence.
Overview
1
1
Certification
2
2
years of professional experience
Work History
Senior Analyst
Capgemini
Bengaluru
10.2022 - 02.2025
Analyzed ServiceNow performance analytics and reporting to examine ITSM incident, change, and ticket data, isolate root causes, and address recurring defects.
Created ServiceNow reports and dashboards to track SLA compliance, application health metrics, and ticket resolution trends for client-facing teams.
- Examined system logs, REST API payloads, and application data to diagnose operational bottlenecks in enterprise Java/Spring Boot microservices and strengthen system reliability.
- Ran automated functional and regression tests with ServiceNow ATF, Selenium, and TestNG to confirm data accuracy across application workflows.
- Aligned with business stakeholders and Agile engineering teams to define requirements, adjust workflows, and improve operational performance.
- Performed automated functional and regression testing with ServiceNow ATF, Selenium, and TestNG to validate data accuracy across application workflows.
- Collaborated with business stakeholders and Agile engineering teams to capture business requirements, refine workflows, and improve operational performance.
Education
MSc - Data Science & AI
Arden University
Berlin09-2026
Master of Computer Applications (MCA) -
RNS Institute of Technology
Bengaluru01-2020
Bachelor of Computer Applications (BCA) -
National College
Bengaluru01-2017
Skills
- ServiceNow tools: ServiceNow (Reporting, Performance Analytics, ITSM Workflows, System Administration, ATF), Agile/Scrum, Git, Jira
- Performance analytics
- Data Analysis & Querying: SQL (CTEs, Window Functions, Joins, Aggregations), Python (pandas, NumPy), Exploratory Data Analysis (EDA), Data Cleaning, Statistical Analysis
- Data analytics
- Machine learning
- Predictive modeling
- Data Visualization
- Business Intelligence & Excel: Power BI (DAX, Star Schema, Dashboard Design), Advanced Excel (Power Query, Pivot Tables, XLOOKUP, Data Modeling), KPI Reporting
- Databases & Cloud: MySQL, PostgreSQL, AWS (Certified Cloud Practitioner), Google Cloud (Digital Leader)
Certification
AWS Certified Cloud Practitioner, Google Cloud Digital Leader, ServiceNow Certified System Administrator, Agile Training
PROJECTS
Financial Fraud Detection – MSc Thesis, Arden University, Berlin | 2025–2026, Built a fraud detection pipeline using the IEEE-CIS dataset with Python, pandas and scikit-learn., Compared Logistic Regression, Random Forest and XGBoost using precision, recall, F1, ROC-AUC and PR-AUC., Applied class-imbalance techniques and SHAP for model explainability., XGBoost achieved 0.570 PR-AUC and 0.910 ROC-AUC in the experimental evaluation., Technologies: Python, pandas, NumPy, scikit-learn, XGBoost, SHAP, Jupyter
Timeline
Senior Analyst
Capgemini
10.2022 - 02.2025
MSc - Data Science & AI
Arden University
Master of Computer Applications (MCA) -
RNS Institute of Technology
Bachelor of Computer Applications (BCA) -
National College