Summary
Overview
Work History
Education
Skills
Projects
Certifications And Awards
Timeline
Generic

Naga Chaitanya Voleti

Hyderabad

Summary

Full-stack data and ML engineer with 10.3 years of IT experience, including 5+ years in data analytics, predictive modelling, and AI. Expert in Azure (Databricks, PySpark, Azure ML, Blob, ADLS), GCP cloud setup and migration, and large-scale Alteryx workflows integrated with Power BI, QlikView, and Tableau for spend and insights-driven decision making. Consistently recognized with 5 consecutive Performance Excellence Awards for delivering end-to-end analytical solutions from data extraction to model deployment and strategic client recommendations.

Overview

10
10
years of professional experience

Work History

Sr. Associate system Administration

AT&T Pvt Ltd
01.2025 - Current
  • Built regression models (XGBoost, PCA dimensionality reduction) for Credit Risk Score prediction; achieved RMSE of 67.83 with improved test accuracy; enhanced loan approval decision-making.
  • Developed churn prediction model using Random Forest + SMOTE for imbalanced data handling; delivered F-Score of 0.40, identifying unsatisfied customers for proactive retention.
    Preprocessed text reviews using NLTK; built CNN+LSTM deep learning model achieving 72% accuracy on rating prediction; surfaced customer preference insights.
  • Extracted and processed procurement spend data in Alteryx; created Tableau dashboard uncovering cost optimization opportunities and enabling data-driven procurement decisions.

Lead System Analyst

Solugenix Pvt Ltd
01.2024 - 01.2025
  • Built credit risk, customer churn, and rating prediction models using XGBoost, Random Forest with SMOTE, and CNN–LSTM text models, achieving RMSE 67.83, F‑Score 0.40, and 72% accuracy to improve lending and retention decisions.
  • Engineered end‑to‑end data solutions with NLTK preprocessing, large‑scale data handling, and automated pipelines that converted complex transactional and textual data into actionable insights for business teams.
  • Designed procurement spend dashboards in Alteryx and Tableau that uncovered optimization opportunities and enabled data‑driven decisions to reduce costs across material groups.

Consultant

Virtusa Pvt Ltd
04.2022 - 01.2024
  • Built scalable Bid Analyzer in Alteryx processing 100M+ rows of bidding data; integrated multiple enterprise data sources for customizable scenario modeling and analysis.
  • Tool delivered $20M USD in savings, exceeding client expectations by 200%; enabled strategic decision-making at scale.
  • Developed complex Alteryx engine supporting SAP R/3 → S/4 HANA transition; built spend dashboards visualizing cost optimization opportunities across the organization.
  • Delivered actionable spend insights enabling significant cost optimization and strategic procurement decisions.
  • Applied Autoencoders to detect energy consumption outliers; analyzed factors contributing to abnormal consumption patterns.
  • Provided insights enabling cost reduction and energy optimization across operations.

Technology Analyst

Infosys Ltd
01.2020 - 03.2022
  • Architected customer experience analytics platform integrating multiple data sources; built predictive models (classification, feature engineering) to identify problem packages early and optimize service operations.
  • Deployed Case Prediction Model improving customer satisfaction scores; identified $2.1M USD in operational savings, boosting client confidence in enterprise solutions.
    Technologies: Python, Scikit-learn, Azure ML, data visualization, predictive modeling.

System Administrator

DXC Technologies Pvt Ltd
09.2015 - 01.2020
  • Monitored critical infrastructure and incidents; maintained SLAs/OLAs with <5% incident escalation; awarded 4 Recognition Certificates for operational excellence.

Education

Bachelor of Science -

Acharya Nagarjuna University
03-2015

Skills

Python,PySpark,Azure,AWS,Spark,Kafka,Hive,Data,pipelines,SQL,Scikitlearn,XGBoost,Random Forest,Neural Networks,Pandas,NumPy,Regression,Classification,Tableau,PowerBI,Spark ML,

Projects

End-to-End ML Pipeline on Azure, Designed and deployed production ML pipeline: data ingestion (Azure ADLS) → preprocessing (PySpark) → model training (XGBoost) → REST API (Flask/FastAPI) serving predictions in real-time; sub-100ms latency., Python, PySpark, Scikit-learn, Azure Databricks, Docker, REST API Credit Risk Prediction Web App (Streamlit), Built full-stack ML application with interactive feature engineering, model explainability (SHAP), and live predictions; deployed on cloud; demonstrates end-to-end data science workflow., Python, Streamlit, Scikit-learn, GCP Cloud Run

Certifications And Awards

  • Performance Excellence Award (5 consecutive years) – Recognition for Client Value Creation
  • Reward and Recognition Certificates (4x) – Operational Excellence, DXC Technologies

Timeline

Sr. Associate system Administration

AT&T Pvt Ltd
01.2025 - Current

Lead System Analyst

Solugenix Pvt Ltd
01.2024 - 01.2025

Consultant

Virtusa Pvt Ltd
04.2022 - 01.2024

Technology Analyst

Infosys Ltd
01.2020 - 03.2022

System Administrator

DXC Technologies Pvt Ltd
09.2015 - 01.2020

Bachelor of Science -

Acharya Nagarjuna University
Naga Chaitanya Voleti