Vishnu Charugundla
Business Intelligence Engineer @ Amazon
About
I am a Data Scientist and Data Engineer who thrives at the intersection of machine learning, big data, and cloud platforms to solve high impact business problems. With a Master’s in Applied Data Science from Syracuse University and experience at Sam’s Club and Modak Analytics, I combine strong technical execution with strategic thinking. My expertise includes predictive modeling, churn analytics, deep learning, and building scalable data pipelines across AWS, Azure, and GCP. At Sam’s Club, I uncovered a significant churn trend connected to credit card cancellations, which informed the design of a targeted retention strategy that improved renewal outcomes. At Modak, I automated more than 150+ clinical trial ETL pipelines, reducing insight delivery time by two weeks and improving system reliability by thirty percent. I am passionate about using AI to create measurable value, whether through interactive dashboards, NLP applications, or real time anomaly detection systems. I welcome connections with those building data driven products or scaling applied AI initiatives.
United States
Syracuse
Information Technology & Services
SQL, Machine Learning, Data Science, Data Engineering, Python (Programming Language), Time Series Forecasting, MLOps, R, R Shiny, Data Wrangling, EDA, Vision-Language Models, Transformer Models, Flask, Git , Big Data, k-means clustering, LSTM autoencoder, Isolation forest, One-Class SVM
Experience

Graduate Teaching Assistant
Syracuse, New York, United States
• Developing and revising assessments, quizzes, and lab materials to align with course objectives. • Grading assignments and assessments, providing constructive feedback to help 83 students succeed in the coursework. • Conducting office hours to address student inquiries, facilitating communication between students and the professor.

Data Scientist Intern
Bentonville, Arkansas, United States
• Performed churn analysis using SQL and PySpark, identifying a strong link between credit card cancellations and member attrition, which guided the rollout of a targeted retention strategy • Created Tableau dashboards to monitor year-over-year membership KPIs, improving visibility for executives and enabling faster decision-making • Developed predictive churn features in Python and SQL that improved the accuracy of renewal forecasts and supported proactive outreach campaigns •Analyzed membership lifecycle data to uncover behavioral patterns that informed data-driven engagement strategies

Data Engineer
Hyderabad, Telangana, India
• Designed and implemented end-to-end data pipelines using StreamSets and Hadoop to process, clean, and transform large-scale datasets from multiple sources into cloud environments including Azure Data Lake, Google Cloud Storage, and AWS S3 with Kafka for messaging • Developed predictive machine learning models for clinical trial datasets, applying feature engineering and statistical methods to enhance prediction accuracy and support research decision-making • Served as a subject matter expert for a global biopharmaceutical client, leading the design and delivery of over one hundred fifty curated data pipelines to improve data integrity, masking, and accessibility for clinical research • Built a Data Vault architecture using Hive and PostgreSQL to streamline access to life sciences datasets and enable faster, more efficient analysis • Managed containerized applications on Google Kubernetes Engine to optimize deployment, scalability, and resource utilization for data processing workloads • Initiated data curation and profiling efforts to improve cloud resource efficiency, resulting in measurable cost savings and improved system performance
Education

Applied Data Science
Syracuse University, Master’s in Applied Data Science (2023-2025) • Coursework: Applied Machine Learning, DBMS, Quantitative Reasoning, Business Analytics, Scripting • Graduate Teaching Assistant for IST 253 (Cloud & Networking) • 1st Place, Orange Hoops Data Science Challenge
Vishnu Charugundla's Contact Information
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