Hello!👋🏻
I'm Gouthami Nadupuri

Data Scientist

download resume
Gouthami Nadupuri

Who I Am!

I’m Gouthami Nadupuri, a Data Scientist driven by a passion for transforming data into actionable insights and intelligent solutions. I hold a Master’s in Data Science and bring industry experience as a Data Quality Analyst, where I focused on validating and cleaning large datasets, automating reporting workflows, building dashboards, and ensuring the accuracy of business-critical data to support decision-making.
During my graduate studies, I worked on a variety of real-world projects, including customer churn analysis, time-series forecasting, predictive modeling, and natural language processing. These experiences allowed me to design and implement end-to-end ML solutions from data exploration and feature engineering to model development, evaluation, and visualization using tools such as Python, Scikit-learn, TensorFlow, Tableau, and Power BI.
My interests center on data science and applied AI, with a strong focus on machine learning, natural language processing, and generative AI. I’m passionate about leveraging these technologies to uncover insights, build intelligent solutions, and create real business impact.

Education

University of the Pacific Logo

UNIVERSITY OF THE PACIFIC

Master of Science in Data Science

2023 - 2025

San Francisco, USA

Courses: PYTHON, R, SQL, Data Wrangling, Machine Learning, Statistics, Natural Language Processing, Data Engineering, Data Visualization.

GITAM University Logo

GITAM UNIVERSITY

Bachelor of Technology Computer Science and Engineering

2008 - 2012

Visakhapatnam, India

Courses: C, C++, Java, Data Structures, Web Technologies, Artificial Intelligence, Software Engineering, Operating Systems, Computer Networks.

Experience

  • Vitech Logo

    2020 - 2023

    Data Quality Analyst

    Vitech Systems Pvt limited

    Hyderabad, India

    At Vitech Systems Group, I played a critical role in automating data validation and model testing using Python, SQL, and Postman, enhancing data accuracy and processing efficiency. I developed predictive models for pension and insurance clients, improving compliance monitoring and risk assessment framework. Additionally, I designed ETL workflows for data ingestion, significantly optimizing the data pipeline. My responsibilities included leading data quality monitoring, ensuring data integrity across various datasets while aligning Agile methodologies with regulatory compliance standards.

  • 2018 - 2019

    Senior Analyst

    Wipro technologies limited

    Hyderabad, India

    At Wipro Technologies, I conducted exploratory data analysis (EDA) and developed interactive BI dashboards using Tableau and Power BI to enhance business decision-making. I automated data pipelines using Python and SQL, improving data accuracy and reducing manual effort. My role also involved applying A/B testing and KPI analysis, identifying key trends to optimize financial services operations. Additionally, I collaborated cross-functionally to improve data governance policies while mentoring junior analysts on data analysis best practices.

    Wipro Logo
    2018 - 2019

    Senior Analyst

  • Accenture Logo

    2016 - 2017

    Data Associate

    Accenture Solutions limited

    Hyderabad, India

    At Accenture, I specialized in developing customer segmentation models to enhance targeted marketing strategies, resulting in improved user engagement. I also built real-time fraud detection systems using machine learning techniques to identify suspicious transactions and reinforce payment security. Additionally, I designed and optimized ETL pipelines to efficiently process large-scale transaction data, enabling better business intelligence and reporting. My contributions significantly enhanced fraud prevention measures and streamlined data processing pipelines.

Projects

Mortgage Analysis

Analysis of U.S. Consumer Mortgage Complaints

Data Analysis

Analyzed consumer complaint datasets to identify key trends in loan servicing and foreclosure issues.

Technologies: Python, Pandas, Matplotlib, Seaborn

View Project
E-Commerce Fraud

E-Commerce Fraud Detection

Data Engineering

Developed a real-time fraud detection system leveraging Apache Kafka for data streaming and AWS.

Technologies: Apache Kafka, AWS, Python, Scikit-Learn

View Project
Fake News Detection

Fake News Detection

Natural Language Processing

Built an NLP-based pipeline to classify news articles as "Fake" or "True," leveraging text preprocessing.

Technologies: Python, NLP, Scikit-Learn, BERT

View Project
Heart Disease Prediction

Heart Disease Prediction

Machine Learning

Developed a predictive model for heart disease detection using multiple classification algorithms.

Technologies: Python, Scikit-Learn, Logistic Regression

View Project
Churn Customer Prediction

Churn Customer Prediction

Machine Learning

Built a predictive model using the Telco dataset to identify at-risk customers using logistic regression, random forest, and Lasso. Handled class imbalance with SMOTE and tuned hyperparameters for optimal accuracy. Insights were used to support customer retention strategy.

Technologies: Python, scikit-learn, Pandas, SMOTE, Random Forest, Lasso, Seaborn, Matplotlib

View Project
Time-Series-Forecasting

Time-Series-Forecasting

Data Science

Forecasted sales using ARIMA and Prophet models. Performed trend & seasonality analysis, time series decomposition, and visualized predictions. Evaluated models using RMSE to identify the most accurate forecast.

Technologies: Python, Statsmodels (ARIMA), Forecast Accuracy (RMSE, MAPE), Time Series Decomposition, Python Libraries

View Project

Skills

Python Python
Java Java
JavaScript JavaScript
PostgreSQL PostgreSQL
MySQL MySQL
SQL SQL
Postman Postman
HTML HTML
CSS CSS
FastAPI FastAPI
Docker Docker
AWS AWS
Git Git
Bash Bash
React React
TensorFlow TensorFlow
Matplotlib Matplotlib
Scikit-Learn Scikit-Learn
Power BI Power BI

Let’s Collaborate

Gouthami Nadupuri

Data Scientist

📞 Phone: +1 341-356-3732

📧 Email: gouthaminadupuri25@gmail.com

🌐 Website: gouthaminverse.com