HEMA Sindhuja PAGADALA
Corpus Christi
Summary
Data Science Intern with hands-on expertise in Python, Pandas, and JupyterLab, skilled in predictive modeling and dashboard development. Experienced in applying analytical techniques to optimize processes in healthcare and retail environments. Eager to leverage data science fundamentals and network analysis skills to inform protocol decisions and drive innovation in decentralized systems. Meticulous professional brings expertise in testing, validating, and reformulating models. Employs statistical software to manipulate data and forecast outcomes. Proven history of designing and implementing data collection innovations. Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Machine Learning Intern
Cyber Info Tech
Baltimore
01.2025 - 08.2025
- Developed machine learning models and algorithms for predictive analytics.
- Constructed supervised and unsupervised learning models using Python libraries like Scikit-Learn, TensorFlow, and Keras.
- Participated in team meetings to discuss project progress and challenges encountered.
- Conducted data pre-processing operations such as feature engineering, normalization, and imputation.
DevOps Engineer
Great Hire
Hyderabad
01.2024 - 12.2024
- Monitored system performance and resolved issues proactively.
- Implemented CI/CD pipelines to enhance software delivery speed.
- Assisted in troubleshooting application and network problems effectively.
- Participated in security audits to identify vulnerabilities and risks.
- Created CI and CD pipelines with Jenkins and Docker to automate the build process of applications.
- Configured, managed, and monitored cloud-based services such as AWS EC2, S3, EBS, ELB, RDS using Terraform and Ansible.
- Worked closely with DevOps teams in order to design best practices for deploying applications into production environment.
Informatics and Mainframes Intern
Carelon Global Solution
07.2023 - 12.2023
- Analyzed complex healthcare datasets using Python (Pandas, NumPy) to uncover trends and provide actionable insights, aligning with core data science fundamentals.
- Optimized SQL queries and utilized JupyterLab for data exploration, enhancing database performance and automating reporting processes.
Web Development Intern
DR.Computer.in IT and Ecom Services
06.2022 - 12.2022
- Developed interactive web applications integrating backend analytics with data visualization techniques, mirroring dashboard creation practices akin to Grafana and Superset.
- Designed a Balancing Diet App with user-centric UI/UX principles and implemented data-driven approaches to track and analyze user behavior.
Data Science Intern
The Spark Foundation
08.2021 - 09.2021
- Built predictive models for superstore sales forecasting using Python and SQL.
- Created Tableau dashboards for business insight visualization.
Data Analyst Intern
Suven Consultants & Technology Pvt. Ltd
- Conducted market basket analysis and used ML algorithms to improve customer retention.
- Automated data workflows, reducing manual processing by 40%.
Education
Master of Science - Computer Science
Texas A&M University-Corpus Christi
12-2025
BTech - Computer Science
Koneru Lakshmaiah University
05.2023
Skills
- Throughout my project experience, I have applied a robust data science and analytics toolkit — leveraging Python, R, Pandas, NumPy, Matplotlib, and Jupyter for data cleaning, wrangling, and exploratory analysis, and integrating Power BI, Tableau, and Excel for dynamic dashboard creation and statistical reporting My database expertise spans SQL, MySQL, PostgreSQL, and Amazon Redshift, enabling optimized query performance and efficient data acquisition I have implemented machine learning models for regression, classification, clustering, and predictive analytics, utilizing algorithms such as SVM, K-Nearest Neighbors, Decision Trees, Random Forests, and Deep Learning (Keras, TensorFlow) to support scientific research and business decision-making Skilled in data mining, probabilistic and optimization techniques, I’ve applied both supervised and semi-supervised learning for real-world problem solving My cloud and DevOps exposure includes AWS, Azure, Docker, and continuous integration pipelines for scalable ML deployments Additionally, I’ve automated workflows using Blue Prism RPA, developed interactive web dashboards with HTML, CSS, and JavaScript, and contributed to data-driven decision systems requiring strong project management, communication, and team collaboration This combination of analytical, programming, and visualization expertise allows me to deliver end-to-end, insight-driven AI and data solutions
Certification
- Microsoft Azure Administrator Associate, 12/25
- Microsoft Azure Developer Associate, 12/25
- Oracle Certified Architect Professional, 12/25
- Aviatrix Certified Engineer, 12/25
- Blue Prism RPA Associate Developer, 12/25
- Programming Essentials in Python (Cisco), 12/25
Projects
Breast Cancer Prediction Model, Used KNN and SVM to predict diagnoses from patient datasets with high accuracy.
Human Activity Recognition with IoT Sensors,
Developed real-time predictive model and presented at IEEE conference.
E-Commerce Data Analysis,
Performed clustering for customer segmentation and built a real-time dashboard.
Timeline
Machine Learning Intern
Cyber Info Tech
01.2025 - 08.2025
DevOps Engineer
Great Hire
01.2024 - 12.2024
Informatics and Mainframes Intern
Carelon Global Solution
07.2023 - 12.2023
Web Development Intern
DR.Computer.in IT and Ecom Services
06.2022 - 12.2022
Data Science Intern
The Spark Foundation
08.2021 - 09.2021
Data Analyst Intern
Suven Consultants & Technology Pvt. Ltd
Master of Science - Computer Science
Texas A&M University-Corpus Christi
BTech - Computer Science
Koneru Lakshmaiah University