Data Expert

JAGRUTH REDDY

Artificial Intelligence Student

Saint Louis, MO

/in/jagruthreddy

github.com/jagruthreddy

************.*****@***.***

SUMMARY

Motivated graduate student in Data Analytics with 2+ years of experience in AI and data engineering, eager to contribute to Delta Air Lines’ data-driven initiatives. Co-author of an ML research paper focused on healthcare applications, with exper- tise in statistical analysis, hypothesis testing, and experimental design. Proficient in data aggregation, cleaning, multi-source data preparation, and building data pipelines to deliver actionable insights. Skilled in data visualization tools like Power BI and Tableau, with a strong foundation in programming languages and technologies such as Python, SQL, and Java. Experi- enced in leveraging cloud computing, big data, and AI to solve complex problems and drive innovation. Adept at working collaboratively in dynamic teams and committed to aligning technical expertise with Delta’s mission to enhance operational excellence, customer experience, and business intelligence through advanced analytics and cutting-edge technology. EDUCATION

8/2023 - 5/2025 M.S. in Artificial Intelligence Saint Louis University Relevant Courses: Machine Learning, Principles of Software Development, Databases, Predictive Model- ing, Deep Learning, Data Structures, Algorithms, Advanced Techniques in Artificial Intelligence, Machine Learning for Soccer

12/2019 - 6/2023 B.Tech in Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Relevant Courses: Algebra, Calculus, Control Systems, Signals and Systems, Digital and Analog Electron- ics, Networks, VLSI, Image Proccessing, IOT, ProblemSolvngandAlgorithmicThinking,Machine Learning, Deep Learning

EXPERIENCE

10/2024 - Present Graduate Researcher Saint Louis University

• Conducting research on reconfigurable imaging systems using drone clusters under the guidance of Dr. Hadi Akbarpour, to capture larger areas without compromising resolution or image detail, improving im- age quality by up to 30%.

• Addressing challenges like image warping and feature misalignment to ensure seamless stitching of larger images, enhancing alignment precision by 25%.

• Developing autonomous UAV positioning systems to reduce recalibration needs and improve operational efficiency by 40%.

Python / Deep Learning / Unity

2/2024 - 4/2024 Project Coordinator Saint Louis University

• Directed multiple teams of 50 students in a 7-week Agile project to create three interactive websites on insurance, recreation, and online health aid, enhancing resource access for students.

• Directed visual content using Tableau and Adobe Creative Suite, achieving a 30% increase in student engagement and comprehension of health information.

• Facilitated stand-up meetings and utilized Trello to streamline workflows, reducing project delivery time by 25% and culminating in a high-quality presentation at the project fair. Leadership / Trello / Adobe Creative Suite

1/2024 - 2/2024 Data Analyst Associate Intern Excelerate

• Created a Tableau dashboard for Excelerate, enhancing real-time tracking of student engagement and performance by 40% through advanced data analysis.

• Optimized data visualization processes, reducing interpretation time by 30% and improving decision- making efficiency by 20%.

• Automated reporting with Google Apps Script, reducing manual workload by 25% and streamlining data workflows.

Reporting / Advanced Excel / Tableau

1/2023 - 5/2023 Software Engineer Intern Tech BreakThrough

• Drove the "Knowella" project, optimizing AI-powered video analytics to detect risk situations in industrial settings, improving code efficiency by 20% through targeted enhancements and bug resolution.

• Designed and implemented the Patient Engagement Platform, boosting patient engagement by 30% through API integrations and enhanced functionality of the project.

• Developed machine learning (ML) pipelines and a web scraper for "1mg.com" Healthcare Data Platform, improving data processing accuracy and reducing time by 30%, while adhering to Agile principles and MVC architecture.

Tableau / Flask / BeautifulSoup

10/2022 - 11/2022 Artificial Intelligence Intern Personifwy

• Contributed to building and deploying a Natural Language Processing-based text classification model for HR tech solutions, improving document processing accuracy by 25% and reducing manual review time by 40%.

• Assisted in developing a predictive analytics model for employee attrition, enhancing forecasting accu- racy by 30%, supporting informed strategic decisions for HR teams.

• Collaborated with cross-functional teams to integrate AI solutions into cloud infrastructure, aligning with Personifwy’s AI-First, Cloud-First strategy.

Cloud / Natural Language Processing

1/2022 - 12/2022

scholarship holder

Undergraduate Researcher Amrita Vishwa Vidyapeetham

• Full-fledged real-time machine learning model for predicting Retinopathy of Prematurity (ROP) with 94% accuracy, cutting diagnostic time by 30% and aiding faster decision-making.

• Oversaw the entire data management process for over 50,000 structured and unstructured patient records, including retinal images, to enhance model performance through advanced data techniques including feature engineering.

• Applied advanced machine learning algorithms, including Gradient Boosting Classifier, XGBoost, and Ex- tra Trees Classifier, contributing to research findings with a 15% increase in predictive accuracy. Jupyter Notebook / Matplotlib / Pandas / Scikit-learn SKILLS

Languages &

Technology

Python, R, Java, JavaScript, HTML, C/C++, BigQuery, MySQL, PostgreSQL, MongoDB, PowerBI, PyTorch, TensorFlow, OpenCV, AWS, GCP, Postman, GitHub, JIRA, Spark, Hadoop, Docker, Kubernetes, Azure Data Warehouse, Azure Data Lake, Snowflake, CRM tools. PROJECTS

Research Predictive Analysis from Patient Health Records Using Machine Learning ieee.org link Led a team to achieve 90.24% accuracy in predicting heart conditions using advanced techniques, with results published in IEEE.

Research X-Ray Screw Hunter Demo colab link

Designed a zero-shot detection and segmentation model with Grounding Dino and Segment Anything, achieving 85% accuracy and reducing radiologists’ review time by 30%. Deep Learning Enhanced Feature Tracking for Event-Based Vision Systems github.com link Improved feature tracking accuracy by 15% by integrating event cameras with image reconstruction, op- timizing performance in high speed and low-light environments. AI Code Reviewer CodeSageAI github.com link

It reviewed over 50 pull requests, providing feedback that ensured code quality and reduced post- deployment bugs by 40%. My thorough analysis maintained high standards in our codebase. PyQt5 Application VisionAI github.com link

Created an AI sorting system that cut manual effort and sped up turnaround by 25% for photographers, implementing features like automated image summarization and smart folder sorting to enhance work- flow.

DBMS Application FarmMarket Inventory System github.com link Developed a Comprehensive Inventory Management System for a local farmer’s market to track invento- ries, monitor sales, and analyze seasonal trends for optimized stock management. ETL Frameworks GoodReads Data Pipeline github.com link Designed and implemented a GoodReads data pipeline with Spark, Airflow, S3, and Redshift, automating ETL and real-time updates every 10 minutes.

CERTIFICATIONS

2023 Statistics for Data Analysis Data Analyst Duo View Certificate

2021 The Data Scientist’s Toolbox Coursera

View Certificate

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