Sravani Pati

Sravani Pati Email and Phone Number

AI Engineer and Researcher @ Human-AI Empowerment Lab
Clemson, SC, US
Sravani Pati's Location
Clemson, South Carolina, United States, United States
About Sravani Pati

I am an AI and Data Scientist passionate about leveraging machine learning, data analysis, data engineering, and NLP to solve real-world challenges. My journey began with an internship at Aptech, where I implemented models like SVM, Random Forest, and Logistic Regression on AWS EC2 to predict graduate admission chances, improving accuracy by 35%.During my undergraduate studies, I developed an "Object Detection in Real-Time with Voice Output" project using YOLO and PyTTSX3 to aid visually impaired individuals. This experience underscored how technology can drive impact.Post-graduation, I joined Nice Hi-Tech Centre as a Data Scientist, building fraud detection models on Microsoft Azure. Using PySpark, SQL servers, and CI/CD pipelines, I enhanced efficiency and cut hosting costs by 60%, achieving 81.29% accuracy in fraud detection.To deepen my expertise, I pursued a master's in Computer Science at Clemson University, working on diverse projects across industries like sales, healthcare, and business intelligence. One notable role was with Clemson Engineers for Developing Communities, where I led the development of a Fund Navigator tool, using NLP to optimize grant allocation with 91.67% accuracy. Managing a team of four, I improved project efficiency by 80%.Currently, as an AI Data Scientist at the Human-AI Empowerment Lab, I developed an AI-powered comment triage system, improving feedback classification by 25% and reducing manual triage time by 50%.My hands-on experience with cloud platforms like AWS, Microsoft Azure, and Google Cloud, along with certifications from Google, Microsoft, and IBM, reflects my commitment to staying ahead in this evolving field.Key Highlights:-Diverse Experience: Applied data science in sales, healthcare, and business intelligence.-Cloud Expertise: Built scalable data pipelines using AWS, Microsoft Azure, and Google Cloud.-Real-World Impact: Led fraud detection at Nice Hi-Tech Centre and grant optimization at CEDC.-AI Solutions: Developed a comment triage system, boosting accuracy by 25% and reducing triage time.-Lifelong Learner: Continuously upskilling through certifications to stay at the forefront of AI.Driven by the potential of data science and AI, I am eager to contribute to projects that push the boundaries of what is possible.

Sravani Pati's Current Company Details
Human-AI Empowerment Lab

Human-Ai Empowerment Lab

View
AI Engineer and Researcher
Clemson, SC, US
Website:
haielab.org
Employees:
2
Sravani Pati Work Experience Details
  • Human-Ai Empowerment Lab
    Ai Engineer And Researcher
    Human-Ai Empowerment Lab
    Clemson, Sc, Us
  • Human-Ai Empowerment Laboratory (Haie Lab) Clemson
    Ai Engineer
    Human-Ai Empowerment Laboratory (Haie Lab) Clemson May 2024 - Present
    Clemson, South Carolina, United States
    As an AI engineer at the Human AI Empowerment Lab at Clemson University, I worked on developing an AI-powered comment triage system under the guidance of Professor Carlos Toxtli and alongside my teammate Vamsi. Our work focused on improving feedback management in collaborative platforms like Google Docs and Confluence. I contributed by fine-tuning transformer models, including BERT and RoBERTa, for hierarchical comment classification, enabling the system to handle feedback based on urgency, sentiment, and actionability. I also integrated the large language model GEMMA-2B for zero-shot and few-shot learning, enhancing the system's adaptability with minimal labeled data. Additionally, I helped explore Hierarchical Capsule Networks (HCapsNet) and Hierarchical Attention Networks (HAN) to capture the layered structure of comments better. I applied Latent Dirichlet Allocation (LDA) for topic modeling to improve the system's ability to prioritize feedback. With the support of Professor Toxtli and the collaboration with Vamsi, we successfully submitted a paper to the ACM SIG Conference, showcasing the system's improvements in F1-score, precision, and recall. This work represents a significant advancement in real-time feedback management in high-volume collaborative environments.
  • Clemson Engineers For Developing Communities
    Data Scientist
    Clemson Engineers For Developing Communities Aug 2023 - May 2024
    United States
    During my tenure as a Data Scientist at Clemson Engineers for Developing Communities, I worked on the DSR3P Fund Navigator project. This project involved developing and implementing advanced machine learning models to automate the categorization of federal grants, significantly improving the grant application process for low-capacity communities and successfully classifying over 70 grants for future automation.
  • Clemson Engineers For Developing Communities
    Data Analyst
    Clemson Engineers For Developing Communities Aug 2023 - May 2024
    Clemson, South Carolina, United States
    As a Data Analyst , I led a project combining Python and Power BI to analyze qualitative data from interviews on disaster preparedness and recovery. I conducted text preprocessing, term frequency analysis, and topic modeling in Python, while leveraging Power BI for spatial visualization and interactive analysis. This dual-platform approach provided comprehensive insights into community resilience and disaster management, enhancing policy-making and community engagement efforts.
  • Nice Hi-Tech Centre
    Data Scientist
    Nice Hi-Tech Centre Aug 2021 - Jul 2022
    Bengaluru, Karnataka, India
    During my time at Nice Hi-Tech Centre, a small startup, I developed a predictive model for detecting potential fraudsters in the Enron scandal using advanced data analysis and machine learning techniques. The project aimed to enhance our fraud detection mechanisms to ensure organizational security, with the AdaBoostClassifier achieving the highest performance. This initiative was crucial for developing the organization and establishing robust security practices.
  • Aptech
    Machine Learning Specialist
    Aptech Jul 2019 - Oct 2019
    Bengaluru, Karnataka, India
    During my internship at Aptech, I developed a University Admission Prediction System using machine learning techniques to predict graduate program acceptance probabilities. The project involved data preprocessing, model training with various algorithms, and creating interactive visualizations, ultimately identifying the Multi-layer Perceptron model as the most effective. This initiative enhanced my skills in applying advanced data analysis and machine learning to real-world challenges in education.

Sravani Pati Education Details

Frequently Asked Questions about Sravani Pati

What company does Sravani Pati work for?

Sravani Pati works for Human-Ai Empowerment Lab

What is Sravani Pati's role at the current company?

Sravani Pati's current role is AI Engineer and Researcher.

What schools did Sravani Pati attend?

Sravani Pati attended Clemson University, Visvesvaraya Technological University, Narayana Institute, Brilliant Grammar High School.

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