Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
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Anusha Ayyagari

Gaithersburg

Summary

Dynamic and results-driven Data Scientist with over 7 years of experience in data science, machine learning, deep learning, and data analysis. Proficient in predictive modeling, natural language processing (NLP), deep learning, and statistical analysis, leveraging advanced machine learning frameworks such as TensorFlow, PyTorch, Transformers, and Weka. Adept at designing and deploying AI-driven solutions to solve real-world business problems, including fraud detection, anomaly detection, and automated decision-making systems. Skilled in big data technologies, data visualization, and analytics, utilizing tools like Tableau and Power BI. Strong problem-solving and communication skills with a keen ability to bridge the gap between data and business strategy, driving impactful decisions through data-driven insights and AI-based solutions.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Data Scientist

TAYS, Inc
05.2024 - Current
  • Spearheaded end-to-end data collection, transformation, and analysis, ensuring high data quality and consistency.

    Conducted Exploratory Data Analysis (EDA) to identify key business insights and trends.

    Developed and implemented deep learning models using Transformers and Neural Networks for fraud call identification.

    Leveraged TensorFlow, PyTorch, OpenAI, and Hugging Face to build and deploy state-of-the-art NLP and fraud detection models.

    Designed predictive models for anomaly detection and fraud prevention using advanced Natural Language Processing (NLP) techniques.

    Used AWS services such as Athena to process large-scale call data efficiently.

    Worked closely with stakeholders to align business objectives with data-driven solutions and automated fraud detection workflows.

    Used transformers and pattern matching to extract entities from the text.

    Compiled data from multiple sources, ensuring accuracy, consistency, and reliability.

    Interviewed and assessed junior data scientists and analysts for team expansion.

    Collaborated with cross-functional teams to align data analysis efforts with business objectives.

Data Analyst

Hartford Financial Services Group
03.2023 - 04.2024
  • Built machine learning models (Linear Regression, Logistic Regression, Random Forest) for business applications
  • Performed text mining and Natural Language Processing (NLP) for state-level analysis of reports
  • Designed SQL queries with Common Table Expressions (CTE), window functions, and pivoting
  • Developed interactive dashboards in Tableau, Power BI, and QuickSight for data visualization
  • Utilized Google BigQuery to process and analyze large-scale datasets for business intelligence insights
  • Created executive reports to facilitate strategic decision-making
  • Followed Agile methodology to manage the development and deployment of analytical reports

Education

Master of Data Science -

University of Maryland
Baltimore, MD
01.2022

Bachelor of Engineering - Electronics and Instrumentation

Jawaharlal Nehru Technological University
Hyderabad
01.2014

Skills

Technical Skills

Programming: Python, R, SQL

Libraries & Frameworks: NumPy, Pandas, Matplotlib, SciPy, ggplot2, PySpark, Scikit-learn, NLTK, TensorFlow, PyTorch, Transformers, OpenAI, Hugging Face, Weka

Visualization Tools: Tableau, Power BI, QuickSight, Excel

Databases: MySQL, SQL Server, Oracle PL/SQL, Google BigQuery

Big Data Technologies: PyODBC, Spark MLlib, AWS Athena, AWS Connect

Other Skills: Data Cleaning, Data Wrangling, Predictive Modeling, Statistical Analysis, Business Intelligence, Transformers, Neural Networks, Natural Language Processing (NLP), Fraud Detection, Agile Methodologies

Operating Systems: Windows, Linux

SAS Tools: SAS/BASE, SAS/SQL, Macro Facility

Certification

  • Microsoft Azure Data Scientist Associate (DP-100), In Progress
  • Introduction to Analytics Engineering
  • Advanced SQL for Data Science: Time Series
  • Business Analysis Foundations

Timeline

Data Scientist

TAYS, Inc
05.2024 - Current

Data Analyst

Hartford Financial Services Group
03.2023 - 04.2024

Master of Data Science -

University of Maryland

Bachelor of Engineering - Electronics and Instrumentation

Jawaharlal Nehru Technological University
Anusha Ayyagari