Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Anusha Ayyagari

Gaithersburg

Summary

Professional data scientist with strong background in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and various data processing tools, with focus on delivering actionable insights. Known for collaborative approach, adaptability, and consistently achieving impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.

Overview

10
10
years of professional experience

Work History

Data Scientist

TAYS, Inc
05.2024 - Current
  • Built a proof-of-concept (POC) agent performance prediction model to classify agent-customer interactions as “good” or “bad,” enabling data-driven evaluation of SSA agent performance.
  • Evaluated AWS Lex bot performance by benchmarking responses against GPT-4 outputs to identify gaps in conversational quality.
  • Performed data modeling to define and track KPIs for IVR efficiency, enabling systematic evaluation of bot effectiveness.
  • Identified failure cases in AWS Lex responses by analyzing transcripts where the bot failed to address customer queries.
  • Developed custom algorithms to extract customer and agent information from transcripts for downstream analysis.
  • Created sampling algorithms to evaluate IVR performance and test data representativeness across different call flows.
  • Built robust data pipelines using AWS S3 buckets, Python, and PostgreSQL EDW to automate data ingestion, transformation, and storage for analytics workflows.
  • Spearheaded end-to-end pipeline for data collection, cleaning, transformation, and validation, ensuring high data quality.
  • Utilized TensorFlow, PyTorch, and Hugging Face libraries to build and deploy NLP-based fraud detection models.
  • Designed predictive models for anomaly detection and fraud prevention using advanced Natural Language Processing (NLP) techniques.
  • Processed large volumes of call data using AWS Athena for scalable querying and analytics.
  • Aligned model development and analysis with stakeholder objectives, supporting automation of fraud detection workflows.
  • Applied rule-based methods for accurate entity extraction (e.g., names, PINs, account numbers) from customer-agent transcripts.
  • Consolidated and validated data from multiple sources to ensure integrity and reliability in reporting and modeling.
  • Interviewed and evaluated junior data scientists and analysts to support team scaling and project needs.
  • Partnered with cross-functional teams to ensure analytics and modeling efforts aligned with organizational goals.

Data Analyst

Hartford Financial (Contract)
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.

Data Analyst

Accenture (contract)
12.2017 - 12.2019
  • Developed statistical and machine learning models for customer risk assessment and predictive analytics.
  • Implemented clustering, regression, decision trees, and neural networks using Python and R.
  • Conducted data profiling and transformation in Tableau Prep Builder.
  • Utilized SQL to write complex queries, triggers, and stored procedures.
  • Designed interactive dashboards for business intelligence and reporting.

Data Analyst

Accenture (contract)
01.2015 - 11.2017
  • Built and deployed predictive models using Logistic Regression, Random Forest, and Gradient Boosting.
  • Performed time-series analysis, data mining, and forecasting for financial applications.
  • Created automated reports and visualizations for stakeholders.
  • Developed ETL pipelines to integrate structured and unstructured data.

Education

Master of Science - Data Science

University of Maryland, Baltimore County
Baltimore, MD
12-2022

Bachelor of Science - Electronics And Instrumentation Engineering

Jawaharlal Nehru Technological University
Hyderabad, India
04-2014

Skills

  • Programming: Python, R, SQL
  • Libraries & Frameworks: NumPy, Pandas, Matplotlib, SciPy, ggplot2, PySpark, Scikit-learn, NLTK, TensorFlow, PyTorch, Transformers, OpenAI, Hugging Face, Weka,Django,Streamlit
  • Visualization Tools: Tableau, Power BI, AWS QuickSight, Excel
  • Databases: MySQL, SQL Server, Oracle PL/SQL, Google BigQuery,AWS Athena
  • Big Data Technologies: PyODBC, Spark MLib, 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 ,IVR,AWS Bedrock, Sagemaker
  • Operating Systems: Windows, Linux
  • SAS Tools: SAS/BASE, SAS/SQL,

Timeline

Data Scientist

TAYS, Inc
05.2024 - Current

Data Analyst

Hartford Financial (Contract)
03.2023 - 04.2024

Data Analyst

Accenture (contract)
12.2017 - 12.2019

Data Analyst

Accenture (contract)
01.2015 - 11.2017

Master of Science - Data Science

University of Maryland, Baltimore County

Bachelor of Science - Electronics And Instrumentation Engineering

Jawaharlal Nehru Technological University

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Anusha Ayyagari