Bhavagna Chowdary

AI Researcher

United States10 yrs 6 mos experience

Highly Stable

Key Highlights

10+ years of experience in Data Science and AI.
Expert in Machine Learning and Deep Learning solutions.
Proven track record in developing enterprise-grade applications.

Stackforce AI infers this person is a Data Science and AI expert in the Fintech industry.

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Skills

Core Skills

Machine LearningDeep LearningNlpData AnalysisData Engineering

Other Skills

AWSAWS LambdaAWS SageMakerAlteryxAmazon EC2Amazon Elastic MapReduce (EMR)Amazon RedshiftAmazon Relational Database Service (RDS)Amazon S3ClusteringHadoopKerasLLMLogistic RegressionML models

About

I am a Senior Data Scientist & AI Engineer with 10+ years of experience delivering enterprise-grade Machine Learning, Deep Learning, NLP, and Generative AI solutions across Banking, Finance, and Technology domains. My expertise spans end-to-end data science lifecycle—data engineering, feature engineering, model development, validation, deployment, and scalable cloud integration. I have hands-on experience building LLM/RAG systems, predictive models, deep learning architectures (CNN, RNN, LSTM), and Generative AI workflows for large-scale enterprise applications. I specialize in developing high-performance ML systems using Python, TensorFlow, PyTorch, Scikit-learn, and AWS services including SageMaker, Lambda, EC2, EMR, S3, Redshift, DynamoDB, and Athena. Skilled in Snowflake, SQL, data modeling (Star/Snowflake), and BI tools such as Power BI and Tableau. I’m passionate about applying advanced analytics, statistical modeling, and AI-driven automation to solve complex business problems, optimize processes, and unlock data-driven decision-making. With strong communication skills and a collaborative mindset, I consistently contribute to improving product strategy, model accuracy, and analytical insights in fast-paced, cross-functional environments.

Experience

Bank of america

Sr.Data Scientist / AI Engineer

Oct 2023 – Present · 2 yrs 5 mos · Charlotte, North Carolina, United States

Built and fine-tuned LLMs and RAG pipelines to improve chatbot accuracy and user engagement.
Designed multi-stage data pipelines and AWS lakehouse architecture for scalable GenAI workflows.
Developed fraud detection models (SVM, Logistic Regression, Random Forest).
Implemented feature engineering, preprocessing, vector stores, and dimensional models.
Developed CNN/RNN models for anomaly detection, routing optimization, and storm forecasting.
Built Power BI dashboards for performance metrics and executive reporting.
Designed ETL pipelines, OLTP/OLAP models, and data marts using AWS + Snowflake.

LLMRAGAWSPower BIPythonSnowflake+2

Raymond james financial

Data Scientist

Apr 2020 – Sep 2023 · 3 yrs 5 mos · Sarasota, Florida, United States

Developed ML models (Regression, XGBoost, SVM, K-Means, Neural Networks).
Built text analytics, forecasting, NLP pipelines, and Power BI dashboards.
Processed large datasets using Python, SQL, Pandas, and PySpark.
Designed Snowflake schema warehouse models for enterprise analytics.
Performed feature engineering, validation, imputation, and hyperparameter tuning.
Built ensemble pipelines for risk scoring, default prediction, and trend analysis.

ML modelsNLPPower BIPythonSQLPandas+2

Saxton mortgage

Data Analyst

Jun 2018 – Mar 2020 · 1 yr 9 mos · Fort Worth, Texas, United States

Performed data cleaning, validation, and SQL-based extraction for analytics.
Built ML models using Python (XGBoost, Regression, Clustering).
Designed Snowflake warehouse models and automated ETL pipelines via AWS S3/RDS.
Created Power BI dashboards for SEO, marketing KPIs, and performance insights.
Implemented statistical analysis, NLP, and text classification workflows.
Built an end-to-end e-learning platform using Python APIs and Snowflake pipelines

PythonSQLXGBoostRegressionClusteringPower BI+1

Semantic space

Data Analyst

May 2014 – Apr 2017 · 2 yrs 11 mos · Hyderabad, Telangana, India

Performed data migration, profiling, and predictive modeling for customer analytics.
Built ETL pipelines using Python, Alteryx, and Snowflake.
Created dashboards and KPI reports using Tableau and Excel.
Developed multivariate validation scripts improving pipeline efficiency by 17%.
Built UI/UX e-learning modules using JavaScript, jQuery, HTML, and Node.js.
Designed OLTP/OLAP data models and optimized SQL queries.

PythonAlteryxTableauSQLData Analysis