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Hello! I’m a Senior Data Scientist and AI-ML Engineer with 5 years of hands-on experience designing, building, and deploying scalable AI solutions in production. I specialize in leveraging NLP, ML, and Generative AI to turn complex data into strategic business insights and measurable impact. I enjoy collaborating with cross-functional teams to translate business goals into robust data products, from data ingestion and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, explainability, and continuous learning in fast-paced environments.…Hello! I’m a Senior Data Scientist and AI-ML Engineer with 5 years of hands-on experience designing, building, and deploying scalable AI solutions in production. I specialize in leveraging NLP, ML, and Generative AI to turn complex data into strategic business insights and measurable impact. I enjoy collaborating with cross-functional teams to translate business goals into robust data products, from data ingestion and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, explainability, and continuous learning in fast-paced environments.

Abhignya Manda

AI Developer, AI Engineer, Data Scientist, +4

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Hello! I’m a Senior Data Scientist and AI-ML Engineer with 5 years of hands-on experience designing, building, and deploying scalable AI solutions in production. I specialize in leveraging NLP, ML, and Generative AI to turn complex data into strategic business insights and measurable impact. I enjoy collaborating with cross-functional teams to translate business goals into robust data products, from data ingestion and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, explainability, and continuous learning in fast-paced environments.…Hello! I’m a Senior Data Scientist and AI-ML Engineer with 5 years of hands-on experience designing, building, and deploying scalable AI solutions in production. I specialize in leveraging NLP, ML, and Generative AI to turn complex data into strategic business insights and measurable impact. I enjoy collaborating with cross-functional teams to translate business goals into robust data products, from data ingestion and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, explainability, and continuous learning in fast-paced environments.

Available to hire

Hello! I’m a Senior Data Scientist and AI-ML Engineer with 5 years of hands-on experience designing, building, and deploying scalable AI solutions in production. I specialize in leveraging NLP, ML, and Generative AI to turn complex data into strategic business insights and measurable impact.

I enjoy collaborating with cross-functional teams to translate business goals into robust data products, from data ingestion and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, explainability, and continuous learning in fast-paced environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Machine Learning/AI at Citi Bank

October 1, 2023 - November 6, 2025

Designed and deployed Retrieval-Augmented Generation (RAG) systems to deliver actionable marketing insights by combining pre-trained language models with structured sales data to generate contextual and strategic recommendations. Built and maintained RAG-powered dashboards integrating structured and unstructured data to provide real-time analytics and KPIs for retail stakeholders. Leveraged LangChain to orchestrate intelligent data workflows, uniting structured sales data, customer reviews, and social sentiment into RAG pipelines for context-aware insights. Applied NLP techniques with LLMs (e.g., BERT, GPT-3/4) to extract sentiment from social media and product reviews, translating insights into marketing and sales strategies. Developed Market Mix Models (MMM) and sales forecasting models (ARIMA/SARIMA) to optimize marketing spend and inventory management. Enhanced marketing performance with ML models (XGBoost, Random Forest) by incorporating seasonal patterns and customer behavior. St

Data Scientist at Optum

May 1, 2023 - May 1, 2023

Designed and implemented machine learning models for fraud detection and credit risk using Random Forests, Gradient Boosting Machines (GBM), and Neural Networks, achieving significant improvements in predictive accuracy. Performed advanced exploratory data analysis (EDA) and visualization to identify patterns in transaction data, enabling data-driven decision-making. Leveraged NLP to analyze customer interactions and feedback, extracting sentiment insights and identifying risk factors affecting creditworthiness. Optimized data workflows using AWS services (S3, Redshift, SageMaker) for scalable storage and model deployment, improving operational efficiency. Developed time series forecasts (ARIMA/SARIMA) to predict credit behavior trends and detect potential fraudulent activities. Designed KRIs and performance dashboards using Tableau and AWS QuickSight for real-time insights. Implemented rigorous model validation and performance assessment (cross-validation, lift charts) and integrated

Data Scientist at Logging-In

October 1, 2022 - October 1, 2022

Conducted in-depth data analysis to uncover behavioral trends and engagement drivers, improving user retention. Developed and optimized MySQL queries, designed relational databases, and automated recurring reporting tasks. Created interactive dashboards in Tableau to monitor KPIs, A/B tests, and key business metrics. Analyzed user activity patterns to identify underperforming segments and provide targeted optimization recommendations. Performed advanced statistical analyses and automated data extraction/transformation processes using Python and SQL. Collaborated with cross-functional teams to translate business requirements into analytical solutions, and optimized database performance with indexing and query optimization. Ensured data quality across sources and supported ad hoc analytics requests.

Senior Machine Learning/AI at Citi Bank

June 1, 2024 - Present

Designed and deployed Retrieval-Augmented Generation (RAG) systems by integrating pre-trained LLMs with structured sales data to generate context-aware marketing insights and strategic recommendations. Built end-to-end RAG pipelines using LangChain, sourcing structured data, customer reviews, and social content to deliver real-time insights. Applied NLP with LLMs for sentiment analysis on customer feedback, transforming unstructured data into actionable business recommendations. Developed and optimized ML models (XGBoost, Random Forest) to enhance marketing performance by incorporating seasonal trends and customer behavior. Created Market Mix Models and time-series forecasts (ARIMA, SARIMA) to support inventory planning and pricing. Built scalable ETL pipelines in Python and Apache Airflow; performed EDA, engineered features, and conducted A/B testing. Designed RAG-enabled dashboards in Tableau/Power BI to provide real-time KPIs for stakeholders.

Data Scientist at Optum

November 1, 2021 - May 1, 2023

Designed and implemented ML models for fraud detection and credit risk using Random Forests, Gradient Boosting (GBM), and Neural Networks; improved predictive accuracy. Developed ARIMA/SARIMA forecasts to anticipate credit behavior trends and proactively identify fraudulent activities. Integrated structured and unstructured data sources, including customer feedback and social media, into predictive pipelines to enhance risk assessment. Engineered high-quality features, performed rigorous validation, and automated ETL workflows with AWS Glue and Lambda. Built scalable ETL pipelines and dashboards in Tableau and AWS QuickSight; mentored junior data scientists and collaborated with cross-functional stakeholders.

Data Scientist at Logging-In

September 1, 2020 - October 1, 2021

Designed and implemented end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment. Built predictive models (Logistic Regression, Random Forest, XGBoost, Gradient Boosting, Neural Networks) to improve engagement and retention. Analyzed user activity data to identify segments, delivering targeted, data-driven recommendations. Developed optimized MySQL queries, designed relational databases with stored procedures, automated data extraction and reporting, and built interactive Tableau dashboards; collaborated with cross-functional teams to translate business requirements into analytical solutions.

Senior Data Scientist / AI-ML Engineer at Citi Bank

June 1, 2024 - Present

Designed and deployed Retrieval-Augmented Generation (RAG) systems by integrating pre-trained LLMs with structured sales data to generate context-aware marketing insights and strategic recommendations. Built RAG pipelines using LangChain to fuse structured data with customer reviews and social content for real-time insights. Applied NLP with LLMs to perform sentiment analysis on customer feedback, transforming unstructured data into actionable business recommendations. Developed and optimized models (XGBoost, Random Forest) to improve marketing performance by incorporating seasonal trends and customer behavior. Executed end-to-end ML workflows with preprocessing, feature engineering, training, tuning, and evaluation (Accuracy, Precision, Recall, F1, ROC-AUC). Implemented bias–variance tradeoffs and regularization to enhance generalization. Built Market Mix Models (MMM) and time-series forecasts (ARIMA, SARIMA). Engineered scalable ETL pipelines in Python and Airflow; streamlined data