Available to hire
I am a skilled Data Scientist with 10 years of experience specializing in Generative AI and machine learning applications, with a proven track record in developing advanced solutions for banking and finance. I have deployed state-of-the-art NLP models, optimized fraud detection systems, and implemented efficient data pipelines to deliver impactful AI-driven insights. I enjoy collaborating across teams to enhance operational efficiency and drive business success.
Throughout my career, I’ve engineered production-grade machine learning and AI solutions including Generative AI chatbots, RAG systems, and time-series forecasting models. I continually focus on maintaining best practices in MLOps, ensuring scalability, security, and compliance in cloud environments. Mentoring junior data scientists and standardizing workflows are also strong passions of mine, alongside driving innovations in AI for large financial institutions and tech companies.
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Work Experience
Data Scientist/Gen AI Engineer at Apple
January 1, 2025 - PresentLed development and deployment of LLM-powered chatbots and Generative AI solutions to automate customer inquiries, reducing support ticket volume and boosting resolution speed. Engineered NLP pipelines for tokenization, lemmatization, entity recognition, sentiment analysis, and data labeling to streamline unstructured data processing. Developed and optimized ML and deep learning models including Random Forest, XGBoost, LSTM, and CNN for computer vision and forecasting tasks. Built scalable ETL pipelines with PySpark and Databricks, and managed full ML lifecycle using Azure ML Registry and Azure DevOps CI/CD. Mentored junior data scientists and implemented fraud detection systems with Isolation Forest and SMOTE sampling, enhancing model accuracy and operational efficiency. Utilized cloud services like AWS and Azure, integrating MLOps best practices to automate deployment and monitoring.
Gen AI/ ML Engineer at State Street
December 31, 2024 - August 26, 2025Developed AI-driven credit risk assessment platform using scalable ML models incorporating LLM feature extraction to predict loan defaults and reduce financial risks. Built robust ETL pipelines with Apache Airflow and developed abstractive summarization for financial documents with Llama 2 and LangChain. Employed Generative AI for synthetic data generation to address data privacy and improve model robustness. Developed RESTful APIs with Flask for real-time assessments and established CI/CD pipelines via Jenkins to deploy models on Azure Kubernetes Service. Implemented model monitoring with Prometheus and Grafana to ensure fairness and accuracy, and enforced GDPR-compliant security measures. Collaborated with cybersecurity teams for risk mitigation and conducted A/B testing to refine credit risk models. Integrated interactive ML insights using Streamlit and optimized cloud resources for cost efficiency.
Gen AI Engineer at Capital One
December 31, 2023 - August 26, 2025Developed integrated AI platform leveraging generative AI and NLP for automating banking workflows including document processing, fraud detection, and customer support chatbots. Deployed advanced LLMs such as Llama 2 and GPT-3.5-turbo for document automation and conversational AI, significantly reducing operational costs and improving response times. Engineered Retrieval-Augmented Generation (RAG) systems to enable conversational searches of banking documents. Optimized infrastructure with AWS Lambda, Docker, Kubernetes, and Azure DevOps to automate pipeline deployments and scale AI microservices. Collaborated cross-functionally to refine fraud detection models, process over 10GB daily transaction data via Apache Spark, and implement real-time scoring. Utilized GCP Vertex AI to enhance churn prediction models and developed internal GenAI use cases for audit automation and synthetic data generation.
Data Scientist at OYO Rooms
August 31, 2022 - August 26, 2025Developed data-driven analytical dashboards and KPIs to monitor room occupancy and booking trends, improving forecasting accuracy. Built and maintained SQL pipelines with MySQL and PostgreSQL for real-time analytics. Designed recommendation systems and dynamic pricing models using gradient boosting and Bayesian optimization to increase revenue-per-room. Implemented data quality frameworks and collaborated with marketing, revenue, and operations teams to derive actionable insights. Leveraged Apache Spark and Kafka for near real-time customer data integration and automated data workflows with Airflow, reducing manual reporting by 40%. Developed fraud detection analytics with anomaly detection and graph-based techniques. Mentored junior analysts and used visualization tools for trend analysis and executive reporting.
Data Scientist at HSBC
November 30, 2019 - August 26, 2025Participated in all phases of data mining, cleaning, model development, and validation to deliver analytics solutions. Collaborated with FIU and regulators to gather requirements and developed predictive models including gradient boosting and neural networks for sales forecasting. Optimized ETL and SQL processes for data extraction and quality assurance. Created various data visualizations with Matplotlib, Seaborn, and Tableau to support stakeholder insights. Used feature engineering techniques such as PCA and normalization. Delivered database design solutions and compliance reports for regulatory requirements while applying deep learning frameworks. Maintained model performance evaluation with RMSE/MSE and conducted extensive data cleansing.
Software Engineer/Python Developer at EPAM Systems
July 31, 2016 - August 26, 2025Designed and developed backend server modules using Python and Django, supported frontend development with React and Redux, and managed PostgreSQL databases. Improved ETL process load balancing and performance tuning. Created RESTful microservices with Flask and Django, deployed on AWS using EBS and EC2. Automated testing scripts and contributed to CI/CD pipelines using Circle CI and Docker. Implemented custom form validation, API profiling, and environment management with Ansible and Vagrant. Participated in Jira-based task management to enhance development workflows and reliability.
Python Developer at Global Tele Systems
May 31, 2015 - August 26, 2025Worked on Python applications for risk management, including backend development, secure data handling, and UI creation with HTML, CSS, and JavaScript. Developed database schemas and complex SQL queries in MySQL. Refactored Django modules for optimized data delivery and created scripts for XML parsing and data loading. Implemented client-side validations and comprehensive SQL components like triggers and stored procedures. Conducted unit and regression testing with Python frameworks and Selenium WebDriver, managed code versions using SVN, and provided debugging and tuning to maintain seamless application performance.
Data Scientist/Gen AI Engineer at Apple
January 1, 2025 - PresentLed the development of LLM-powered chatbots automating customer support inquiries, significantly reducing ticket volumes and boosting resolution speeds. Deployed various ML models for classification, regression, and fraud detection, automating manual investigations and enhancing accuracy. Engineered end-to-end NLP pipelines to enable tokenization, lemmatization, entity recognition, sentiment analysis, and automated data labeling. Built scalable ETL workflows and real-time streaming data pipelines to reduce processing times dramatically. Managed ML lifecycle via Azure ML and CI/CD pipelines, improving deployment efficiency and reliability. Mentored junior data scientists and implemented MLOps best practices to ensure robust, GDPR-compliant AI systems that drive enhanced customer insights and operational efficiencies.
Gen AI/ ML Engineer at State Street
December 31, 2024 - August 26, 2025Developed a credit risk assessment platform integrating machine learning and generative AI to improve prediction accuracy and fairness. Created scalable ETL pipelines to ensure high-quality data preprocessing using Apache Airflow. Applied LLMs for abstractive summarization and feature extraction while generating synthetic data to respect privacy and bolster model robustness. Developed and deployed RESTful APIs and managed CI/CD pipelines for real-time credit risk assessments on Azure Kubernetes Service. Implemented robust model monitoring and bias detection using Prometheus and Grafana, ensuring compliance with GDPR and financial regulations. Collaborated with cybersecurity teams to secure AI infrastructure and designed disaster recovery plans for resilience.
Gen AI Engineer at Capital One
December 31, 2023 - August 26, 2025Architected and implemented generative AI solutions automating complex banking workflows, including document processing and chatbot customer interactions, delivering significant time and cost savings. Developed a Retrieval-Augmented Generation system to enable conversational search for banking documents. Fine-tuned GPT models to automate error detection in customer forms and integrated AI microservices using Docker, Kubernetes, and AWS to support scalable serverless applications. Collaborated with data scientists using PySpark to refine fraud detection models and engineered ETL pipelines for large volume transaction data. Developed CI/CD pipelines and employed cloud AI tools to optimize performance and regulatory compliance.
Data Scientist at OYO Rooms
August 31, 2022 - August 26, 2025Developed data-driven analytical dashboards and KPIs to enhance forecasting, occupancy, and customer experience metrics. Built and maintained efficient SQL pipelines for real-time analytics, supporting business decision-making. Created recommendation systems and dynamic pricing models using gradient boosting and Bayesian optimization, increasing revenue and cross-selling rates. Automated data workflows and implemented fraud detection analytics to prevent financial losses. Collaborated cross-functionally on product feature rollouts and mentored junior analysts to improve team productivity and data storytelling capabilities.
Data Scientist at HSBC
November 30, 2019 - August 26, 2025Participated in all data phases including mining, cleaning, model development, and visualization for financial intelligence and regulatory compliance. Developed analytical models using ensemble methods and neural networks. Collaborated with data engineers to implement ETL processes and optimized SQL queries for data extraction. Led feature engineering efforts with PCA and normalization techniques and created dashboards to convey actionable insights. Ensured data quality and compliance through robust cleaning and reporting, while contributing to deep learning projects to enhance predictive capabilities.
Software Engineer/Python Developer at EPAM Systems
July 31, 2016 - August 26, 2025Designed and developed backend services using Python/Django and frontend applications with React and Redux. Worked on ETL process load balancing, database tuning, and server deployments on AWS. Automated daily tasks with Python scripting and managed CI/CD pipelines for continuous product releases. Developed RESTful microservices and implemented validation controls ensuring robust data handling. Delivered performance enhancements via profiling and debugging and collaborated with teams using Jira and modern development workflows.
Python Developer at Global Tele Systems
May 31, 2015 - August 26, 2025Contributed to the development and maintenance of a risk management platform, handling backend logic, secure data processing, and UI interactions. Developed Python/Django modules, authored complex SQL queries, and implemented client-side validations. Built automated test frameworks using Selenium and managed codebase versions with Subversion. Ensured efficient loading of structured data via Python scripts and maintained dynamic web applications following MVC patterns, supporting seamless user experience.
Data Scientist/Gen AI Engineer at Apple
January 1, 2025 - PresentAt Apple, I built an LLM-powered chatbot automating customer inquiries, reducing ticket volumes and improving resolution speed across global support channels. I deployed ML models for classification, regression, and fraud detection to automate investigations and engineered complete NLP pipelines using spaCy and NLTK for various complex tasks including sentiment analysis and data labeling. Leveraging OpenAI and HuggingFace LLMs alongside LangChain, I developed Generative AI solutions that enhanced support automation and compliance. I created scalable ETL workflows, managed ML lifecycle using Azure ML Registry and CI/CD pipelines, optimized model performance using Bayesian hyperparameter optimization, and mentored junior data scientists to improve team productivity and code standards.
Gen AI/ ML Engineer at State Street
December 31, 2024 - August 26, 2025I developed and deployed an AI-driven credit risk assessment platform that predicted loan defaults and minimized financial risks. Key responsibilities included building scalable machine learning models with Python and TensorFlow, developing ETL pipelines with Apache Airflow, and creating abstractive summarization tools using Llama2 and LangChain. I used generative AI to generate synthetic datasets to enhance model robustness. I built RESTful APIs, set up CI/CD pipelines with Jenkins deploying to Azure Kubernetes Service, and implemented monitoring with Prometheus and Grafana. I ensured GDPR compliance, security, and model fairness while working closely with stakeholders and cybersecurity teams.
Gen AI Engineer at Capital One
December 31, 2023 - August 26, 2025I developed an integrated AI platform leveraging generative AI, NLP, and cloud technologies to automate banking workflows, improve document processing, customer service, and compliance. Developed generative AI solutions with Llama 2 and GPT-3.5-turbo for document automation and chatbots, designed RAG systems for conversational search to reduce response times, and implemented abstractive summarization of financial documents. I containerized AI microservices, optimized fraud detection models with PySpark, built ETL pipelines processing over 10GB daily, and developed CI/CD pipelines using Azure DevOps. I also leveraged GCP's Vertex AI for enhanced churn prediction.
Data Scientist at OYO Rooms
August 31, 2022 - August 26, 2025At OYO Rooms, I developed data-driven solutions to optimize occupancy, pricing, and customer experience in the hospitality domain. I built and maintained SQL pipelines for real-time analytics, forecasted seasonal demand using statistical models, and designed recommendation systems increasing cross-selling by 12%. I implemented dynamic pricing models improving revenue-per-room by 9%, collaborated with cross-functional teams, and built ETL processes using Apache Spark and Kafka. I automated reports with Airflow, developed fraud detection analytics, and mentored junior analysts.
Data Scientist at HSBC
November 30, 2019 - August 26, 2025In HSBC, I participated in all phases of data mining and model development for financial analytics. Responsibilities included gathering requirements from Financial Intelligence Unit and regulators, developing advanced analytical models using ensemble methods, collaborating with data engineers for ETL processes, and performing feature engineering. I created visualizations with Matplotlib and Tableau, ensured data quality using Pandas, and used deep learning frameworks to help customers build models. I also generated regulatory reports and conducted data cleaning and imputation.
Software Engineer/Python Developer at EPAM Systems
July 31, 2016 - August 26, 2025Designed and developed server modules with Python and Django backend, alongside React-based front-end applications. Worked on Django ORM for complex queries, load balancing ETL processes, and database performance tuning. Developed Python scripts for testing, implemented validation and CI/CD pipelines, containerized apps with Docker, and managed releases with CircleCI. Worked extensively with AWS services and collaborated on task management using Jira.
Python Developer at Global Tele Systems
May 31, 2015 - August 26, 2025Collaborated on Python applications for risk management platforms, developed responsive web applications ensuring secure data handling. Built front-end interfaces using HTML, CSS, JavaScript, and AJAX. Managed backend data with MySQL and Django ORM, created Python scripts for XML processing, developed client-side validations, and implemented SQL components for data integrity. Developed automation test frameworks with Selenium and maintained code versioning with SVN.
Education
Qualifications
Industry Experience
Financial Services, Software & Internet, Travel & Hospitality, Professional Services, Retail, Telecommunications
Skills
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Expert
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