Available to hire
I’m a seasoned Data Scientist and ML Engineer with a Master’s in Data Science, Machine Learning, and Text Analytics. I bring over seven years of hands-on experience across Banking, Insurance, Technology, and Medical sectors, delivering end-to-end data solutions and GenAI applications.
I excel at building scalable ML pipelines, prompt engineering, and LLM/RAG deployments, always aligning with business goals and governance. I enjoy collaborating with cross-functional teams to translate complex data into impactful decisions and reliable, privacy-conscious analytics.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Data Scientist at Santander UK
September 1, 2022 - PresentDeveloped and deployed AI-driven pipelines automating transaction summarization, categorization, and risk detection to aid financial crime investigations using advanced prompt engineering and large language models. Automated the analysis of debit and credit transactions, integrated with data sources and business workflows, resulting in significant reduction in manual review time and improved detection accuracy. Led the development of a chatbot for call centre assistance using Retrieval Augmented Generation, achieving 90% faster process times and 95% model accuracy. Also developed a dynamic product propensity model enhancing cross-selling strategies with a 75% MAP score and improved performance through model and feature engineering.
Machine Learning Engineer at UoS (Coderus)
August 31, 2022 - July 21, 2025Led development of Appanalysis, a platform providing insights to iOS/Android developers through competitor analytics, security vulnerability detection, and trend predictions using recommendation engines, prediction algorithms, and text mining techniques. Extracted documentation data with Python and Selenium, refined and stored data in MongoDB via rabbitMQ. Built robust machine learning pipelines encompassing data standardization, feature selection, model validation, and deployment. Managed containerization with Docker and AWS ECR deployment. Created interactive dashboards for near real-time app analytics using PowerBI and Google Data Studio.
Data Science Analyst at Accelerant Holdings
February 29, 2020 - July 21, 2025Automated insurance risk assessment by developing machine learning models to classify applicant risk efficiently. Transformed raw data into actionable insights using visualization and statistical analysis. Developed reports and dashboards on PowerBI, prepared data sets through complex SQL, Excel, and Python. Built and optimized classifiers and created ad-hoc reports to support business reviews.
Data Analyst at Infosys (Lloyd’s Register Data Analytics)
October 31, 2018 - July 21, 2025Extracted business requirements, built automated data reconciliation reports, performed data transformation and workflow automation. Handled data cleaning and manipulation using complex SQL for certification data analysis supporting quality assurance for ships and offshore structures.
Fusion Middleware Admin at Infosys (Lloyds Bank)
June 30, 2016 - July 21, 2025Monitored Oracle FMW servers, managed deployments using EM, WLST, and Maven, configured certificates and JDBC pools. Performed load monitoring in Informatica and administered OBIEE users and roles.
Data Scientist at Santander UK
September 1, 2022 - PresentDeveloped and deployed AI-driven pipelines to automate transaction summarization, categorization, and risk detection for financial crime investigations using advanced prompt engineering and large language models (LLMs). Automated analysis of debit and credit transactions, integrating with existing data sources and workflows, which significantly reduced manual review time and improved detection accuracy. Developed a Retrieval Augmented Generation-based chatbot for call center assistance improving KPI metrics significantly with faster process times and high accuracy. Built a dynamic product propensity model for personalized cross-selling recommendations with a 75% MAP score, enhancing bank marketing effectiveness.
Machine Learning Engineer at University of Suffolk (Coderus)
August 1, 2022 - August 4, 2025Developed a flagship product 'Appanalysis' that aids iOS/android developers via competitor analysis, security vulnerability detection, and trend prediction using custom-built recommendation engines and text mining. Extracted documentation data with Python and Selenium, refined and stored in MongoDB through RabbitMQ messaging. Built and deployed scalable data science pipelines including data standardization, feature engineering, model validation, optimization, and containerized deployment on AWS. Delivered interactive dashboards using PowerBI and Google Data Studio for near real-time analytics visualization.
Data Science Analyst at Accelerant Holdings
February 1, 2020 - August 4, 2025Automated insurance risk assessment processes by developing machine learning models to classify applicants into risk classes quickly and accurately. Converted raw data into actionable insights with visualization and statistical analysis. Developed reports and dashboards using cloud-based tools like PowerBI. Leveraged complex SQL, Excel, and Python for data preparation, cleaning, and analysis. Provided ad hoc reports and data support for business review meetings.
Data Analyst at Infosys (Lloyd’s Register Data Analytics)
October 1, 2018 - August 4, 2025Extracted business requirements from stakeholders and built automated data reconciliation reports. Executed data transformation workflows and data cleaning using advanced SQL techniques. Delivered analytics for quality assurance and certification processes across maritime and infrastructure sectors.
Fusion Middleware Administrator at Infosys (Lloyds Bank)
June 1, 2016 - August 4, 2025Monitored Oracle FMW servers, managed deployments using EM, WLST, and Maven, configured security certificates and JDBC pools. Conducted load monitoring within Informatica and administered OBIEE user roles to ensure smooth operations across middleware components.
Data Scientist at Santander UK
September 1, 2022 - PresentLed the development and deployment of an AI-driven pipeline to automate transaction summarization, categorization, and risk detection for financial crime investigations using prompt engineering and large language models. Automated analysis of debit and credit transactions, including high-risk, high-volume, and money mule patterns. Integrated with existing data sources and business workflows for seamless analyst review. Achieved a significant reduction in manual review time and improved detection accuracy via ongoing SME feedback. Ensured robust monitoring, user feedback collection, and compliance with data privacy and operational risk standards.
Machine Learning Engineer at UoS (Coderus)
August 1, 2022 - September 9, 2025Contributed to Appanalysis, a flagship product for iOS/Android developers, by building a recommendation engine and extracting documentation data using Python, Selenium and text parsing, storing results in MongoDB via RabbitMQ. Implemented a full data science pipeline covering standardization, feature selection, model validation, optimization, and deployment. Established a robust ML framework to predict future trends, containerized the application with Docker, deployed images to AWS ECR, and created near real-time dashboards in Power BI and Google Data Studio for analytics.
Data Science Analyst at Accelerant Holdings
February 1, 2020 - September 9, 2025Automated insurance risk assessment by developing a machine learning model to quickly and accurately bin applicants into risk classes. Translated raw data into actionable content through visualization and statistics. Built dashboards using Power BI, prepared data sets with complex SQL, and performed data cleaning and mapping. Developed and optimized classifiers and produced ad-hoc reports for monthly and weekly business reviews.
Data Analyst at Infosys (Lloyd’s Register Data Analytics)
October 1, 2018 - September 9, 2025Extracted business requirements, built automated data reconciliation reports, and developed data transformation and workflow applications. Performed data cleaning and manipulation using complex SQL to support certification data analytics for ships, offshore structures, and related installations.
Fusion Middleware Admin at Infosys (Lloyds Bank)
June 1, 2016 - September 9, 2025Monitored Oracle FMW servers, managed deployments via EM, WLST, and Maven, configured certificates and JDBC pools, and performed load monitoring in Informatica while administering OBIEE users and roles.
Data Scientist at Santander UK
September 1, 2022 - PresentDeveloped and deployed an AI-driven pipeline to automate transaction summarization, categorization, and risk detection for financial crime investigations using prompt engineering and large language models. Automated analysis of debit and credit transactions, including high-risk, high-volume, and money mule patterns. Integrated with existing data sources and business workflows for seamless analyst review. Achieved significant reduction in manual review time and improved detection accuracy through SME feedback. Ensured robust monitoring and compliance with data privacy and operational risk standards. Led Call Centre Assistance chatbot project using Retrieval Augmented Generation with Llama and OpenAI LLMs, improving efficiency and accuracy; and a General Product Propensity model to support cross-selling, achieving ~75% MAP in initial results.
Machine Learning Engineer at UoS (Coderus)
August 1, 2022 - September 9, 2025Developed a recommendation engine for Appanalysis and built data pipelines to extract documentation data with Python, Selenium, and text parsing; data stored in MongoDB via RabbitMQ. Implemented end-to-end data standardization, feature selection, model validation, optimization, and deployment. Introduced a robust ML framework and containerized the application with Docker; deployed images to AWS ECR. Built interactive dashboards in PowerBI and Google Data Studio for near real-time analytics.
Data Science Analyst at Accelerant Holdings
February 1, 2020 - September 9, 2025Automated insurance risk assessment by binning applicants into risk classes using ML; translated raw data into actionable insights with visualization. Built reports and dashboards using PowerBI; performed data cleaning and SQL-driven data mapping; developed classifiers and prepared ad-hoc analyses for monthly/weekly business reviews.
Data Analyst at Infosys (Lloyd’s Register data analytics)
October 1, 2018 - September 9, 2025Extracted business requirements, built automated data reconciliation reports, and delivered data transformation/workflow applications. Performed data cleaning and manipulation using complex SQL; supported certification data analytics for Lloyd’s Register.
Fusion Middleware Admin at Infosys (Lloyds Bank)
June 1, 2016 - September 9, 2025Monitored Oracle Fusion Middleware servers, managed deployments via EM, WLST and Maven; configured certificates and JDBC pools; performed load monitoring in Informatica and administered OBIEE users and roles.
Data Scientist at Santander UK
September 1, 2022 - PresentDeveloped and deployed an AI-driven pipeline to automate transaction summarization, categorization, and risk detection for financial crime investigations using prompt engineering and LLMs. Automated analysis of debit and credit transactions, including high-risk, high-volume, and money mule patterns. Integrated with existing data sources and business workflows for seamless analyst review. Reduced manual review time and improved detection accuracy through continuous SME feedback. Ensured robust monitoring, user feedback collection, and compliance with data privacy and operational risk standards.
Machine Learning Engineer at UoS (Coderus)
August 1, 2022 - September 28, 2025Appanalysis is a flagship product focused on competitor analysis, security vulnerabilities, and technology trends. Built a robust ML framework including a custom recommendation engine, data extraction (Python, Selenium, text parsing) stored in MongoDB via RabbitMQ. Implemented end-to-end DS pipeline (data standardization, feature selection, model validation, deployment). Containerized with Docker and deployed to AWS ECR. Created interactive dashboards in Power BI and Google Data Studio for near real-time analytics.
Data Science Analyst at Accelerant Holdings
February 1, 2020 - September 28, 2025Insurance Risk Assessment: Automated the process of binning applicants into risk classes using a simplified ML model. Converted raw data into actionable visualizations and reports; built dashboards in Power BI; prepared data sets using complex SQL; performed data cleaning and mapping; trained and optimized classifiers; supplied ad-hoc data for weekly and monthly business reviews.
Data Analyst at Infosys (Lloyd's Register data analytics)
October 1, 2018 - September 28, 2025Certification data analysis: Extracted business requirements from stakeholders; built automated data reconciliation reports; implemented data transformation and workflow applications; performed data cleaning and manipulation using complex SQL.
Fusion Middleware Admin at Infosys (Lloyds Bank)
June 1, 2016 - September 28, 2025Monitored Oracle Fusion Middleware servers, managed deployments via EM, WLST, and Maven; configured certificates and JDBC pools; performed load monitoring in Informatica; administered OBIEE users and roles.
Education
MSc at University of Essex
October 1, 2018 - October 31, 2019Bachelor of Engineering at Osmania University
August 1, 2011 - May 31, 2015MSc Data & Text Analytics, Machine Learning at University of Essex
October 1, 2018 - October 1, 2019Bachelor of Engineering in Electronics and Communication Engineering at Osmania University
August 1, 2011 - May 1, 2015MSc Data & Text Analytics, Machine Learning at University of Essex
October 1, 2018 - October 1, 2019Bachelor of Engineering in Electronics and Communication Engineering at Osmania University
August 1, 2011 - May 1, 2015MSc Data Science, ML & Text Analytics at University of Essex
October 1, 2018 - October 1, 2019Bachelor of Engineering in Electronics and Communication Engineering with distinction at Osmania University
August 1, 2011 - May 1, 2015MSc Data & Text Analytics, Machine Learning at University of Essex
October 1, 2018 - October 1, 2019Bachelor of Engineering in Electronics and Communication Engineering at Osmania University
August 1, 2011 - May 1, 2015Qualifications
AWS Certified Machine Learning Specialty 2024
January 1, 2024 - December 31, 2024AWS Certified Cloud Practitioner - AWS Academy Cloud Foundations
January 11, 2030 - July 21, 2025PCAP – Certified Associate in Python Programming
January 11, 2030 - July 21, 2025AWS Certified Machine Learning Specialty
January 1, 2024 - August 4, 2025AWS Certified Cloud Practitioner - AWS Academy Cloud Foundations
January 11, 2030 - August 4, 2025PCAP – Certified Associate in Python Programming
January 11, 2030 - August 4, 2025AWS Certified Machine Learning - Specialty
January 11, 2030 - September 9, 2025AWS Certified Cloud Practitioner
January 11, 2030 - September 9, 2025PCAP – Certified Associate in Python Programming
January 11, 2030 - September 9, 2025AWS Certified Machine Learning - Specialty
January 1, 2024 - September 9, 2025AWS Certified Cloud Practitioner - AWS Academy Cloud Foundations
January 11, 2030 - September 9, 2025PCAP – Certified Associate in Python Programming
January 11, 2030 - September 9, 2025AWS Certified Machine Learning Specialty
January 11, 2030 - September 28, 2025AWS Certified Cloud Practitioner - AWS Academy Cloud Foundations
January 11, 2030 - September 28, 2025PCAP – Certified Associate in Python Programming
January 11, 2030 - September 28, 2025Industry Experience
Financial Services, Healthcare, Professional Services, Software & Internet, Other, Media & Entertainment, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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