Ranitha Dudhani

• Delivered analytics, machine learning, and AI engineering solutions across major energy, banking, and insurance clients, including building predictive models, classification pipelines, and NLP‑driven automation.
• Designed and optimised LLM/AI prompts, evaluation frameworks, and segmentation strategies to improve model accuracy, coherence, and business alignment.
• Conducted end‑to‑end data analysis, including data cleansing, modelling (linear/logistic regression), dashboard optimisation, and ETL workflow enhancement using Python, Power BI, and IBM DataStage.
• Identified process inefficiencies and developed data‑driven recommendations, partnering with architects and stakeholders to improve data quality, automate reporting, and streamline operational decision‑making.

•Supported end‑to‑end delivery resource planning and budgeting activities by analysing capacity requirements, forecasting utilisation, and assisting in the development of cost‑efficient allocation models.

•Built foundational capability in IBM DataStage, gaining experience with ETL concepts, data integration techniques, and workflow design to support future automation and reporting enhancements.

•Cleaned, pre-processed, and explored large datasets using Python to ensure data quality and uncover trends.

•Applied machine learning models including linear regression and logistic regression to identify patterns, predict outcomes, and support data-driven decisions.

•Delivered actionable insights and strategic recommendations through detailed analysis, factor and predictive modelling, and clear visualizations using Matplotlib and Power BI.

•Designed and optimised prompts to guide AI model behaviour, ensuring outputs met defined criteria for accuracy, tone, and contextual relevance.

•Defined evaluation metrics and applied structured testing frameworks (e.g., ROUGE) to assess model performance through both quantitative analysis and qualitative review.

•Investigated response segmentation strategies to determine optimal chunk sizes, enhancing the coherence and completeness of AI-generated content.

•Conducted analysis to identify operational inefficiencies and evaluated automation opportunities, delivering structured reports with strategic recommendations and implementation plans.

•Collaborated with data architects to design data mappings and automate key reporting workflows, enhancing data accuracy and process efficiency.

•Enhanced interactive dashboards by refining underlying business logic, optimizing data processing flows, and improving clarity, usability, and decision-making value for stakeholders.

•Constructed and curated high-quality training and testing datasets for determination and confirmation classifiers, ensuring robust model validation and performance benchmarking.

•Assessed classifier accuracy using statistical evaluation metrics and iteratively expanded datasets to improve model generalisation and reduce misclassification rates.

•Delivered strategic recommendations for integrating Watson AI into claims processing workflows, leveraging NLP and classification models to automate entry categorisation and streamline business operations.

•Collaborated with stakeholders to gather and analyse business requirements focused on voltage management and optimisation, translating operational needs into actionable data-driven strategies.

•Designed and iteratively refined catalogue models to evaluate and enhance data collection workflows and reporting mechanisms, supporting improved decision-making.

•Conducted in-depth reviews of existing business processes, identifying inefficiencies and recommending data-informed solutions to streamline operations and address key pain points.

•Developed a predictive model using IBM Watson Natural Language Understanding to classify and prioritise customer utterances, improving automation and response accuracy.

•Trained IBM Watson Assistant with machine learning techniques to enhance intent recognition and logical flow mapping.

•Conducted end-to-end system testing and leveraged Splunk reporting to analyse conversation patterns and identify areas for improvement.

• Developed a React web application using Next.js to conduct organisational risk assessments and generate meaningful risk scores based on client responses.
• Implemented core application features including a secure login portal, survey management homepage, and pages for creating, viewing, editing, and sharing surveys.
• Built dynamic form logic and data‑driven scoring mechanisms to translate user inputs into structured risk outputs.
• Applied front‑end development best practices in component design, state management, and user experience optimisation.

• Assisted in the redesign and development of the “How to Grow Your Mind” interactive digital journal, improving usability, visual appeal, and user engagement.
• Rebranded existing digital slideshow presentations in alignment with updated 2022 brand guidelines, ensuring consistency across all visual assets.
• Produced short instructional videos and digital media content to support two growth‑mindset games, enhancing clarity and user experience.
• Contributed to UI/UX design decisions through layout refinement, visual storytelling, and the creation of intuitive user pathways.

• Trained primary and high‑school students in foundational robotics concepts, covering coding, electronics, and mechanical design.
• Introduced students to programming languages such as Python and C++, enabling them to program robots to perform autonomous actions.
• Delivered hands‑on workshops that strengthened problem‑solving, computational thinking, and STEM capability in young learners.
• Supported students in building and testing functional robotic systems, fostering curiosity and technical confidence.

• Supported delivery of live client projects across web application development, POS systems, and custom application builds, working with multiple technologies and development platforms.
• Designed and developed several CRM solutions to track sales pipelines, manage customer contact information, and automate workflow processes to improve task accuracy and timeliness.
• Engaged directly with clients through meetings and regular communication to gather requirements, define user needs, and storyboard solutions to ensure alignment with expected outcomes.
• Coordinated with development teams to translate business requirements into actionable tasks and support successful product delivery.