Rahul Raj

• Architected and delivered multiple production-grade Django web applications used daily by underwriting stakeholders, contributing directly to Aon's reinsurance analytics revenue stream. • Built and maintained 5+ Power BI dashboards integrating multi-source insurance datasets (claims, capacity, pricing), enabling leadership to surface regional trends and rate anomalies across 15+ countries. • Designed a statistical profiling framework (ANOVA, T-tests, correlation analysis, outlier detection) to support data-driven underwriting decisions — replacing manual spreadsheet-based analysis. • Initiated and led a GenAI proof-of-concept using LangChain and LLMs to auto-generate dynamic underwriting narratives from structured data, accelerating stakeholder reporting cycles. • Collaborated with actuaries and underwriters to translate complex reinsurance business logic into scalable Python data pipelines and automated reporting workflows.

- Conduct data analysis to identify patterns, trends, and insights in insurance and reinsurance data. - Develop predictive models using advanced statistical and machine learning techniques to assess risk and pricing. - Collaborate with actuaries and underwriters to enhance risk assessment methodologies. - Utilize data visualization tools to communicate findings effectively to stakeholders. - Advise on data-driven strategies for risk management and portfolio optimization. - Provide expertise in data governance and ensure compliance with regulatory requirements. - Offer training and support to internal teams on data analysis techniques and tools. - Stay updated on emerging technologies and methodologies in data science and apply them to solve business challenges.

- Perform data analysis to detect anomalies, errors, and inconsistencies in financial and operational datasets. - Develop and implement automated data testing scripts to enhance audit efficiency and accuracy. - Utilize data analytics tools and techniques to assess the integrity and reliability of financial information. - Collaborate with audit teams to identify areas for process improvement and optimization using data-driven insights. - Assist in the evaluation of internal controls and risk management frameworks related to digital systems and data. - Conduct forensic analysis of digital evidence to investigate fraud and compliance breaches. - Provide expertise in data privacy and cybersecurity regulations to ensure client compliance. - Communicate findings and recommendations to clients in clear and actionable reports. - Stay abreast of emerging technologies and industry trends to enhance audit methodologies and techniques.

- Conduct data analysis to evaluate the integrity and accuracy of financial and operational data in digital systems. - Develop and implement automated testing procedures to enhance audit efficiency and effectiveness. - Utilize data analytics tools to identify patterns, anomalies, and potential risks within datasets. - Collaborate with audit teams to assess the effectiveness of internal controls and risk management processes related to digital systems and data. - Assist in the identification and investigation of potential fraud or compliance breaches through forensic data analysis. - Provide expertise in data privacy and cybersecurity regulations to ensure client compliance. - Communicate findings and recommendations to clients through clear and concise reports and presentations. - Stay updated on emerging technologies and industry trends to continuously improve audit methodologies and techniques. - Support the development of innovative solutions and approaches to address complex audit challenges in the digital environment.

- Conduct comprehensive assessments of digital systems and processes to identify potential risks and vulnerabilities. - Develop customized risk management solutions tailored to clients' specific digital environments and business needs. - Utilize advanced data analytics techniques to analyze large datasets for indicators of fraud, cybersecurity threats, and compliance issues. - Collaborate with cross-functional teams to integrate digital risk management strategies into audit procedures and frameworks. - Provide guidance and support to clients on implementing effective controls and mitigating digital risks. - Stay abreast of evolving regulatory requirements and industry best practices related to digital risk management. - Conduct training sessions and workshops for audit teams and clients to enhance awareness and understanding of digital risks. - Assist in incident response and forensic investigations related to digital security breaches and data breaches. - Continuously evaluate and improve digital risk assessment methodologies and tools to adapt to changing threats and technologies.

- Design and develop data-driven educational software solutions to enhance learning experiences. - Collaborate with cross-functional teams to translate user requirements into technical specifications. - Implement machine learning algorithms to personalize educational content and recommend resources based on student performance. - Analyze user data to identify patterns and trends, informing product enhancements and feature development. - Develop scalable backend systems and databases to efficiently manage large volumes of educational content and user data. - Utilize data visualization techniques to present insights and performance metrics to stakeholders. - Stay updated on emerging technologies and pedagogical approaches to continually innovate and improve product offerings. - Conduct A/B testing and usability studies to optimize user engagement and satisfaction. - Ensure compliance with data privacy regulations and best practices in handling user data. • Built and maintained full-stack features on myELSA's tutoring platform using React (frontend) and Flask (backend), serving an active base of tutors and students. • Contributed to NLP-driven recommendation engine improvements using NLTK, spaCy, and semantic similarity techniques, enhancing content personalisation and student engagement metrics. • Developed data preprocessing pipelines for educational content, including tokenisation, topic modelling, and sentiment analysis to improve content delivery quality. • Participated in complete product lifecycle — from feature scoping with product leads to deployment — in a fast-paced startup environment. • Built foundational NLP pipelines using Python, NLTK, and spaCy for educational content preprocessing, sentiment analysis, and topic modelling. • Contributed to early-stage personalised recommendation prototype, laying groundwork for later production features.

- Assist in the development of educational software applications and platforms. - Collaborate with senior developers to implement features and functionalities according to project requirements. - Conduct data analysis to gather insights on user behavior and performance metrics. - Support in the integration of machine learning algorithms for personalized learning experiences. - Participate in code reviews and debugging sessions to ensure code quality and reliability. - Contribute to the design and optimization of backend systems for efficient data management. - Assist in the implementation of data visualization tools to present insights to stakeholders. - Stay updated on industry trends and emerging technologies relevant to educational technology. - Engage in continuous learning and skill development to grow as a developer in the ed tech space.

- Support the development team in coding and testing educational software applications. - Assist in data collection and analysis to inform product development decisions. - Contribute to the design and implementation of machine learning models for personalized learning. - Help in creating and maintaining documentation for software development processes. - Participate in team meetings and brainstorming sessions to generate ideas for product improvement. - Gain hands-on experience in software development methodologies and tools. - Collaborate with mentors and senior team members to learn best practices in data research and development. - Assist in user testing and feedback collection to iteratively improve product usability. - Take on additional responsibilities as needed to support the startup's goals and objectives.

- Coordinated the establishment of the startup, defining its mission, vision, and business model. - Led the development of the counseling platform, overseeing its design and functionality. - Collaborated with psychologists and therapists to ensure the platform's effectiveness in delivering counseling services. - Implemented data analytics tools to gather insights on user engagement and outcomes. - Conducted market research to identify target demographics and competitive positioning strategies. - Established partnerships with mental health organizations and institutions to expand the startup's reach. - Managed marketing and promotional activities to raise awareness and attract clients to the platform. - Provided leadership and guidance to the team, fostering a positive and collaborative work environment. - Engaged with investors and stakeholders to secure funding and support for the startup's growth. - Continuously evaluated and refined the startup's services and operations to meet evolving market needs.

• CGPA 6.28 / 10

• CGPA 6.28 / 10