SAGAR MAHESHWARI

Developed web applications with Python and React.js, integrating OpenAI models for analyzing image and audio data. Effectively communicated with stakeholders, influencing decision-making processes and ensuring alignment with business requirements using JIRA. Established and deployed Key Performance Indicators (KPIs), enhancing data-driven decision-making and improving data accessibility by 30% usi

Proficiently used SAP and PowerBI for data modeling and reporting, improving reporting accuracy by 20% through enhanced data assurance processes. Supported Strategic Applications Managers in designing, building, and deploying new technical workflows, including configuration documentation and User Acceptance Testing (UAT). Collected, analyzed, and coordinated quantitative data, creating reports and

Optimised performance of key assets in Affinity Water's drinking water network, ensuring regulatory compliance and timely asset reporting within a 5-day time frame. Developed predictive models using statistical and machine learning techniques to forecast future trends and behaviors, improving risk detection accuracy by 30%. Conducted in-depth analyses spanning over 30 years of data, employing stat

Researched the initial phase of a startup function according to market-driven standards. Created cloud migration to AWS and optimization techniques for efficient deployment of initial investment. Developed comprehensive documentation to assist in team sales pitches.

Communicated insights to senior stakeholders and collaborated with technology teams to automate decision data, ensuring 95% on-time project completion. Generated reports in Excel and PowerPoint to conduct trend analysis and research on environmental topics, identifying target segments. Collaborated with senior management to raise awareness of Environment to 5,000+ followers on social media, gainin

Implemented robust data collection and reporting mechanisms, ensuring accuracy and compliance with regulatory standards. Developed and maintained reporting processes, providing critical insights into operational performance and potential impacts. Collaborated with various departments to optimise systems and support regulatory and business requirements effectively, contributing to strategic decisio

Grade: Merit

Activities and societies: Organised and advertised 10+ quarterly networking events with 200+ participants. Founded and created content for the Instagram page GUJJU_NI_MOJ_76, gaining over 41,000 followers. Served as an International Student Representative on the Admission and Induction Committee, working to increase international student participation in the Students’ Union.

Undertook a critical analysis of financial statements and explored sentimental classification methods using WordlistClassifier and Naive Bayes Classifier. Developed fairness-based machine learning models, integrating fairness metrics alongside accuracy for equitable outcomes. Predicted house prices using classical machine learning techniques, focusing on data visualization and hyperparameter tunin