Jul 2023 – Feb 2025 · 1 yr 7 mos · Ahmedabad, Gujarat, India · Hybrid

• Working on enhancing Microsoft Co-pilot by identifying and resolving loopholes to improve AI performance, accuracy, and user experience.
• Achieved a 20% market profit increase by extracting 1 lakh+ citation statements and analyzing them for the LLM model building.
• Contributed to the enhancement of the innovative Generative AI products, including Copilot and BizChat, by developing human-like, contextually grounded, and responsible AI responses across multiple languages while minimizing hallucinations.
• Responsible for validating and evaluating NLP model performance using standard metrics and techniques through Microsoft’s in-built tools, supporting the development and deployment of improved Gen-AI algorithms in the Conversational AI project.
• Working with data scientists and engineers to analyze and prepare the data required for training AI models, thus optimizing model performance.
• Visually compelling data visualizations to communicate complex business insights to stakeholders through Power B.I.
• Responsible for analyzing and preprocessing large volumes of data to ensure data quality, handle missing values, and prepare the data for machine learning algorithms.

Jan 2021 – Aug 2023 · 2 yrs 7 mos · Vadodara, Gujarat, India · Remote

• Developing business intelligence, visual reports, dashboards and performing ETL process to analyse the business data which helped the organization take better data driven decision to solve the business problems.
• Conducted data modeling to create relationships between tables and develop a robust data structure
• Applied advanced functions to transform and manipulate data, providing valuable insights and analysis
• Designed and developed interactive visualization dashboards using Power BI, enabling business managers to make informed decisions based on data-driven insights, saving business time and increasing efficiency

Jun 2018 – Aug 2018 · 2 mos · INDORE · On-site

• Data Analytics initiative that aimed to provide insights and visualization for company's marketing and sales reports.
• Achievements made during this project were increased data accuracy , reduced processing time , improved data visualization and increased user engagement.