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India
3 years of experience
I’m a rising graduate studying computer science, focusing on big data analytics. I have always loved the scalability of tech solutions to challenging problems. As a Data Analyst with experience in Power BI and Tableau, I specialize in developing interactive dashboards and visualizations that drive business decisions and strategy. My expertise includes data extraction, cleaning, analysis, and reporting, enabling organizations to make data-driven decisions confidently. Passionate about leveraging data to solve problems and uncover trends, I am committed to continuous learning and professional growth in the field of data analytics. In addition to my technical skills, I bring leadership experience as the VP of Administration at Women in Engineering and Computer Science (WIECS). In this role, I effectively managed administrative operations and collaborated with diverse teams to promote inclusivity and support initiatives. Post-graduation in December 2024, I look forward to applying my skills and experience in diverse environments. Whether it's within technology startups, established corporations, or innovative research teams, I am excited about contributing to impactful projects and driving meaningful change through data.
Pursuing a Bachelor's in Computer Science dealing in advanced techniques and technologies .
The AI-driven chatbot is designed to enhance customer service in retail environments. By integrating a fine-tuned xLAM adapter with the xLAM model using PEFT, the chatbot delivers precise, reliable responses through tool-calling functions. This system leverages predefined SQL functions to query and analyze synthetic retail data, ensuring accuracy and minimizing the risk of AI hallucinations. the chatbot operates through a user-friendly Streamlit interface, which not only facilitates seamless interactions but also maintains a record of previous conversations for improved customer support. This combination of advanced AI and robust tool integration offers an effective solution for managing and responding to retail inquiries.