Data Scientist
Gmail: [email protected]
Results-driven Data Scientist specializing in machine learning, deep learning, and large language models. Known for innovative problem-solving and driving efficiency in high-impact projects. Ready to leverage my expertise to fuel your team’s success and innovation.
**Zydus Lifescience Ahmedabad, Gujarat
Data Science Intern Jun 2023– Apr 2024
- Study and Prediction of L.O.D (Loss On Drying) Compression Force In Pharma: Investigated Loss on Drying (LOD) and Compression Force in pharmaceuticals. LOD ensures product stability, while Compression Force maintains tablet quality. By leveraging data from the PI WEB API hosted on Azure, I aim to predict these parameters accurately. Additionally, I engineered an AI chatbot for analysis, boosting pharmaceutical product quality by 30% and slashing drying time by 40%.
- Comparative Analysis: Leveraged Django, Plotly, and Pandas to scrutinize batch variations, refine production, ensure unwavering quality, and boost consistency, reducing batch variation by 15%.
- DMAR(Digital Manufacturing Analysis Report): Engineered a system utilizing Streamlit, PyPDF, and Pandas to analyze manufacturing data and produce Min/Max CPP reports for various machinery, empowering process optimization through batch comparison, culminating in a remarkable efficiency surge of 60%.
- Document Assist: Built a platform with LLM, Vectordb, Langchain and Svelte Kit for seamless interactions with an AI chatbot, extracting insights from diverse documents, enhancing accessibility, and cutting retrieval time by 25%.
- Data Insight Navigator: Forged a tool integrating AI chatbot technology with the PI Web API, leveraging PandasAI and LLM, Vectordb, Langchain. This enables natural language interaction with data, streamlining exploration and boosting efficiency by 35%.
- Employee Attrition Prediction: Engineered a predictive model using Machine Learning and Streamlit to forecast employee attrition, bolstering HR planning and management strategies and elevating HR planning accuracy by 20%.
BISAG-N Gandhinagar, Gujarat
Data Science Intern Jan 2022– Jun 2022
- Phishing Site Detection: Contributed to a project enhancing the accuracy of phishing site detection by 25% using machine learning algorithms.
- Security Threat Identification: Improved system accuracy in identifying security threats, reducing false positives by 15%.
Master of Technology 2022-2024 Pandit Deendayal Energy University, Gujarat CGPA: 8.81
Course: Data Science