Motivated and detail-oriented data scientist with some experience leveraging analytical skills to extract meaningful insights from complex datasets. Skilled in data exploration, statistical modeling, and data visualization techniques. Proficient in Python and SQL for data manipulation and analysis. Committed to continuous learning and professional development, actively pursuing upskilling opportunities to stay at the forefront of industry trends.
Experience
Data Scientist
Xlscout
Proficient in conducting comprehensive patent analyses, specializing in claim verification and key feature alignment assessments, and utilizing designated sets of unique case identifiers (UCIDs) for accurate matching. Experienced in utilizing diverse datasets sourced from PDF documents and web repositories for meticulous standards data extraction. Skilled in crafting detailed claim charts and developing innovative products akin to Standdigger for precise infringement detection and analysis.
Jr. Data Scientist
Oriserve
Spearheaded intricate research endeavours encompassing LLMs like Llama2, Stable Vicuna, MPT, and Falcon, culminating in the meticulous fine-tuning of Llama2 tailored for specific chatbot applications. Orchestrated the end-to-end development, strategic deployment, and seamless delivery of the Vodafone-retention bot. This sophisticated bot system internally integrates five intricately woven NLP modules, functioning synergistically to extract contextual insights from data with precision and finesse. Pioneered innovative functionality enhancements, including the artful refinement of intent training techniques, resulting in a remarkable 15% augmentation of user mail experience. Led the exploration of data overfitting mitigation strategies, delving into the intricate realm of few-shot learning methodologies, encompassing advanced approaches such as Siamese, SetFit, Prototypical, and LaBSE.
Education
Jaypee Insititue of Information and Technology
Bachelor in Technology