Sumit Jadhav

As a Data Scientist with 2 years of experience, I have a strong background in statistical analysis, algebraic techniques, and various analytical methods. My expertise lies in cleaning, mining, and organizing data for both technical and non-technical audiences. I am highly motivated and diligent in the fields of Machine Learning and Deep Learning, with a focus on embracing new technologies such as generative AI, LLM, PLM, computer vision, and DevOps.

In my current role as a Jr. Data Scientist at Techstawarts, I am working on the Jarvis project, which involves stock market analysis and suggestions. I analyze historical stock data, evaluate machine learning algorithms, and contribute to stage 2 of the project, focusing on Named Entity Recognition (NER) generation, news sentiment analysis, and extracting stock-related summaries from news articles using open-source Large Language Models (LLMs) like Bart. I am also involved in various demo projects, developing solutions such as Face, Age, and Gender detection systems, 3D object detection using LiDAR datasets, question-answering chatbots, and predictive models for insurance datasets.

Prior to this, I worked as a Trainee Engineer at Meticulous, where I analyzed data on Excel to enhance material handling cost reduction and product prioritization. I also constructed dashboards using MS Excel, Tableau, and Power BI. During my internships at Accenture and BSG, I gained experience in data analytics, visualization, and predictive modeling using Python and Excel.