Data Scientist
CurrentIn my current role as a Jr. Data Scientist at Techstawarts since August 2023, I've been deeply involved in the "Jarvis" project, catering to markets like Australia and Saudi Arabia. My responsibilities span data analysis of a decade's worth of data, employing various indicators and machine learning algorithms to provide insightful stock recommendations. Currently, I'm actively engaged in stage 2 of the project, focusing on tasks such as Named Entity Recognition (NER) generation, news sentiment analysis, and summarization using advanced LLMs like Bart. Additionally, I've spearheaded diverse demo projects, including Face, Age, and Gender detection, 3D object detection with LiDAR datasets, and building question-answering chatbots. My continuous learning ethos extends to mastering cutting-edge tech stacks like AWS deployment, MLFlow, and crafting user interfaces with Flask, Fast API, Gradio, and Streamlit. I'm also adept at leveraging generative AI tools like Gemini and Bard, alongside customizing open-source LLMs to meet project requirements.