About

Shaurya Negi is a meticulous and detail-oriented software engineer with over 4 years of experience in the IT industry. He is currently working as a Data Scientist and Deep Learning Developer at arya.ai. Shaurya is passionate about using data and common sense to generate simple, implementable solutions to complex problems. He possesses widespread and progressive experience in the IT industry, focusing on furnishing insights, analytics, business intelligence, and statistical analysis needed to guide decisions. Shaurya is a proven IT professional with a reputation for delivering cutting-edge innovations in tech-driven CSR initiatives. He is experienced in Market Research, Tech Support, and Digital Marketing. His daily work involves creating data regression and classification models, using predictive data modeling, and analyzing machine learning algorithms to deliver insights and implement action-oriented solutions to complex business problems. Shaurya's key skills include Data Analysis, Predictive Modelling, Deep Learning, Statistical Computing Methods, ML Algorithms, and Data Visualization. He is proficient in Python, Relational Databases (SQL), Git, Tableau, and MS Excel. Shaurya is also a mentor at deeplearning.ai, where he provides guidance, advice, feedback, and support to students. Shaurya has a Master of Science (MS) in Computer Science from Georgia Institute of Technology, where he is currently pursuing his degree. He also has a Bachelor of Technology (BTech) in Computer Science Engineering from Manipal University. In his previous role as a Data Analyst, Business and Prescriptive Analytics at sankalptaru foundation, Shaurya conducted data cleaning, data modeling, exploratory data analysis, and implemented statistical and machine learning models to understand and interpret the information more strategically. He developed machine learning pipelines and user-defined functions for incoming projects, saving 10 hours per week by automating the workflow it takes to produce a machine learning model. Shaurya also collaborated across multiple functional departments, translating business problems into solvable cases with emphasis on developing key metrics to achieve business outcomes. He built Tableau dashboards to visualize core business KPIs (e.g. Company Monthly Expenses) and implement strategic business decisions, saving 30 hours per month of manual reporting work. Shaurya is a Research Scientist, Data Scientist, Deep Learning expert, and Software Engineer with 5.62 years of relevant experience. He is passionate about helping businesses succeed and is always looking for new opportunities to innovate and learn.