Hello, my name is
Sidharth Rai
Data Scientist
About me
I am an enthusiastic data scientist based in Gurugram, with a rich experience of over 3 years in cloud & machine learning operations.
I build applications based on data insight.
Sidharth Rai excels in collaborative development and optimization using Microsoft Tools and IBM integration solutions. His journey from Associate to a Lead, being a key contributor showcases continuous growth. With expertise in Python, TensorFlow, and Azure DevOps, Sidharth leads the development of advanced machine learning models, ensuring superior performance and scalability.
As a Software Development Engineer in Dubai, he achieved an 80% accuracy in sentiment analysis for tweets, demonstrating his proficiency in research and web design. Sidharth’s skills span data analysis, Power BI, machine learning, and Microsoft Azure. Holding certifications in Power Platform and Azure, he contributes to conferences and seminars, emphasizing the strategic risk, return, and technical analysis of stock prices.
What I do
Data SCIENCE
Crafting insights from data, deploying machine learning models, and diving into computer vision—bridging the gap between raw data and meaningful solutions.
Cloud CONSULTING
Navigating ML Ops intricacies, orchestrating seamless deployments on AWS and Azure—ensuring your machine learning ventures thrive in the cloud.
Web Development
Elevating digital presence with WordPress mastery—customized designs, seamless WooCommerce integration, and dynamic layouts using Elementor, for a captivating online experience.
Skills
Jan 2021 - Current
IBM, Gurugram
Data Scientist | Application Developer
Led ML model design with Python, TensorFlow. Collaborated on model optimization, supported deployment, and facilitated career progression from Associate to Lead of 12 developers.
Jun 2020 - Dec 2020
Allied Lawyers, Dubai
Software Development Engineer
Researched and gathered requirements for secure messaging app. Developed sentiment analysis system achieving 80% accuracy. Designed graphics, boosting axlev.com's engagement by 30%.
Jun 2018 - Jul 2018
Stock Holding Corporation of India Limited, Varanasi
Data Science Researcher – Intern
Analyzed time-series stock market data, improving prediction accuracy by 25%. Identified bullish stocks, resulting in 15% higher returns. Developed data-driven strategies, increasing informed investment decisions by 30%.
15+
Projects Completed In Last 5 Years
2
Publications
30+
Startups benefitted from consulting
Research Paper
The research published in Social Science Research Network (SSRN), talks about Risk and Return from the movement of stock prices by quantitative analysis. It considers both fundamental and technical analysis.
The price movement are sometimes low or high depending not only on company businesses but also on company-related news, socio-political conditions, natural disasters, and economic changes. Here we use a novel machine learning approach, designed and implemented to predict the stock market prices.