DataCalculus
Saeed Talebzadeh has worked in multiple roles and companies throughout their career. In 2019, they founded and became the Chief Executive Officer of DataCalculus. DataCalculus offers advanced data-driven decision-making tools for businesses, providing actionable insights without the need for extensive data science knowledge.
In 2021, Saeed joined Expert Dojo as a member of International Batch 21Q1. DataCalculus was selected as one of the top 10 accepted teams among international startups. Expert Dojo is a California-based growth accelerator that specializes in quick-scaling startups with global potential.
In 2019, Saeed also became a member of B2B-SaaS Batch 16 at Startup Wise Guys. DataCalculus was once again selected as one of the top 10 accepted teams among over 500 startups. Startup Wise Guys is Europe's most experienced B2B startup accelerator.
Overall, Saeed Talebzadeh has demonstrated their expertise and commitment to the field of data-driven decision-making through their work at DataCalculus and their participation in prestigious accelerator programs.
Saeed Talebzadeh's education history includes acquiring a Doctor of Philosophy (Ph.D.) degree in Industrial Engineering from the University of Rome Tor Vergata. This educational journey took place from 2013 to 2017.
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DataCalculus
DataCalculus is the first software that not only empowers data experts to be four times more productive but also enables the executives to develop AI-Driven strategies in one single day. Now, C-suites and heads of departments can confidently create their action plans by data-validated strategies.This is the most automated software for advanceddata analysis and machine learning on the planet. It handles all the complexities behind the scenes and provides the ultimate experience for the end user. It means saving time, money, and human resources for our customers.DataCalculus covers all the major data mining techniques and applications, data visualization, anomaly detection, association rule learning, classification, and clustering. It automatically starts to load and analyzes the data, summarizes and generates a simple and interactive visualization, reports the overall and local statistics of the dataset, and detects the overall anomalies and local outliers.