Case Summary:

“[The client’s] ongoing research is important for developing accurate data management tools for retailers to use in correctly analyzing market data and choosing the best price for any given commodity. [The client’s] work helps to automate the difficult process of cost and price optimization, allowing companies to provide their customers with better prices and to better compete in the marketplace. Thus, [the client] is extremely well-positioned to drive innovation in data analytics and be a productive force in providing enhanced customer service and satisfaction across various industries.”

“[The client] is key to the development of such technologies. Through his work in both the banking industry and now the retail industry, he has continually applied his expertise as a data scientist to the development and optimization of responsible data processing technologies that fulfill the dual goals of providing better goods and services while protecting consumer privacy.”

These are two sample testimonials selected from letters of recommendation written for a client of ours who had come to us wanting to file his NIW (National Interest Waiver) application. He was a lead data scientist from China and his research was on developing state-of-the-art mathematical and statistical models. He wanted to solve practical business problems and enhance the ability to forecast outcomes and support decision-making and strategizing.

These testimonials were used by our team while writing his petition along with other information collected from various documents along the way. Some of these were as follows:

• His work is significant because it helps enhance the accuracy and efficiency of data analysis tools, which are among the most important assets for modern businesses wishing to remain competitive in the global marketplace.
• His proposed endeavor also has broad implications for the United States, since the retail sector is one of the most important parts of the American economy.
• Due to its clear national importance, his work has in fact been supported with funding from the National Science Foundation (NSF).
• Academically, his work has resulted in 5 peer-reviewed journal articles (2 of them first-authored). And they have been cited a total of 52 times according to Google Scholar, thereby demonstrating that these publications are widely recognized and relied upon in the field of data science.
• We presented detailed descriptions of 3 of his key projects as evidence of his contributions to and expertise in the field of data science.

Thus, as the above evidence shows, the significance of our client’s work in his field was corroborated by the evidence of peer and government interest in his research. The 4 letters of recommendation we added helped him in getting the approval without RFE. We wish him all the best in his future endeavors.