Kolkata, India

Mubbashir Nazir

This inventor holds 4 USPTO granted patents. Top assignees: Datainfocom USA, Inc., Datalnfocom USA, Inc.. Active years: 2020-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mubbashir Nazir. Retrieved from https://idiyas.com/inventor/mubbashir-nazir

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.8

ph-index = 3

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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4 patents (USPTO):Explore Patents

Title: Mubbashir Nazir: Innovator in Customer Targeting and Weather Forecasting

Introduction

Mubbashir Nazir is a notable inventor based in Kolkata, India, recognized for his contributions to the fields of customer targeting and weather forecasting. With a total of four patents to his name, Nazir has developed innovative systems and methods that leverage data to enhance decision-making processes in various industries.

Latest Patents

One of Nazir's latest patents is titled "Systems and methods for segmenting customer targets and predicting conversion." This invention provides methods, systems, and apparatuses, including computer programs encoded on computer storage media, for generating prediction models related to targeting and acquiring customers. The approach utilizes thousands of variables of historical data, including data for prospects and external data, to train the prediction models. The variables undergo pre-processing, followed by sensitivity analysis to identify the most influential factors for the target, which are then incorporated into the feature set for training the prediction model.

Another significant patent is "Short-term weather forecasting using hybrid data." This invention encompasses methods, systems, and apparatuses for generating weather forecasting modules from both unstructured and structured historical weather data. The weather forecasting modules utilize models, such as neural networks, to generate forecasts based on input weather data. Each module can focus on specific regions, weather variables, and forecasting time periods. The integration of unstructured data allows for the generation of weather-related variables, which are combined with structured data to create a comprehensive feature set for the model.

Career Highlights

Mubbashir Nazir has worked with prominent companies, including Datalnfocom USA, Inc. and Datainfocom USA, Inc. His experience in these organizations has contributed to his expertise in data analysis and predictive modeling.

Collaborations

Throughout his career, Nazir has collaborated with talented individuals such as Wensu Wang and Patrick John Thielke. These collaborations have likely enriched his work and led to innovative solutions in his fields of expertise.

Conclusion

Mubbashir Nazir stands out as an inventor who has made significant strides in customer targeting and weather forecasting through his innovative patents. His work exemplifies the power of data-driven solutions in enhancing business strategies and improving forecasting accuracy.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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