. Motivated to find creative solutions for data driven problems using physics and statistical insights. . More that 5 years of experience in software development, experimental design and analysis of big data. . Experienced in machine learning, AI, and regression and their practical applications.
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Data ScientistApple Aug 2020 - PresentCupertino, California, UsDesign, Develop and Deploy Time Series forecast models.Solved scale problem in forecasting using multivariate LSTM models. -
Data ScientistAt&T Aug 2019 - Aug 2020Dallas, Tx, Us• Analyzed Customer Self Installation (CSI) data and help reducing overall dispatch rate.• Developed work order queue simulation for call center agents and optimized wait time for customers.• Studied consumer lifecycle to understand customer behavior from product research to purchase to re-purchase.• Generated input for intent recognization chatbot using text data clustering and graph theory.• Used NLP on customer-agent text transcripts for discovery analytics, chatbot use and real-time profanity filter. -
Data ScientistApple Jan 2019 - Aug 2019Cupertino, California, Us• Extracted, cleaned, transformed and analyzed millions of customer sales records using Python.• Applied Prophet and ARIMA models for trend analysis, outlier detection and forecasting global sales data.• Used clustering algorithm to understand profiles and behaviors of seller and buyer.• Built front-end Tableau sales insight dashboard for business analyst and business leaders. -
Data Science FellowInsight Data Science Sep 2018 - Jan 2019San Francisco, Ca, Us• Designed and developed eco-friendly product recommendation system for an office supply company, Raw Office.• Applied bag-of-words TF-IDF approach for natural language processing on over a million sales inventory data points and classified product categories using logistic regression with 94% accuracy.• Built front-end for product recommendation engine with Flask and deployed on AWS. -
Research ScientistThe University Of Texas At Austin Jan 2018 - Sep 2018Austin, Tx, Us• Analyzed and feature engineered TBs of data from a nuclear collision experiment at an accelerator facility (Brookhaven National Lab) to extract signals from background and used the signals to measure asymmetry in distribution of particle fragments produced in the collisions.• Developed a pipeline to analyze billions of particles trajectories and identified over a thousand unique correlation features. The pipeline can efficiently be used for new sets of data saving 1000s of hours of work. -
Data ScientistCisco Aug 2016 - Dec 2017San Jose, Ca, Us•Applied classification algorithms (Naive Bayes, Random Forests, XGBoost) to identify malicious actors in DDoS cyber-attack and improved accuracy by 7%.• Consulted with five partner companies that were interested in Cisco data analysis and automation product. Used the product and customer data to validate the performance and efficiency in the analysis.• Tested and validated data analytic products from four companies which were aligned for acquisition and reported evaluation metrics such as scalability, reliability and ease of operation.• Research, use case development, prototyping and POC in network security, performance and user experience domain in collaboration with network engineers and data scientists.• Network Telemetry: Research and development in SNMP/IOS-XR Telemetry data for pipelining,automation and orchestration using Pipeline, Grafana, PNDA etc. SNMP and BGP data analytics for different use cases using different methods including association rule mining method.• Managed laboratory with several rack servers and routers. Installed and used virtualization tools, hypervisors, softwares to study network flow. -
Graduate Research AssistantThe University Of Texas At Austin Jun 2012 - Aug 2016Austin, Tx, Us• Worked in multinational scientific collaborations MINOS and STAR for research and software development using C/C++.• Involved in measurement and analysis of statistical properties of hot, dense nuclear matter created with a large particle accelerator at Brookhaven National Laboratory.• Performed and concluded several multivariate analysis on experimental data of tera-byte scale.• Analyzed tera-byte scale data sets on several parallel computing clusters includingTexas Advanced Computing Center and National Energy Research Scientific Computing Center.• Assembled components of a large scale particle detector sub-system called Muon Telescope Detector.• Presented analysis results at several conferences and collaboration meetings.• Worked as a QA manager and improved the functionality, updated the changes and added features ofonline software in which collaborators relied on for real-time quality assurance of data with minimal available downtime. -
Graduate Teaching AssistantThe University Of Texas At Austin Aug 2010 - May 2012Austin, Tx, Us• Involved in teaching and grading laboratory courses for undergraduate physics courses.1. Electricity and Magnetism 2. Optics and Wave and 3. Mechanics. -
Graduate Teaching AssistantUniversity Of Minnesota Duluth Aug 2008 - May 2010Duluth, Minnesota, Us• Involved in teaching and grading laboratory courses for undergraduate physics courses.1. Electricity and Magnetism 2. Mechanics.
Prabhat B. Education Details
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The University Of Texas At AustinNuclear Physics -
The University Of Texas At AustinStatistics And Data Science -
University Of Minnesota DuluthHigh Energy Physics
Frequently Asked Questions about Prabhat B.
What company does Prabhat B. work for?
Prabhat B. works for Apple
What is Prabhat B.'s role at the current company?
Prabhat B.'s current role is Data Scientist.
What schools did Prabhat B. attend?
Prabhat B. attended The University Of Texas At Austin, The University Of Texas At Austin, University Of Minnesota Duluth.
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