Prakash Parajuli, Phd
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Prakash Parajuli, Phd Email & Phone Number

Data Scientist | Machine Learning Engineer | Physicist | Material Scientist | Electron Microscopist | Research and Development at Paylocity
Location: Dallas-Fort Worth Metroplex, United States, United States 9 work roles 4 schools
1 work email found @paylocity.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email p****@paylocity.com
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Current company
Role
Data Scientist | Machine Learning Engineer | Physicist | Material Scientist | Electron Microscopist | Research and Development
Location
Dallas-Fort Worth Metroplex, United States, United States
Company size

Who is Prakash Parajuli, Phd? Overview

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Quick answer

Prakash Parajuli, Phd is listed as Data Scientist | Machine Learning Engineer | Physicist | Material Scientist | Electron Microscopist | Research and Development at Paylocity, a company with 3237 employees, based in Dallas-Fort Worth Metroplex, United States, United States. AeroLeads shows a work email signal at paylocity.com and a matched LinkedIn profile for Prakash Parajuli, Phd.

Prakash Parajuli, Phd previously worked as Senior Data Scientist at Paylocity and Data Scientist at Paylocity. Prakash Parajuli, Phd holds Ph.D., Physics (Experimental Material Science), Gpa 3.98 from The University Of Texas At San Antonio.

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Email format at Paylocity

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*@paylocity.com
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Profile bio

About Prakash Parajuli, Phd

An accomplished Data Scientist with 7+ years of experience building AI ML- driven solutions using Python and PySpark Frameworks in Azure and AWS platforms for executing distributed machine learning and cloud-based data pipelines for numerous businesses as well as scientific problems at scale. Excels at mining, cleaning, exploring, and modeling. Highly experienced at data exploration, data insight extraction, feature engineering, creating high-performing AI/ML models, and translating complex results into business recommendations. Led/participated in 10+ advanced data science projects comprising Generative AI, API, NLP, predictive modeling, regression, recommendation, time series forecasting, classification, fraud modeling, and root cause analysis creating end-to-end ML solutions from ETL till deployment with CI/CD, and monitoring partnering closely with product and engineering teams. In addition, I have contributed 15+ peer-reviewed high-impact scientific journal articles, 10+ oral talks at international/national conferences as well as numerous Journal covers and Book Chapters during my doctoral and post-doctoral research period as a physicist and material scientist.

Listed skills include Physics, Research, Electron Microscopy, Materials Science, and 41 others.

Current workplace

Prakash Parajuli, Phd's current company

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Paylocity
Paylocity
Data Scientist | Machine Learning Engineer | Physicist | Material Scientist | Electron Microscopist | Research and Development
schaumburg, illinois, united states
Website
Employees
3237
AeroLeads page
9 roles

Prakash Parajuli, Phd work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist

Current

United States

  • Learning advanced data science tools such as Generative AI, Graph Network Analysis, API tools, CI/CD tools as well as Cloud Computing Services (Azure, AWS) and implementing them for end-to-end Data science projects and.
  • Developed a QA ChatBot implementing a RAG-based approach for internal users, as well as multiple Generative AI projects, including text summarization, generating job descriptions, and many more.
Aug 2023 - Present

Data Scientist

United States

  • Learned advanced data science tools such as Graph Network Analysis, API tools, CI/CD tools as well as Cloud Computing Services (Azure, AWS) and implemented them for end-to-end Data science projects.
  • Created a fraud risk model designed to detect fraudulent activities in advance for direct deposit changes, with the potential to generate over $1 million in annual revenue when integrated into the product.
  • Developed a Time series forecasting platform, forecasting total hours for the upcoming schedule facilitating managers with scheduling and identifying potential overtime hours in advance; and Generating >500K revenue.
  • Developed a centralized data asset for Paylocity to better understand customer feedback across a variety of data sources generating insights and alerts to promote the retention of clients with recurring revenue.
  • Developed a customer churn model alerting possible churning companies to enable stakeholders to make more informed decisions about what efforts or features to prioritize.
  • Built an advanced Organizational network chart, which is embedded in the product generating more than 500k revenue.
Aug 2021 - Jul 2023

Postdoctoral Research Associate

Greater Chicago Area

  • Designed an electrochemical liquid cell TEM to study the electrochemistry of multivalent (Mg, Ca) ion batteries at an elevated temperature
  • Developed EM characterization protocols to investigate the structural and chemical evolution of multivalent battery cathodes during electrochemical cycling.
  • Designed and executed in-situ electron microscopy experiments to understand multivalent ion intercalation in ionic batteries.
  • Strengthened the project and people management skills by working in a big collaboratory group of 200+ researchers and simultaneous execution of 4+ projects.
Jul 2019 - Aug 2021

Data Science Fellow

  • Developed a regression model to forecast time series data whose predicting power is 10% higher than the existing similar ones.
  • Applied feature selection techniques and hyperparameter tuning procedures to improve the model performance by up to 15%.
  • Constructed SQL queries to extract data and actionable insights from relational databases.
  • Built a classification model using supervised machine learning with performance metrics greater than 75%.
  • Applied knowledge and technical skills for data wrangling, exploratory data analysis, feature engineering, inferential statistics, data preprocessing to solve 15+ real-world business problems via various supervised and.
Jun 2020 - May 2021

Graduate Teaching Assistant

United States

  • Managed and taught Calculus-based Introductory Physics-I and II labs. Instructed 500+ students to perform experiments up to 25 students per section.
  • Tutored Physics and Engineering undergraduate students in solving complex Physics and Mathematics problems.
  • Assisted in developing new lab experiments and modify the content of the current lab experiments.
Aug 2015 - May 2019

Graduate Research Assistant

San Antonio, Texas Area

  • Designed and executed scientific experiments to study the microstructural properties (growth, structure, and segregation) of fcc materials in nanoscale.
  • Synthesized different metallic and semiconductor nanocrystals of different shapes and sizes and explored their application to design devices.
  • Characterized Nanoparticles and Thin films using: Atomic Resolution Microscope ( JEOL ARM 200F), Transmission Electron Microscope ( JEOL 2010F), Scanning Electron Microscope ( Hitachi STEM-5500 and Hitachi SEM1510).
  • Performed High-Pressure Experiment using Diamond Anvil CellResults: 7 peer-reviewed journal articles (5 first-authored), 2 Cover Arts, and 10+ presentations in national and international conferences.
Aug 2015 - May 2019

Assistant Research Fellow

Nepal

  • Conducted an assessment to study the environmental radiation level (radon level and EM radiation through cell phone towers).
  • Developed a protocol to study radon exhalation rate from the soil.
  • Initiated and established a collaboration with international team: IAEA to monitor the radiation level and evaluate the radiation effects.Results: 4 Peer-reviewed journal articles (3-first authored)
Mar 2014 - Dec 2014

Lecturer

The Times International College

Kathmandu, Nepal

  • Taught high school Physics for 1000+ students.
  • Helped to design different laboratory experiments and led various science exhibitions.
Jan 2013 - Nov 2014

Academic Coordinator And Teacher

Maitidevi Boarding High School

Kathmandu, Nepal

  • Served the institution as an Academic Coordinator and a Science and Maths Teacher.
  • Published 6 textbooks for high school students during that period.
  • Lead various science exhibitions, demos, and extra-curricular activities.
Jan 2008 - Apr 2013
Team & coworkers

Colleagues at Paylocity

Other employees you can reach at paylocity.com. View company contacts for 3237 employees →

4 education records

Prakash Parajuli, Phd education

FAQ

Frequently asked questions about Prakash Parajuli, Phd

Quick answers generated from the profile data available on this page.

What company does Prakash Parajuli, Phd work for?

Prakash Parajuli, Phd works for Paylocity.

What is Prakash Parajuli, Phd's role at Paylocity?

Prakash Parajuli, Phd is listed as Data Scientist | Machine Learning Engineer | Physicist | Material Scientist | Electron Microscopist | Research and Development at Paylocity.

What is Prakash Parajuli, Phd's email address?

AeroLeads has found 1 work email signal at @paylocity.com for Prakash Parajuli, Phd at Paylocity.

Where is Prakash Parajuli, Phd based?

Prakash Parajuli, Phd is based in Dallas-Fort Worth Metroplex, United States, United States while working with Paylocity.

What companies has Prakash Parajuli, Phd worked for?

Prakash Parajuli, Phd has worked for Paylocity, University Of Illinois At Chicago, Springboard, The University Of Texas At San Antonio, and Nepal Academy Of Science And Technology (Nast).

Who are Prakash Parajuli, Phd's colleagues at Paylocity?

Prakash Parajuli, Phd's colleagues at Paylocity include Shari Lish, Mason Jeffries ☁️, Alex Waas, Alex Johnston, and René Vega Iii.

How can I contact Prakash Parajuli, Phd?

You can use AeroLeads to view verified contact signals for Prakash Parajuli, Phd at Paylocity, including work email, phone, and LinkedIn data when available.

What schools did Prakash Parajuli, Phd attend?

Prakash Parajuli, Phd holds Ph.D., Physics (Experimental Material Science), Gpa 3.98 from The University Of Texas At San Antonio.

What skills is Prakash Parajuli, Phd known for?

Prakash Parajuli, Phd is listed with skills including Physics, Research, Electron Microscopy, Materials Science, Higher Education, Teaching, Characterization, and Nanotechnology.

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