PRAMISHAN REGMI

DATA SCIENCE STUDENT/MANUFACTURING ENGINEER

P

650-***-****

E

ad3i52@r.postjobfree.com

A

Arlington, Texas

W

https://www.linkedin.com/in/pramishan-regmi

OBJECTIVE

EDUCATION

Pursuing a transition from manufacturing engineering to a data scientist role, aiming to apply my robust analytical and problem-solving abilities to generate data-driven insights and pioneer innovative solutions within a dynamic and technology-centric setting.

University of the Cumberlands, Williamsburg, KY

MS Data Science

The University of Texas at Arlington, Arlington, Texas

BS Mechanical Engineering

Minor Aerospace Engineering

KEY SKILLS

R PROGRAMMING

PYTHON

NLP

MACHINE LEARNING

SQL

POWER BI

TABLEAU

ALTERYX

C PROGRAMMING

AWS

HADOOP

SNOWFLAKE

BIG DATA

DATA MINING

DEEP LEARNING

MATLAB

PROFESSIONAL SOCIETIES

PHI THETA KAPPA HONORS SOCIETY MEMBER

MAY 2018 - PRESENT

EXPERIENCE

Sep 2022 – Mar 2023

Manufacturing Engineer, Zimmer Biomet

Executed quality tasks for design changes and new products, provided inputs, and participated in investigations related to Non-conformance reports (NCR), Deviations, CAPA, GR&R studies, and Supplier Corrective Action Reports (SCARs). Implemented quality support activities in manufacturing areas, designed and facilitated fabrication of fixtures using SolidWorks, and reviewed validation reports (IQ/OQ/PQ) and TMV protocols for existing and new equipment, including EQ validation for a 9-stage passivation device.

DATA SCIENCE PROJECTS

Formulated a sentiment analysis model using Python that can analyze customer reviews and determine the sentiment expressed.

DATA ENGINEERING PROJECTS

Developed a comprehensive data engineering project using Alteryx for data preparation and transformation, and Tableau for visualization, to enable businesses to analyze customer behavior, segmentations, and sales trends.

DATA ANALYZING PROJECTS

Created a comprehensive data analysis project using Power BI to analyze and visualize sales performance, providing actionable insights for business decision-makers.

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