HAROLD HENRY

**** ****** ** *** ***, Beaumont, TX 77708 ad3hr6@r.postjobfree.com

EXPERIENCE

Data Scientist / NLP Engineer Vapar Australia

January 2021 – November 2023

Developed system models, prediction algorithms, and solutions for prescriptive analytics problems, resulting in a 12% improvement in accuracy and efficiency of decision-making processes

Communicated results with the operations team, leading to a 20% increase in informed decision-making, and collected data needs and requirements by interacting with other departments, leading to 18% reduction in data acquisition time

Performed Data Profiling to understand turnover behavior before the hiring decision, causing 32% increase in the accuracy of predicting turnover rates without on-the-job behavioral

Demonstrated and built statistical/machine learning systems to solve large-scale customer-focused problems, bringing about 30% improvement in customer satisfaction and leveraging statistical methods to address real-world business problems, leading to a 22% increase in operational efficiency

Conducted a hybrid of Hierarchical and K-means Cluster Analysis using IBM SPSS, identifying meaningful segments through a discovery approach, which led to a 19% increase in targeted marketing effectiveness

Built an Artificial Neural Network using TensorFlow in Python to identify the customer’s probability of canceling connections, producing 23% improvement in churn prediction accuracy

NLP models for Topic Extraction and Sentiment Analysis, leading to a 20% improvement in customer feedback analysis and product improvement insights.

Machine Learning Engineer Arborea United Kingdom

August 2019 – December 2020

Resolved the issues of shipping consolidation by applying data mining techniques, triggering cost-saving of $20,000 annually through optimized logistics and streamlined processes

Conceived and created a machine learning algorithm that detects deviant behavior in robots, leading to improved operational efficiency and preemptive maintenance, reducing the risk of malfunctions and downtime

Enhanced the performance of an automatic data processing machine by analyzing, testing, and debugging 3200+ lines of code, culminating in a 25% increase in processing speed and accuracy

Designed a deep learning model to detect and classify anomalies in the manufacturing process of 34+ industrial robots, leading to an 83% reduction in monthly downtime and significant cost savings.

Researched TensorFlow LSTM networks for speech recognition, OpenCV object tracking algorithms, and 11+ new technologies, yielding a 74% enhancement in a robot’s performance through advanced capabilities and improved functionality.

Data Entry Specialist Vatenfall Sweden

February 2017 – April 2019

Updated and alphabetized records for 150+ customers and employees 5 days per week, ensuring accurate and easily accessible data for efficient operations and customer service

Processed over 2500 customer orders per month, including payment logs and refunds, ensuring timely and accurate transaction records and customer satisfaction

Implemented a 100% computer-based ordering and payment processing system, leading to a 53% reduction in manual work and increased efficiency in order fulfillment and financial transactions

Provided support for additional functions in administrative, payroll, and reception areas, contributing to smooth and effective operations across various departments

SKILLS

Python / R / C++

MS Excel

Statistics

Big Data

SnowFlake

SQL

TensorFlow

LLMs

Natural Language Processing

Data Cleaning and Preprocessing

Data Analytics

Power BI

EDUCATION

Bachelor’s Degree in Computer Science Texas State Technical College

2014 – 2016

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