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Kristy Tarano

Kristy Tarano

Data Scientist - Predictive Modeling

USA flag
Orlando, Usa
$55.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Medical DicomMedical Dicom
Computer Code ProgrammingComputer Code Programming
TextText

Top Label Types

Classification

Freelancer Overview

I am an asset management analyst with a Masters Degree in Data Science with hands-on experience in machine learning, deep learning, and data analysis, specializing in projects that involve AI training data and predictive modeling. My work includes reproducing the YOLO deep learning algorithm for real-time object detection and using Random Forests and PCA to optimize cybersecurity data pipelines, both of which required meticulous data annotation and feature selection. I am proficient in Python, R, SQL, Apache Spark, and data visualization tools, and have a strong background in managing and validating large datasets. My experience in IT asset management and support roles has strengthened my attention to data accuracy, process compliance, and cross-functional collaboration, making me well-equipped to contribute to data labeling and AI training data initiatives across domains such as computer vision, cybersecurity, and healthcare analytics.

IntermediateEnglishArabicSpanish

Labeling Experience

Analysis of Cybersecurity Data with Random Forest

OtherComputer Code ProgrammingClassification
A scalable intrusion detection system by running a machine learning framework over Apache Spark for processing the large-scale UWF-ZeekData22 cybersecurity dataset. Our system used Principal Component Analysis (PCA) to reduce feature dimensions and employed a Random Forest to detect different types of cyber intrusions aligned with the MITRE ATT&CK framework.

A scalable intrusion detection system by running a machine learning framework over Apache Spark for processing the large-scale UWF-ZeekData22 cybersecurity dataset. Our system used Principal Component Analysis (PCA) to reduce feature dimensions and employed a Random Forest to detect different types of cyber intrusions aligned with the MITRE ATT&CK framework.

2025 - 2025

Analysis of medical insurance cosr

OtherMedical DicomClassification
This a Machine Learning project to predict medial costs based on a patient's age, sex, BMI (Body Mass Index), number of children, smoker status, and United States region of the policyholder. The data is statically analyzed and predicted using Linear Regression models in Python.

This a Machine Learning project to predict medial costs based on a patient's age, sex, BMI (Body Mass Index), number of children, smoker status, and United States region of the policyholder. The data is statically analyzed and predicted using Linear Regression models in Python.

2024 - 2025

Predictive Capabilities of Lasso Regression

OtherTextClassification
Demographic factors and health indicators were used to predict various genetic disorders. LASSO regression was used on a multinomial logistic regression model to train and accurately predict genetic disorders utilizing R.

Demographic factors and health indicators were used to predict various genetic disorders. LASSO regression was used on a multinomial logistic regression model to train and accurately predict genetic disorders utilizing R.

2024 - 2024

Education

U

University of West Florida

Master of Science, Data Science

Master of Science
2023 - 2025
F

Florida International University

Bachelor of Arts, International Relations

Bachelor of Arts
2014 - 2018

Work History

H

Hub International

Asset Management Analyst

Orlando
2024 - Present
A

Abbott Laboratories

IT Migration Specialist

Orlando
2021 - 2023