Nicolas Ayala
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Nicolas Ayala Email & Phone Number

Data Scientist | Machine Learning Expert at Kin Analytics
Location: Hollywood, Florida, United States 6 work roles 3 schools
1 work email found @kinanalytics.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email n****@kinanalytics.com
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Current company
Role
Data Scientist | Machine Learning Expert
Location
Hollywood, Florida, United States
Company size

Who is Nicolas Ayala? Overview

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Quick answer

Nicolas Ayala is listed as Data Scientist | Machine Learning Expert at Kin Analytics, a with 27 employees, based in Hollywood, Florida, United States. AeroLeads shows a work email signal at kinanalytics.com and a matched LinkedIn profile for Nicolas Ayala.

Nicolas Ayala previously worked as Middle Data Scientist at Kin Analytics and Data Scientist at Kriptos. Nicolas Ayala holds Post Graduate Degree In Artificial Intelligence And Machine Learning, 3.71 from The University Of Texas At Austin.

Company email context

Email format at Kin Analytics

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{first}.{last}@kinanalytics.com
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Profile bio

About Nicolas Ayala

Data scientist and machine learning expert with extensive experience in analyzing large data sets, developing predictive models, and creating custom algorithms to solve complex business problems. Strong background in data processing, data mining, storytelling, and deep learning. A creative thinker, adept in machine learning, with hands-on experience in implementing algorithms to improve sales and understand market dynamics. Proven ability to identify efficiencies and address problem areas while working with consulting firms and AI technology startups.

Current workplace

Nicolas Ayala's current company

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Kin Analytics
Kin Analytics
Data Scientist | Machine Learning Expert
quito, pichincha, ecuador
Employees
27
AeroLeads page
6 roles

Nicolas Ayala work experience

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

Data Scientist

Ecuador

• Gained in-depth knowledge of AI algorithms, focusing on machine learning and NLP enhancements. I developed and managed synthetic databases with over 5 million entries, including data generation, validation, and preprocessing.• Trained a Random Forest model using data sourced from AWS S3 via API calls, improving performance with pre-defined modules in a Jupyter notebook on an AWS instance.• Utilized Jira for issue tracking and project management to streamline workflows and ensure efficient project progression.

Aug 2023 - Oct 2023

Data Scientist, Machine Learning

Soproen

Cooper City, Florida, United States

• Conducted data preprocessing, capture, and exploratory data analysis (EDA) on datasets with over 400,000 rows and 80 columns. • Generated a comprehensive EDA report detailing variable correlation, feature engineering, missing value treatment, and outlier detection using K-means and Hierarchical clustering algorithms. This analysis identified significant trends and correlations, providing valuable insights for decision-making.• Developed supervised and unsupervised machine learning models to predict household poverty and program eligibility. Achieved reliable and accurate predictions with a Gradient Boosting Model, attaining an F1 score of 91%.• Prepared a detailed report for KfW, explaining the collected data clearly and thoroughly.

Aug 2022 - Aug 2023

Founder & Owner

Candy Planet

Cayambe, Pichincha, Ecuador

• Contributed to developing a Python-based program for managing sales, inventory, and finances for a confectionery business.• Conducted comprehensive business analytics, including univariate and bivariate analyses, to identify areas for improvement and assess financial performance.• Created data visualizations, including charts, graphs, and heat maps, to provide actionable insights on daily sales trends and popular products.• Utilized industry-standard libraries such as Pandas, Seaborn, and Matplotlib to produce visual representations of sales patterns, client numbers, and revenue relationships.• Identified significant trends and correlations through visualizations, enabling better business decisions.

Jul 2020 - Jul 2021

Senior Programmer Assistant

Soproen Corp

Cooper City, Florida, United States

• Assisted senior programmers in preparing various program requirements for a software to support social emergency/disaster programs in Malawi. I also assisted in software testing requirements through each phase• Assisted in the preparation of IT material, such as PTT's, needed for conferences and training. Also filtered raw data and executed data analysis for social protection projects.• Contributed to the data collection process by administering surveys and ensuring the systematic acquisition of valuable information.

Aug 2020 - Jan 2021

Assistant Programmer

Escapeland

Quito, Pichincha, Ecuador

Created a sophisticated software solution, utilizing the C programming language, to optimize and streamline the operational processes of a gaming store, particularly in relation to payment management and financial tracking. This robust program was designed to enhance efficiency and accuracy by seamlessly handling various payment methods, including associated costs and transactions.By implementing this system, the gaming store was empowered to maintain meticulous records of daily earnings, providing a comprehensive overview of financial performance. Additionally, the software facilitated meticulous inventory management, ensuring real-time monitoring of stock levels, product availability, and replenishment requirements.The software's advanced functionalities enabled the gaming store to effectively track and analyze sales data, identify trends, and make informed decisions to optimize profitability. With its intuitive user interface and seamless integration with existing systems, the program served as a reliable tool to enhance overall operations, enabling the store to provide an efficient and streamlined experience for both customers and staff.

Nov 2018 - Jan 2019
Team & coworkers

Colleagues at Kin Analytics

Other employees you can reach at kinanalytics.com. View company contacts for 27 employees →

3 education records

Nicolas Ayala education

Post Graduate Degree In Artificial Intelligence And Machine Learning, 3.71

Courses Taken: - Fundamentals of AIML - Supervised Learning: Regression - Supervised Learning: Classification - Ensemble Techniques.

Post Graduate Degree In Data Science And Data Management Systems, 4.09

Courses Taken: - Python for Data Systems - SQL and Databases - Data Analytics on the Cloud - Data Visualization using Tableau - Big Data.

FAQ

Frequently asked questions about Nicolas Ayala

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

What company does Nicolas Ayala work for?

Nicolas Ayala works for Kin Analytics.

What is Nicolas Ayala's role at Kin Analytics?

Nicolas Ayala is listed as Data Scientist | Machine Learning Expert at Kin Analytics.

What is Nicolas Ayala's email address?

AeroLeads has found 1 work email signal at @kinanalytics.com for Nicolas Ayala at Kin Analytics.

Where is Nicolas Ayala based?

Nicolas Ayala is based in Hollywood, Florida, United States while working with Kin Analytics.

What companies has Nicolas Ayala worked for?

Nicolas Ayala has worked for Kin Analytics, Kriptos, Soproen, Candy Planet, and Soproen Corp.

Who are Nicolas Ayala's colleagues at Kin Analytics?

Nicolas Ayala's colleagues at Kin Analytics include María Emilia Argoti, Jean Enríquez, Carolina Patiño, Carlos Chamba, and Cristina Del Hierro Ponce.

How can I contact Nicolas Ayala?

You can use AeroLeads to view verified contact signals for Nicolas Ayala at Kin Analytics, including work email, phone, and LinkedIn data when available.

What schools did Nicolas Ayala attend?

Nicolas Ayala holds Post Graduate Degree In Artificial Intelligence And Machine Learning, 3.71 from The University Of Texas At Austin.

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