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Associate Principal Engineer

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A professional data scientist adept at collecting, cleansing, and organizing data for predictive modeling. Proficient in applying advanced statistical modeling techniques to address complex business challenges. Highly organized, motivated, and excellent problem-solver with more than 3 years of experience in Machine Learning and Artificial Intelligence.

Data science expert with over 9 years of dedicated experience in data science, contributing to more than 12 years of overall professional experience. Specializing in machine learning, NLP, and predictive modeling, I excel at converting complex datasets into actionable insights that enhance decision-making and business strategies. Proficient in Python, R, SQL, and leading data visualization tools, I have a proven track record of improving operational efficiency and driving revenue growth. Skilled in stakeholder management and leading cross-functional teams, with experience collaborating directly with third-party partners to integrate cutting-edge AI solutions.

Experienced professional in data science and predictive modeling. Bring critical thinking, problem-solving, communication, and teamwork skills to excel in collaborative environments. Adept at optimizing productivity, and aspire to empower decisions with the best data-driven insights.


  Around 8 years of professional IT experience with 5 years of experience in Data Science
  Familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Data Analytics, Machine Learning (ML), Predictive Modelling, Natural Language Processing (NLP), Time series analysis and Deep Learning algorithms.
  Experienced in facilitating the entire lifecycle of a data science project: Data Extraction, Data Pre-Processing, Feature Engineering, Dimensionality Reduction, Algorithm implementation, Back Testing and Validation.
  Expert knowledge in machine learning algorithms such as Linear, Polynomial, Logistic Regression, Regularized Linear Regression, SVMs, Neural Networks, Extreme Gradient Boosting, Decision Trees, K-Means, Gaussian Mixture Models, Hierarchical models, Naïve Bayes.
  Well versed with dealing with Structured and Unstructured data, Time Series data and statistical methodologies like Hypothesis Testing, ANOVA, multivariate statistics, regression, classification, modeling, decision theory, time-series analysis and Descriptive statistics.
  Good communication and presentation skills, willing to learn and adapt to new technologies


Diana Padilla

Summary

Overview

Work History

Sr. Data Scientist

Data Scientist

Operations Coordinator

IT Business Analyst

Education

Bachelor of Science - Mechatronics Engineering

Master of Science - Data Science

Skills

Timeline

Master of Science - Data Science

Sr. Data Scientist

Data Scientist

Operations Coordinator

IT Business Analyst

Bachelor of Science - Mechatronics Engineering

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