Data Analyst Mortgage Loan

Andres Perilla

Mortgage Loan Officer(licensed FINRA), Realtor, Data Analyst

***********@*****.*** 954-***-**** Miami, USA linkedin.com/in/hernan-perilla github.com/Prilll Portfolio Project: http://quantroof.com/ Profile

Data Analyst with 2+ years of hands-on experience in analysis, statistical modelling & machine learning in real-estate domain. Digital Maarketing Expert

Education

2013 Georgia Institute of Technology,

Bachelor of Science, Computer Science

Attended for 3.5 years.

Atlanta,GA, USA

2022 Tech I.S., PGP: Data Science Bootcamp USA

Professional Experience

2016 – present Realtor Analyst, EXP REALTY AND MORTGAGE LOAN OFFICER (LICENSED) Successfully closed 100+ real estate transactions, totalling sales and mortgage exceeding $20 •million since 2017.

Utilized comprehensive market knowledge to identify profitable investment • opportunities and leveraged analyst skills and industry platforms to enhance marketing efforts and streamline routines.

Expert in asset flipping.

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2014 – 2016 Marketing & Sales Director, Q Wireless (Sales)

•Series 3 Licensed Commodities Broker demonstrating strong sales and customer service skills.

•Monitored market trends and news to develop and execute sales strategies for generating new business and expand client base.

2006 – 2014 Commodities Broker, Barkley Financial

•Contacted a high volume of prospects daily, consistently making over 150+ calls per day, successfully met and exceeded sales targets.

•Utilised CRM software to manage and follow up with leads and clients. Skills

Python, NumPy, Pandas, Matplotlib, Seaborn Scikit-learn, NLTK, TensorFlow, Keras Statistical Modelling, Predictive Modelling Database: MySQL, SQL server NLP, Computer Vision Classification Analysis, Regression Analysis ***********@*****.*** 1 / 2

FL Health and Life and Annuity (incl. Var. Contracts) Agent (0215) Projects

2022 Financial Indicators, Time Series Analysis

•Project Objective: The goal was to leverage historical market data and utilise these indicators to forecast market behaviour over a specified time horizon using time series analysis model.

2022 Telecommunication Customer Churn, Classification Analysis

•Project Objective: The classification goal was to develop a classification algorithm to predict customer churn rate in a telecommunications domain. 2022 Boston Housing Prediction, Regression Analysis

•Project Objective: The Regression goal was to develop regression model for predicting housing prices in Boston based on important key features. ***********@*****.*** 2 / 2

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