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Click here or scroll down to respond to this candidateCandidate's Name
Mortgage Loan Officer(licensed FINRA), Realtor, Data AnalystEMAIL AVAILABLE 954-773-6059 Miami, USA LINKEDIN LINK AVAILABLE github.com/Prilll Portfolio Project: http://quantroof.com/ ProfileData Analyst with 2+ years of hands-on experience in analysis, statistical modelling & machine learning in real-estate domain. Digital Maarketing ExpertEducation2013 Georgia Institute of Technology,Bachelor of Science, Computer ScienceAttended for 3.5 years.Atlanta,GA, USA2022 Tech I.S., PGP: Data Science Bootcamp USAProfessional Experience2016 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.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 FinancialContacted 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. SkillsPython, NumPy, Pandas, Matplotlib, Seaborn Scikit-learn, NLTK, TensorFlow, Keras Statistical Modelling, Predictive Modelling Database: MySQL, SQL server NLP, Computer Vision Classification Analysis, Regression Analysis EMAIL AVAILABLE 1 / 2FL Health and Life and Annuity (incl. Var. Contracts) Agent (0215) Projects2022 Financial Indicators, Time Series AnalysisProject 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 AnalysisProject Objective: The classification goal was to develop a classification algorithm to predict customer churn rate in a telecommunications domain. 2022 Boston Housing Prediction, Regression AnalysisProject Objective: The Regression goal was to develop regression model for predicting housing prices in Boston based on important key features. EMAIL AVAILABLE 2 / 2 |
