Yesenia A.

Data Scientist

175 dollar
Freelancer
5 ans
Mexico City, MEXIQUE

Mon expérience

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Amiga LoveAugust 2019 - February 2020

* Data Science: Integrated gender/image recognition pre-trained models from Caffe(deep learning framework). Sentiment Analysis with VADER. Deployed as a Python Flask web service installed over docker swarm.
* Web development: Designed the UI/UX of the sales funnel and application from scratch using Angular & D3.
* Marketing: A/B testing of campaigns using Google Optimize, Google Analytics & Facebook Ads.

* Braids Social Marketing
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Braids Social MarketingJuly 2018 - July 2019

Braids Social Marketing is a complex system that helps companies and influencers to maximize exposure on Instagram. Braids explode your brand interacting with thousand of new persons every day.

With Braids, you can configure how to interact with people using locations, hashtags or your competition.

Braids reach from 4% to 25% of conversion rate depending on the configuration and quality of your channel. It's a good deal for brands that need to reach new persons every day.

◦ Data Science: Integrated object detection & face analysis as part of an algorithm running nodejs in a docker container.
◦ Web development: UI/UX design of landing page and web application using Angular & chart.js
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InceptionFebruary 2018 - August 2018

* Portfolio Recommendations: Created models for portfolio hedging, portfolio optimization & price forecasting with Markowitz Theory.
* Daily Reports: Created daily automated reports based on stock market information with python & matplotlib.
* Data Collection: Automated the process of downloading stock market data from Yahoo Finance, FRED & interactive brokers with python in a multithreaded environment.
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QuantumFebruary 2018 - July 2018

◦ Portfolio Recommendations: Created models for portfolio hedging, portfolio optimization & price forecasting with Markowitz Theory.
◦ Daily Reports: Created daily automated reports based on stock market information with python & matplotlib.
◦ Data Collection: Automated the process of downloading stock market data from Yahoo Finance, FRED & interactive brokers with python in a multithreaded environment.
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RICH ITMay 2016 - February 2018

◦ Adaptative Testing: Implemented & optimized functions in R server for a massive computerized adaptive test using Bayesian Estimation & Maximum Likelihood.
◦ Forecasting: Implemented price forecasting for petroliferous & petroleum liquid gas using pySpark.
◦ Product2vec: Implemented product matching in retail stores by fitting word2vec model.
◦ Real Estate forecast and MBA: Implemented price forecasting for real estate with data scrapping & Market Basket Analysis for business locals recommendations.
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SASJuly 2014 - May 2016

◦ Risk detection models: Created a fraud detection system for the Mexican customs with exhaustive data cleaning, data quality, data transformation, best subset selection & modeling.
◦ Foreign trade complete dashboard: Visualized Mexican foreign trade metrics with html, css & javascript.

Mes compétences

Frameworks

jQuery, Angular, D3.js, Node.js, AngularJS

Big Data

Spark

Databases

MongoDB, NoSQL

Languages

TypeScript, JavaScript, SQL

Analysis methods and tools

SciLab

Technologies

Web development, Amazon Web Services (AWS), Firebase, Machine Learning

IT Infrastructure

Azure, Git, Linux

Business Intelligence

SAS

Other

subset selection, Apple MacOS, Sentiment Analysis, industry~it, Co-Founder, DeepLearning, S3, Microsoft Windows, Developer, Web Application Development, Rstudio, senior data scientist, Python Programming, B Testing, Data Collection, SAS System > SAS Statistical Package, Data Scientist, Analytics Consultant, face analysis, Adaptative Testing, Data Cleansing, Basket Analysis, statistical analysis

Others

GitHub, Spanish

Mes études et formations

- Licenses & Certifications

Bachelor of Actuarial Science - Faculty of Sciences2012 - 2016