Data Scientist CV Sample

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Victor Lauren

Data scientist

Summary

A highly competent data scientist with five years of experience developing a wide range of innovative applications like Credit Card Fraud Detection, Stock Sentiment Analysis Model, and Customer support system.

Ability to use (data) statistics and machine learning for finding complex data patterns that drive meaningful impact on the business.

I am looking for the opportunity to build a challenging career and apply my skills in an innovative and simplify  process. I enjoy working in a team and communicating data-driven results.

Skills

  • Python & R
  • NLTK & OpenCV
  • SQL & SAS
  • SPSS & STATA
  • PowerBI & Spotfire

Work Experience

Data Scientist

Info Tech Solutions – New York

Present

  • To predict house prices using time series analysis and neural networks
  • Identify factors that predict which employees will have the best performance and which will benefit from a change in their job position using machine learning.
  • Designed the information architecture and model of an organization’s assets
  • Coordinated with the stakeholders on project progress. 
  • Involved in the continuous enhancements and finding the best solution.

Data Scientist Consultant

JP Morgan Asset Management – Florida

Sep 2018

  • Predictiing the Stock price using sentiment analysis model.
  • Finding the stock market daily patterns and creating a meaningful solution to the business.
  • Identifing the Mulit bagger stocks using machine learning and AI

Education

Master of Computer Application

San Jose State University

Sep 2018


Bachelor of Computer Science

Northeastern University

Sep 2017


Project

Stock Price Prediction

JP Morgan Asset Management – Florida

Sep 2016

Use the Sentiment Analysis Algorithms to understand the stock sentiments. 

Project: Twitter Sentiment Analysis 

Tools: NLTK, Python 

Algorithms: Sentiment Analysis

Stock Recommender Systems

JP Morgan Asset Management – Florida

Aug 2015

Recommender systems have become the most popular feature of the stock market. We have developed a artificial intelegint stock recommender tool using the Deep Neural Networks and classification algorithms 

Tools: Python, sklearn

Algorithms: Deep Neural Networks, classification algorithms

Customer Support System

Data Scientist

May 2016

Customer support has become a challenging job for every business. We build a “customer support system” to address and support the needs of the customers. 

Tools: OpenCV, Python 

Algorithms: Convolution Neural Network and other facial detection algorithms

Languages

  • English
  • French
  • Arabic
  • German

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