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Data Scientist | DU Data Science Master’s Program Student Ambassador | Blogger

If I can, you can too! 6 points that will help you break into the industry.

If you are an aspiring data scientist and your goal is to land your first ever data science internship, then I encourage you to continue reading. This article will discuss what helped me get my first data science internship and what it really takes to break into the industry. I am currently a data science intern and will graduate with my master’s degree at the end of the summer. Before I decided to pursue a master’s, I worked in sports analytics for 4 years. First of all, we all come from different backgrounds, so there is no perfect formula. Whether…


Tips for your first-ever Data Science portfolio.

Having a portfolio is highly recommended for every inspired data scientist. Branding yourself is an important aspect when it comes to showcasing your talent to the world. At the end of the day prospective employers want to see what you are capable of creating and see if you are up for the job. In this article, I am going to cover the most important points you need to cover in your portfolio website.

The How

First of all, you have two options on how to create your portfolio.

  1. Create your website using one of many platforms out there such as Wix, Squarespace…


Executive Summary:

On March 11, 2020 the World Health Organization (WHO) declared the novel coronavirus (Covid19) outbreak as a global pandemic. In this paper, a time series analysis to predict the number of deaths in the United States starting from August 1st — August 21st and August 1st — November 1st is modeled and studied. The time series model that was selected to make the prediction is called Auto Regressive Integrated Moving Average (ARIMA) model.

The paper is divided into the following sections:

  1. Why & What is Time Series Analysis
  2. When we can’t use Time Series Analysis
  3. Components of Time Series Analysis


A tutorial on how to use SparkML to make predictions on streaming data using PySpark

Objective:

In this article, I am going over an example of how we can use Spark ML to make predictions on streaming data. Note we won’t focus on comparing different models and tuning the model. The main focus will be on how we can incorporate Spark Streaming to make predictions using databricks. In addition to that, you should have some basic knowledge of how to use Spark ML. If Spark ML is new to you, check out the video below.

For this example, we will predict whether someone will get a heart attack based on their age, gender, and medical…


Let the Data and Visuals Do the Talking — A Streamlit Web App

Did you ever want to share your project with anyone in the world in just a few hours and not weeks? If so, then you are at the right place here. This article will take you through how I created my own COVID-19 dashboard by using Streamlit. Streamlit allows you to create custom web applications for machine learning and data science in a simple way. Below is the link to my app:

https://share.streamlit.io/navido89/covid19-dashboard-dataviz/app.py

Objective:

First, to better understand my project, I will take you through what I tried to accomplish. The purpose of this project was to have a look at…


The ultimate guide on how to host your Streamlit app on Heroku.

Welcome to the step-by-step tutorial on how to deploy your Streamlit app to Heroku. For the past two weeks, I have been working with Streamlit, and I was very impressed with its capabilities. It’s ideal for sharing your data science project with the world since it’s very straightforward. In this tutorial, I assume you have already completed your app and you are at the final stage of deploying your project. Based on my experiences from the past two weeks, you would think you can immediately deploy your project using Streamlit Sharing. However, you need to apply for the functionality, and…


The purpose of this tutorial is to take your Foilium skills to the next level. In this article, we will create a more advanced Choroplet map than usual. We will add customized functionalities to add a draggable legend, hover functionalities, and cross-hatching (crossing lines). If you would like to learn those skills, I highly recommend going over each step on your own with a sample dataset. You will learn tools that you can implement in your own projects and impress your boss or client. Some of the functionalities took me hours of research, and I thought it would be a…


Objective:

In this analysis, the goal was to examine the current state of Analytics in Major League Soccer (MLS). How do clubs structure their analytics department, and what kind of positions entail data-related tasks. The majority of MLS franchises follow the culture of being data-driven decision-makers on the club’s business side. However, there has also been a tremendous rise of clubs using data in their decision-making regarding the sporting side. The focus of this report lies from the soccer operations perspective. With over four years of analytics experience within the MLS, I wanted to analyze the current state of analytics within…


Be a data-driven job seeker

Objective:

The goal was to examine the current data science job market in California. Which city has the most job posts in CA and offers more opportunities? As a current Data Science Master’s student, I wanted to find out which jobs a master’s degree holder would be eligible to apply for and what skills are most in-demand. Based on my findings from the data that I have collected, I have conducted an Exploratory Data Analysis (EDA) to investigate California's market.

Methods:


Abstract:

Background: Fatal shootings by police as a topic is heavy in the news. For several years before the current interest in shootings, they’ve been on a small rise. But more importantly, the change seems relatively so small compared to the increasingly disproportionate attention it receives.

Navid Mashinchi

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