Alireza Talebizadeh

About Alireza Talebizadeh

Highly motivated and passionate Data Engineer with a focus on Machine Learning. My drive towards data engineering comes from my experience utilizing data to make decisions in various data science projects. As a technical support, I communicated highly technical concepts to a non-technical audience and I used this skill combined with analytical skills to gain insights on my projects. I am experienced in data wrangling, exploratory and statistical analysis, feature engineering, model selection and model evaluation. What sets me apart: Telling compelling stories in technical disciplines using a simplified approach. I’ve transitioned to the data science industry because I crave utilizing my statistics and programming expertise to offer actionable insights to real-world, business problems. I love to learn, which serves me well in the ever-evolving technological landscape of data science.Skills: Data Engineering, Data Mining, Databricks, PySpark, Python, R, SQL, Azure, Machine Learning (supervised and unsupervised), Data Wrangling, Exploratory Data Analysis, Feature Engineering, Data Visualization, Predictive Modeling, Time Series Analysis, Natural Language Processing, Classification, K-means clustering, K-nearest neighbors, Gradient Descent, PCA, ANOVA, Time-series Analysis, Excel, Microsoft Office, HTML, CSS.Please check out the links to some of my recent projects \"Water Pumps Functionality Prediction in Tanzania!\", “Austin Airbnb Price Prediction” and the collection of completed projects on github (https://github.com/atalebizadeh/My-Projects). I am open to having a conversation with anyone interested in hearing more about me or my project work. Please just send an email my way (a••••••••@gmail.com).

Experience

1. Data Engineer

   Giant Eagle, Inc.

   Feb 2022 — Present

   Translate end-customer campaign brief into technical solutions and dataflows within Giant Eagle’s MarTech infrastructure.• Clean, transform, and aggregate data to feed campaigns that Marketing can easily use for analysis and campaign execution.• Implement scalable dataflows from multiple systems into and out of data lake and customer data platform in support of customer marketing campaigns (e.g, events-driven campaigns, personalized modules, etc.).• Work concurrently on multiple campaigns and projects driving accuracy through all phases of the development lifecycle.• Move, enhance, govern, and enrich data from Customer Data Platform for use across cross-channel marketing campaigns and analytics.• Work collaboratively with IT teams, eCommerce teams, analytics teams, and business leaders to ensure actionable is provided key stakeholders.

Education

• University at Buffalo

  Bachelor of Science (BS), Computer Information Systems

  2012 — 2014

• Springboard

  Data Science Certification

• Bryant & Stratton College

  Associate's degree, IT

  2008 — 2009

Skills

• Windows Xp
• Networking
• Teachers
• Customer Service
• Research
• Printers
• Public Speaking
• System Administration
• Sql
• Network Administration
• Servers
• Computer Hardware
• Outlook
• Teaching
• Visual Basic
• Microsoft Word
• Change Management
• Windows Server
• Hardware
• Problem Solving
• Technical Support
• Microsoft Office
• Html
• Software Installation
• Powerpoint
• Microsoft Excel
• Windows 7
• Troubleshooting
• Social Media
• Editing
• Higher Education
• Access
• Windows