Summary
Overview
Work History
Education
Skills
Timeline
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Amir Ashrafi

San Diego,CA

Summary

Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.

Overview

7
7
years of professional experience

Work History

Data Scientist | Marketing Analysis & Optimization

QuiGig Inc
08.2022 - Current
  • Analyzed Google and Facebook data using advanced statistical techniques, boosting lead generation and cost-effectiveness.
  • Led a team optimizing ad campaigns, enhancing customer engagement, and achieving a 35% CPA reduction and 47% landing page growth.
  • Utilized customer insights for precise Google Ads refinement, improving search terms, ad text, and landing page content.
  • Automated newsletters and emails for better customer acquisition and retention.
  • Collaborated on campaign materials and managed marketing data.
  • Developed and maintained Data Infrastructure pipelines, integrating Google ads and Facebook data for AWS analysis.
  • Created real-time KPI dashboard with operations and IT, accelerating deliveries by 4.2 days.
  • Engineered predictive model merging Google Ad and Facebook Ad data, leading to opening of three new branches.

Research Assistant | ML and Data Analysis

University of Virginia
08.2018 - 04.2022
  • Applied machine learning to develop HCI and material sensing using Kinect.
  • Designed seamless physical-virtual connections for function overlay on objects.
  • Created an AR app for accurate indoor 3D localization, utilizing deep learning.
  • Engineered real-time data automation with REST API, following MVC principles.
  • Constructed CNN model for indoor localization (93% accuracy) from 3D point cloud data.

Database Analyst intern

Central Insurance of Iran
06.2017 - 09.2017
  • Designed Entity-Relationship model for transportation insurance, implementing it in MySQL database. Remodeled policies, cutting query latency by 20%, and achieved 20% reduction in data query latency during claims data testing.

Software Engineer Intern

Fanap Telecom
06.2016 - 09.2016
  • Created a Java-based Telegram chatbot for CRM, featuring decision tree-driven interactions, user account connectivity, and MySQL integration.

Education

Master of Science - Systems Engineering

University of Virginia
Charlottesville, VA
08.2021

Bachelor of Science - Information Technology Engineering

Sharif University of Technology
Tehran, Iran
01.2018

Skills

  • Programming Languages: Python, C/C, Java, MATLAB, R
  • SQL Databases: IBM DB2, MySQL, SQL Server
  • Machine Learning Libraries: PyTorch, TensorFlow, Scikit-learn
  • Data Manipulation: Pandas, SciPy
  • Data Visualization: Dash, Jupyter
  • Computer Vision: Open3D, OpenCV
  • Version Control: Git

Timeline

Data Scientist | Marketing Analysis & Optimization

QuiGig Inc
08.2022 - Current

Research Assistant | ML and Data Analysis

University of Virginia
08.2018 - 04.2022

Database Analyst intern

Central Insurance of Iran
06.2017 - 09.2017

Software Engineer Intern

Fanap Telecom
06.2016 - 09.2016

Master of Science - Systems Engineering

University of Virginia

Bachelor of Science - Information Technology Engineering

Sharif University of Technology
Amir Ashrafi