Summary
Overview
Work History
Education
Skills
Linkedin Profile
Certification
Timeline
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Parham Dehghani

Montreal,Canada

Summary

Particle physics Ph.D. with a strong background in data science, coding, and scientific research. Proficient in utilizing data analysis techniques to extract insights from complex datasets. Skilled in programming with a focus on Python, and experienced in problem-solving for computationally intensive tasks. Adept at applying advanced statistical methods and mathematical modeling to drive innovative solutions. Proven ability to bridge the gap between theoretical concepts and practical implementations. Seeking opportunities to leverage expertise in data-driven problem-solving and contribute to impactful projects.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data Science Expert

Scale AI
San Francisco
08.2023 - Current
  • Fine-tune state-of-the-art Google Gemini in data science-related matters including code generation, big data, algorithms, time complexity, deployment, database, version control, etc
  • Design challenging code-based prompts relevant to data science and machine learning for improving the efficiency of Gemini
  • Provide the ideal responses that replace Gemini response in data science and ML-related queries

Machine Learning Agent

TELUS International AI Data Solutions
San Francisco, QC
04.2022 - Current
  • Collaborate with Google LLC for NLP data annotation to improve the accuracy of the search engine.

Research Assistant

Concordia University
Montreal
09.2020 - 07.2024
  • Collaborated with researchers in the field of low-energy BSM and provide publications and presentations regarding scientific research at conferences

Education

Data Science Nanodegree Program -

Udacity
05.2023

Ph.D. Inter-university program in Particle Physics -

McGill University
06.2021

Ph.D. in Particle Physics -

Concordia University

Skills

  • Machine Learning
  • Data Science Libraries
  • Data Visualization
  • Flask
  • SQL and Databases
  • AWS
  • Python
  • Object-Oriented Programming
  • RESTful APIs
  • Cluster Computation
  • Particle Physics
  • Git
  • Unit Testing
  • Algorithms and Data Structures
  • Frontend Languages

Linkedin Profile

http://linkedin.com/in/parham-dehghani

Certification

  • AWS Cloud Technical Essentials - Amazon Web Services (AWS)
  • Analyze Datasets and Train ML Models using AutoML - AWS
  • Build, Train, and Deploy ML Pipelines using BERT - AWS
  • Introduction to GPU Programming with Python - Calcul Québec
  • Massive data analysis with Spark - Calcul Québec

Timeline

Data Science Expert

Scale AI
08.2023 - Current

Machine Learning Agent

TELUS International AI Data Solutions
04.2022 - Current

Research Assistant

Concordia University
09.2020 - 07.2024

Data Science Nanodegree Program -

Udacity

Ph.D. Inter-university program in Particle Physics -

McGill University

Ph.D. in Particle Physics -

Concordia University

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Parham Dehghani