Firas Hamid
Data AnalystData Scientist
BQE Software
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly data driven Risk Analyst demonstrating my grit with regressive analytics and decision making while working at Amazon.Skilled in Python, JavaScript and Tableau.Diverse professional skills with a B.Tech focused in Computer Science And Engineering .
Punjab Technical University
B.Tech , Computer Science And Engineering
N/A – Present
Middlesex University Dubai
Master of Science - MS, Data Science
N/A – Present
BQE Software
Data Scientist
January 1, 2025 – Present
Remote
Vici Energy
Business Intellignce Analyst - Oil & Gas
December 1, 2023 – December 1, 2024
Dubai, United Arab Emirates · Hybrid
Kaplan
Data Scientist (Trainer)
June 1, 2021 – July 1, 2022
Riyadh, Saudi Arabia · Hybrid
Earth One Technology
Project Analyst
May 1, 2020 – November 1, 2020
Dubai, United Arab Emirates · On-site
Amazon
Risk Analyst
September 1, 2018 – September 1, 2019
Bangalore
Yarikul Infotech
Web Developer intern
January 1, 2018 – May 1, 2018
Srinagar,J&k · On-site
SenseGrow Inc.
Web Developer intern
June 1, 2016 – July 1, 2016
Gurgaon, India · On-site
Python Automation and Testing
June 25, 2026 – Present
Critical Thinking
June 25, 2026 – Present
GDPR Compliance: Essential Training
June 25, 2026 – Present
Shane Snow on Storytelling
June 25, 2026 – Present
DeepLearning.Ai Tensorflow Developer
Coursera
June 25, 2026 – Present
The Data Science Toolbox
Coursera
June 25, 2026 – Present
C++
IIT BOMBAY
June 25, 2026 – Present
Storytelling for Designers
June 25, 2026 – Present
Power BI Essential Training
June 25, 2026 – Present
Tableau Essential Training
June 25, 2026 – Present
Google Digital
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning data science, business intelligence, risk analysis, and even web development. This breadth of experience, coupled with roles in different industries (Oil & Gas, Education, E-commerce), suggests adaptability and a willingness to learn new domains. The Master's degree in Data Science further reinforces a commitment to the field. However, the lack of specific project details makes it difficult to fully assess collaboration style or initiative beyond what is stated in job descriptions.
Soft Skills & Operational Fit
The candidate's experience as a Data Scientist (Trainer) at Kaplan suggests strong communication and pedagogical skills, which are beneficial for explaining complex data insights. Roles at Amazon and Earth One Technology indicate problem-solving abilities and client interaction. The descriptions, while brief, suggest an operational fit for roles requiring data interpretation and presentation.