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Zhoubin Maneshi

Zhoubin Maneshi

Certified

Data Analytics Consultant

Freelancer | Germany

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Problem-solving virtuoso, decoding complexity with a data-driven approach.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

My Certifications

These are the industry credentials that I’ve earned.

Data Engineer Associate

Data Engineer Associate

Data Analyst

Data Analyst

AI Engineer for Data Scientists Associate

AI Engineer for Data Scientists Associate

Python Data Associate

Python Data Associate

Data Scientist Associate

Data Scientist Associate

Data Analyst Associate

Data Analyst Associate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate Python
Intermediate SQL

My Work Experience

Where I've interned and worked during my career.

Chefly | Nov 2020 - Dec 2022

Customer Service Business Analyst

• Business subject matter expert of customer interaction projects and tools • Reporting for customer services to improve service levels • Supporting customer service experience including the look and feel of interaction tools • Department process improvement, delivering strategic initiatives and improve customer service systems, tools, and interfaces • Coordinating issue resolution with vendors and/or cross-functional teams • Providing timely and thorough communication regarding issue status/ resolution with end-users and other key stakeholders
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Freelance | Nov 2019 - Oct 2020

Data Analytics Consultant

• Airbus Ship Detection Challenge - Built a model to detect ships in satellite images by leveraging a sophisticated object-recognition algorithm and implementation using "scipy" and "scikit- image" packages in Python. The outcome improved the speed of detection by 12% while preserving the accuracy. • Geometric Feature Analysis - Developed a Python script for geometric feature analysis of 3D objects using finite element voxelization which improved the accuracy of finding the minimum thickness of 3 objects and helped the accuracy of cut by 15% in a high-precision laser cut industry project. • Numerical Simulation of Nonlinear Dynamical Systems - Developed a handful of scripts in MATLAB and Python to simulate and visualize some intricate dynamical systems. These systems exhibit fractal structures and macro-scale properties such as scale invariance and low- dimensionality.

Anvo-Systems Dresden GmbH | Apr 2019 - Oct 2019

Test Engineer

• Performed sequential testing of non-volatile memory chips during the qualification process • Worked with the "Test Automation Software" written in C++ and performed various tasks such as implementing control parameters related to the digital logic, monitoring the test process, and signal processing post measurement • Developed Python scripts for statistical analysis to reach the target efficiency during the manufacturing process

Institute of Environmental Physics (IUP) | Aug 2018 - Mar 2019

Scientific Programmer

• Collaborated on the current bubble clouds formation studies • Proposed a new mathematical model for the exchange of gases between ocean and atmosphere

Center for European Economic Research (ZEW) | Oct 2017 - Jul 2018

Programmer and Statistical Data Analyst

• Collaborated with a team of statisticians to study business characteristic models • Performed time-series analysis and statistical prediction of market fluctuation, risk optimization, and strategic planning • Developed SQL scripts for communicating with the database network drive • Learned the essential skills needed in data science • Analyzed well-known models in mathematical finance and developed a novel idea for improving a time-series analysis

University of Heidelberg | Apr 2017 - Sep 2017

Contract Programmer

• Collaborated with a research group at the department of neurobiology • Performed numerical analysis for a novel chemical model characterizing post-stimulus CNS response • Learned about the exciting field of neuroscience and proposed a numerical solution which models intricate neurobiological chemical reactions

University of Heidelberg | Apr 2016 - Apr 2017

Teaching Assistant

• Conducted tutorial classes and revised term papers for M.Sc. students at the department of physics and astronomy for the summer course “Advanced Statistical Mechanics” and winter course “Nonlinear Dynamics”

University of Heidelberg | Sep 2015 - Mar 2016

Contract Programmer

• Assisted a team of molecular biochemists for determining the role of an enzyme in gene sequencing • Developed several useful scripts in MATLAB featuring and implementing the genetic algorithm toolbox

Max Planck Institute for Medical Research | Feb 2015 - Aug 2015

Scientific Assistant

• Worked with the software “Computer-aided Neuronal Tracing” and developed scripts in MATLAB for 3D image processing capable of multi-layer noise filtering, sagittal image stacking, and querying the processed images to database network drive for the use of medical researchers

My Education

Take a look at my formal education

Master of Science - MS, Theoretical and Mathematical Physics  · (AprilHeidelberg University | 2017
Bachelor's degree, Theoretical and Mathematical PhysicsShiraz University | 2012

About Me

Zhoubin Maneshi

I am an enthusiastic applied physicist with 5+ years of experience in scientific project management, computational modeling, and programming. I am fast learner, hardworking, and team player. I strive to excel in challenging projects.

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