Data Scientist Compyter vision
I am passionate about data analytics, strategy and operations, interested in achieving results in automating routine tasks and processes.
I am ready to develop quickly and effectively myself and to benefit the company and the team, I am ready to take responsibility for the result.
I am able to manage my time, workflow, result-oriented, have flexible and critical thinking, ability to learn, listen to other people's opinions and do not hesitate to express my own.
I am ready to develop quickly and effectively myself and to benefit the company and the team, I am ready to take responsibility for the result.
I am able to manage my time, workflow, result-oriented, have flexible and critical thinking, ability to learn, listen to other people's opinions and do not hesitate to express my own.
Roman Medvedev
- I have a background in computer science and mathematics with a focus on machine learning and computer vision.
- Proficiency in programming languages commonly used in data science, such as Python and C++.
- Familiarity with popular deep learning frameworks such as TensorFlow and PyTorch.
- Ability to design and implement machine learning models for image recognition, object detection, and image segmentation.
- Analytical mindset and ability to interpret and communicate results from analyzing complex data.
- Basic knowledge of working with large datasets and data preprocessing techniques.
- Good understanding of statistical concepts and machine learning techniques.
- Strong communication skills and ability to work in a team environment.
Professional skills
Python
Automate work with large arrays, obtain data from external sources, and justify conclusions drawn from data analysis
PostgreSQL
Write queries, work with data in the database without transferring to tables, load data and save history, work with different file formats
NumPy
Pandas
Data processing and analysis
Scikit-learn
For basic algorithms
Pytorch
A deep learning library for solving computer vision and NLP problems
Tensorflow
An open source machine learning software library developed by Google to address the challenges of building and training a neural network
Multilayer
and
Convolutional networks
and
Convolutional networks
I use a zoo of neural networks
С++
Improving the performance of complex neural networks in conjunction with software
GitHub
Docker
Experience
PET Project
Сreated a telegram bot with plug-ins. Developed a model based on a convolutional network for handwritten digit recognition. I connected two models from Open AI: Chat-GPT and DALL·E. Developed a user menu for managing modules.
GitHub
Graduate student Data Scientist в ООО "NETOLOGY-GROUPS"
I learned to check data for completeness, integrity, validity, noise, errors and omissions. build decision trees and logistic, linear and polynomial regression models.
Mastered machine vision - feature extraction, image search, segmentation, object detection.
Studied time series processing algorithms, ARIMA and GARCH models, Markov models for time series.
I mastered morphological and syntactic analysis, distributive semantics and information retrieval, learned to reduce dimensionality in vector model, classification, information extraction and text generation.
Pumped up my level of mathematical statistics and probability theory.
Learned how to conduct A/B tests.
Mastered machine vision - feature extraction, image search, segmentation, object detection.
Studied time series processing algorithms, ARIMA and GARCH models, Markov models for time series.
I mastered morphological and syntactic analysis, distributive semantics and information retrieval, learned to reduce dimensionality in vector model, classification, information extraction and text generation.
Pumped up my level of mathematical statistics and probability theory.
Learned how to conduct A/B tests.
Civil Engineering Design Engineer in SM-project
I model the design schemes of buildings and structures by the finite element method (FEM). I make constructive decisions based on the analysis of the model.
Participated in the creation of the BIM modeling design standard. I have gained experience working together (as a team) in Revit.
I was engaged in building a workflow in Revit and optimizing routine tasks (creating model family blocks, setting up a template for design, etc.). I wrote scripts in Dynamo. I created a dashboard to account for the number of operations performed during modeling, due to this, the time of repetitive operations was reduced by 45%.
I am responsible for meeting the deadlines of the team, delegate tasks, work with the customer's department.
Participated in the creation of the BIM modeling design standard. I have gained experience working together (as a team) in Revit.
I was engaged in building a workflow in Revit and optimizing routine tasks (creating model family blocks, setting up a template for design, etc.). I wrote scripts in Dynamo. I created a dashboard to account for the number of operations performed during modeling, due to this, the time of repetitive operations was reduced by 45%.
I am responsible for meeting the deadlines of the team, delegate tasks, work with the customer's department.
Education
St. Petersburg State Polytechnic University
Faculty of Civil Engineering, Civil engineering and applied ecology
St. Petersburg Polytechnic University of Peter the Great
Faculty of Civil Engineering, Civil engineering and applied ecology
Portfolio
Biography
The Path to Data Science
I was born and grew up in the city of Astrakhan. Since childhood, I have been into DIY and playing the piano. After graduating from school, I entered St. Petersburg Peter the Great Polytechnic University. After successfully graduating from the university he went to work in his specialty. I became interested in modern design methods with an emphasis on programming. I like to analyze data and apply them in life. I decided to undergo professional retraining as a Data Scientist. The courses helped me to broaden my understanding of the profession. I was interested in the field of computer vision and training neural models without a teacher. After taking the course, I continue to explore the vast world of Data Science on my own.
E-mail: medvedev.daff@gmail.com
