lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Python Developer, Data Analyst
Category: Python
Experience: 1 years | English: upper

- Implemented a promo campaign for the Ukrainian investment project that in several years in synergy with other marketing efforts has brought more than $15 mln and more than 1500 investors.
- As a digital consultant to one project managed to create a digital ecosystem consisting of Google and Meta ad accounts, and aggregated audiences with a possibility for sharing these audiences in crosstarget campaigns.
- Prepare biannual research on the Ukrainian audience on Facebook and Instagram.
I have one year of practical experience as a Python Developer and Data Analyst and over 6 years of experience as a Digital Marketing Specialist. 

I build web applications and RESTful APIs using Django and Django REST Framework. I use PostgreSQL, Git, and Docker. I also have experience in Flask and FastAPI. In my projects, I worked with Telegram Bot API, Stripe API, and also with Django Q and Celery task frameworks.

I am passionate about data analysis, and my Pandas, Matplotlib, and SQL knowledge enable me to query and manipulate data effectively to extract valuable insights. 

My background in digital marketing and web analytics provides me with a holistic view of the entire digital marketing ecosystem. With my Upper Intermediate English proficiency, I can communicate effectively with clients and colleagues from diverse backgrounds.
Position: Python Developer/Data Analyst
Category: Python
Experience: 5 years | English: fluent


Hello!
I'm looking for a full-time/part-time remote job.

I'm a data analyst/python developer with over 3 years of experience. I was involved in a number of  projects (edu-tech, sales, etc) where I was in charge of exploratory data analytics and building some ml models.
I am not interested in working in financial/insurance/gambling industry.
Position: Python Developer/Data Analyst
Category: Python
Experience: 1 years | English: fluent


Python Developer - 1 yr
ETL project for a business development company. Integration of new data sources into the pipeline, feature extension and maintenance, creation of helper scripts.
Tech stack: Python, Git, Google Cloud Platform, BigQuery, Firestore, PostgreSQL, Jira

Team Lead (Web Scraping) - 1 yr
Development of tools to optimize team workload, data quality control and seeing through
swift rollouts of new data sources, ensuring strategic adaptability.
Tech stack: Python, Git, Heroku, Jira, MySQL

Data Analyst - 10 mos
Enhancement and operation of automated real estate data scraping solutions. Data
preparation for machine learning and business intelligence.
Tech stack: Python, MySQL, Looker, Trello
Position: Python Developer/Data Analyst
Category: Python
Experience: 0 years | English: 

- Bachelor Thesis in the area of Bioinformatics(machine learning), in progress
- JSON serializer Flume -> Hbase(Java, Hadoop)
- Site parsing(Scrapy), software deployment automation(Fabric)
- Firefox add-on as socket.io client, server Node.js + Redis + MongoDB
- Olympiad prize-winner(physics, mathematics, informatics)
Python, Machine Learning, Data Analysis, Linux,
Numpy, Scipy, Matplotlib, Sklearn, Pandas,
Git, Vagrant, Virtual Box, Jenkins, TDD, Selenium
English - upper intermediate.
Difficult projects with an emphasis on intellectual challenges.
Ability to learn new interesting technologies.
Data analysis, statistics, machine learning.
Creative and smart team.
Flexible work schedule.
Position: Python Developer / Data Analytics specialist
Category: Python
Experience: 1 years | English: fluent


Hi! I am interested in building interesting python  / data science / data analytics projects and I'm passionate about discovering new fields to develop my skills!

My last study projects are:
Optical Character Recognition in Python (creating a text on image recognition app and a feature to expand the database with handwritten text, so using machine learning, the program can decrypt handwritten texts)

Optimisation of Lviv Transport System
I was a part of team performing algorithmic analysis on graphs builded on transport traffic data (big data) for Lviv City Government. Most of my responsibilities were on data visualisation, dealing with GoogleMapsAPI and big data analysis.

Stationery Market Analysis
Econometric analysis of one of the leading stationery companies in Ukraine, statistical modelling

RecogNice - face recognition system
Me and my team developed a face recognition system for testing face flexibility and people search on photos as a part of my Linear Algebra course. (you can see results on my GitHub)
Position: Python Developer/Database Architect
Category: Python
Experience: 0 years | English: intermediate

Great experience in 1c:ERP development. 
Can understand what user really wants and do it.
10+ years of 1C:Enterprise 8+1C:Enterprise 7.7+SQL database development. I want to switch programming language to python and growth as fullstack python developer.
development and creating
Position: Python developer/Data engineer
Category: Python
Experience: 10 years | English: upper

Developed Android client for Python based application.
Developed several integrations using SOAP, XML-RPC.
Implemented and configured task tracking process.
Automated development process with internal tools including Slack bot.
Developer REST API from scratch.
Developed scraping scheduling and data post-processing from scratch.
Switched LDAP client libraries with integrations.
Migrated an old REST API to the newer with FastAPI.
Developed several integrations with external APIs (Domo, Marketo, Hubspot, etc)
Developed ETL pipeline on AWS from scratch with terabytes of data in Redshift. Managed Redshift cluster.
I have 10+ years of commercial development using Python, Projects I was working on relates to the different areas:  network/security, ERP, ETL, and Data processing. I prefer using the standard library to using modern external packages.
Resolving the issue with high quality in predefined terms means more than the desire to try modern technologies for me.
No Django development.
Position: Python developer / Data Engineer
Category: Python
Experience: 9 years | English: upper

Projects: 
Building Decision Making Systems from the ground up on Django (DRF , SQLALchemy, Pydantic, numpy, pandas) plus alternative solution developed demo on (Spark , Kafka) 
Building transactional history and  notifications clients for bank (Postgresql , Python , RabbitMQ)
Building reporting systems and dashboards infrastructure from the ground up on open source.
Took part deploying liveness solution on AWS
As an experienced backend developer, I have a strong background in Python (API integration data and ml models on DRF) .
SQL, and database programming (DBA , ETL jobs,  production decision making system and transactions) , as well as proficiency in RabbitMQ, Docker, and server administration. 

For the last few years worked building Big Data for banks in Ukraine as team/ tech leader of developers teams.
 
I am eager to leverage my skills to tackle challenging projects and contribute to the success of your team.
python development , devops , full stack
Position: Python Developer / Data Engineer
Category: Python
Experience: 9 years | English: intermediate


About 10 years of experience with Python and 3+ years as big data engineer.

Worked in different domains, including telecommunications, precise agriculture, mining and other.

Have some mentoring experience, limited DevOps, CI/CD, shell scripting. Worked with different clouds but more familiar with GCP.
Looking for python backend developer / data engineer role rather then leading position.

Don't want to work with odoo or front end.
Position: Python Developer/ Data Engineer
Category: Python
Experience: 5 years | English: upper


Data Engineer - NDA(June 2022 - nowadays)

Python Developer - SoftJourn (August 2021 - June 2022)
Working as Backend Engineer in analytical team. Working with AWS services

Python Intern – Luxoft (February 2021-August 2021). Work in Automotive Production team, which deals with compilation map. 
	Development of internal web and desktop applications for automation process of compilation map and other internal processes. (Web – Flask, Django, desktop – wxPython) 
	Preperation environment for compilation maps
	Support process of compilation
	Visual testing
	Report for the customer at the end of the iteration

Startup AllMemes at the Odessa I.I. Mechnikov National University, work within the KeepSolid  laboratoty (September 2020 – nowadays): AllMemes – social network, which specializes of classification images for  the convenience of users
	Database design and support (PorsgreSQL)
	Python backend (Django, Django Rest Framework)
	Development of parsers from Internet, other social networking (Python, work with outside API, requests, bs4)
	Development of neural networks for classification images (Python, Keras)

Freelance (September 2019 – nowadays):
	Web parsers (Python, requests, bs4)
	Telegram bots (Python, aiogram),
	Rest web application, backend (Flask, Django, Django Rest Framework, PostgreSQL, MySQL),
	Two games on UnrealEngine 4
Software Engineer - OPP (Odessa Port Plant) (July - September 2019):

	System programming (Python)
	Web and desktop application for automation work with database for admins (web – Django, Flask, desktop – C#, WinForms, database - MySql)
Position: Python Developer/ Data Engineer
Category: Python
Experience: 4 years | English: upper

First of all, I have improved an ETL processing backend using threading and generators that allowed my team to work with a lot bigger amount of data and to spend less time on already existent workflows using a new approach.
Second, as talking about hacks, changed Django Connections behaviour in order to make dynamic connections update possible in runtime and to exchange it via the cross-services connection.
Mostly worked with backend-part of web applications.
Implemented integrations with different services and API's (AWS Cognito, Salesforce instance, client-related API, and a lot more)
Taken part in developing and support of self-made ETL  service.
Implemented threaded approach to data-processing backend.
Worked on SQL scripts and procedures that were supposed to gather, transform or send data from one source to another.
Supported and modified AWS Glue workflows, with a bit of Terraform use.
Handled database modifications and schema tune-up.
As for now, I have a combined role of backend developer and a data engineer.
First of all, I want to increase my qualification as a data engineer.
Would be great, if it would be possible to take a part in ML projects and get expertise in that field.
The use of the multiprocessing or threading approach is a great possibility because I`m getting a lot of pleasure while working with that tools.
I have some basic experience with golang, so I`m interested in combining the python position with it.
To be honest, I`m pretty language-agnostic and looking to increase my expertise and understanding of other tools.
Also, I`m pretty okay with legacy code.
I'm not interested in doing routine work (e.g view adding) all the time, without any new challenges or the possibility to work on other project parts.
Position: Python Developer, Data Engineer, Data Scientist
Category: Python
Experience: 2 years | English: upper

For my training projects, I did telegram bots, did implementation of microservice architecture using REST API. Helping out my younger brother with developing of his snake game for android devices
I have a varied professional background. I started my career as an Automation QA Engineer, where I focused on automating backend tests for business. I also contributed to the development of APIs for testing purposes. Currently, I work as a Data Engineer, worked in few projects was responsible for maintaining and improving Data Warehouse. This involves using technologies like Drools, Azure, SQL Server, Azure DevOps, and MongoDB. Also for training purposes and improving technical expertise tried out PySpark and Hadoop

I also have an interest in data science and like staying informed about the latest developments in the field. I find working with complex datasets to extract meaningful insights intriguing. 

Furthermore, I'm proficient in utilizing tools like pandas and NumPy for efficient data handling, along with Matplotlib and Seaborn for creating visualizations. These skills allow me to bring value to the projects I'm involved in.
Position: Python Developer / Data Scientist
Category: Python
Experience: 0 years | English: upper


Junior Python Develover / Data Scientist with research experience. Specialization in astronomy naturally introduced me to data collecting and processing (especially of large data sets), while university program provided me with strong working knowledge in statistics. I am eager to start my professional career and gain first working experience.
Position: Python Developer / Data Scientist
Category: Python
Experience: 5 years | English: pre

Distributed backend for highload web app (framework for massive machine learning experiments) Used technologies/libraries/frameworks: Asyncio, Sckit-Learn, Dask, Pandas, PostregSQL, SQLAlchemy

Some web apps (as fullstack web developer). Used technologies/libraries/frameworks: Flask, Django, PostgreSQL, SQLAlchemy, Celery, JavaScript, JQurey

Building simply and complex web scrapers for gathering information from the web. Used technologies/libraries/frameworks: Scrapy, Python Requests, LXML, Pandas.

Image segmentation, object detection, 3d scenes reconstruction. Used technologies/libraries/frameworks:
Scipy, Skimages, PyTorch, Keras

Signal / time series processing. Used technologies: Scipy, Matplotlib, Keras, PyTorch.

Sentiment analysis. Used technologies: Bert

I also have the experience of scientific programming.
ML - data analysis and preprocessing. Building predictive and clustering models.
Deep learning (image classification, segmentation, etc...)
NLP (sentiment analysis)
Timeseries (predictive maintenance, failures prediction)

Web scraping.

Backend and fullstack Web development.

Highload distirbuted backend development
The ability to work remotely ( Currently I can only work remotely).

The ability to apply and improve my skills.

Working with people with more experience and knowledge than me, from whom I can learn something.

Preferable areas:

as Data Scientist - computer vision, signal processing.

as Python developer - web scraping, backend
Position: Python Developer, Data Scientist
Category: Python
Experience: 1 years | English: fluent


Built an ecommerce website using php
Designed a prototype chatbot for a University library pandas, kerala, nltk
Built an ecommerce website using php
Designed a prototype chatbot for a University library pandas, kerala, nltk
Position: Python Developer,Data Scientist,AI Engineer
Category: Python
Experience: 2 years | English: fluent

Bachelor of Science in Computer Science | Axum University
 2014 – 2017 * Axum, Ethiopia
• Completed Bachelor of Science in Computer Science at Axum University
• Gained a deep understanding of programming languages, algorithms, and data structures
Master’s degree in Artificial Intelligence | Bahir Dar University
2021 – 2023 * Bahir Dar, Ethiopia
• Completed Master’s degree in Artificial Intelligence at Bahir Dar University
• Developed expertise in machine learning,Deep learning, natural language processing,
and computer vision
Certified Google Data Analytics Professional | Google
 2023 *
• Completed Google Data Analytics Professional certificate
• Gained experience in data cleaning, visualization, and analysis
• Completed several projects, including analyzing customer behavior and predicting
sales trends
IBM Certified Data Scientist | IBM
 2023 *
• Developed expertise in data modeling, predictive modeling, and machine learning
• Completed several projects, including predicting customer churn and building recommendation
systems
Certified in Python | Coursera
2023 *
• Completed Python certification course
• Developed proficiency in programming with Python
• Completed several projects demonstrating proficiency in Python programming
• Passed LinkedIn Python Assessment
Management degree from Blue Mark College | Coursera 2022 *
• Completed a management degree program at Blue Mark College
• Developed valuable leadership and business skills, including strategic planning, decisionmaking,
and effective communication
• Studied marketing, finance, accounting, and other key business areas to gain a wellrounded
understanding of business operations
• Collaborated with peers on group projects to develop teamwork and project management
skills
• Graduated with a strong understanding of business ethics and corporate social responsibility
Worked independently for almost two years in data analytics, machine learning,
computer vision, software development, and database administration
• Developed Completed several projects for clients in various industries
• Developed a deep learning model for image recognition using Python, TensorFlow,
and Keras, achieving an accuracy of over 95
• Analyzed customer data using machine learning techniques and statistical methods,
providing insights that improved the client’s marketing strategy and increased sales
• Studied Comfortable working with programming languages such as Python and SQL
• Experience with various libraries and frameworks such as TensorFlow, Keras, and
scikit-learn
• Studied Strong foundation in deep learning, Data Science,machine learning, and AI
• Confident that my skills and experience make me a valuable asset in any team working on AI and machine learning projects.
Position: python developer, Data scientist, Data analyst
Category: Data Science
Experience: 6 years | English: fluent


I have worked as a data mining and data science researcher(Applied) for six-plus years, and I have proven skills in Data science, data visualization, data analytics, and software development. Currently, I am working as a lead Data scientist.in FDRE Information Network Security Administration (INSA)
Position: Python Developer, Data Scientist, Data Engineer
Category: Python
Experience: 0 years | English: fluent


Personal projects include, but not limited to: Analyzing international news headlines after the start of Covid-19 pandemic, and several data science projects from Kaggle. Most of the data science projects have been developed using Pandas, Scikit, matplotlib, numpy libraries. I have experience in databases such as MongoDB, PostgreSQL. Moderate experience using Spark (PySpark), Hadoop, Docker, Django, Redis.
Position: Python Developer, Data scientist, machine learning engineer
Category: Data Science
Experience: 1 years | English: fluent

I have successful been able to apply machine learning and AI techniques to solve real-world problems, leveraging on recent AI tools like ChatGPT, Bard , Notion etc.
I'm a data scientist with 1.5 years of experience in predictive modeling and data analysis. I have extensive experience in using several machine learning techniques and tools to provide cutting edge solutions to real world problems.

I have worked on several data science and machine learning projects, but the one that stands out for me the most is working on a project called "Financial Fraud Statement Detection". 

In this project, my team was given a dataset containing financial statements from companies spanning across different industries like construction, logistics etc. and we were tasked to use features like EBITA, Revenue, Default Status etc. to find patterns between similar statements in the dataset. Since there was no ground truth given in the dataset (no labels) as to whether a financial statement was fraudulent or not, We applied an ensemble of 3 unsupervised machine learning techniques, these techniques include; Isolation forest model, Auto-Encoders and Ratio Analysis, After obtaining classifications from each of the models, an ensemble model was formed in the following pattern:

1. If all the models indicates a statement is not fraudulent, we classify that as “Not Fraudulent” with a Fraud Probability of 0

2. If 1 out of the 3 models indicates a statement is fraudulent, we classify that as “Unlikely Fraudulent” with a Fraud Probability of 1/3 or 0.33

3. If 2 out of the 3 models indicates a statement is fraudulent, we classify that as “Likely Fraudulent” with a Fraud Probability of 2/3 or 0.67

4. If all 3 models indicates a statement is fraudulent, we classify that as “Fraudulent” with a Fraud Probability of 3/3 or 1.

After this model was developed, we launched the solution in form of a streamlit application and deployed on AWS EC2, where a user an upload their financial statement and get the classification in real time.
I expect to apply cutting edge machine learning and AI technologies to solve real world problems and also 10X my productivity while doing so.
Position: Python developer & Deep Learning Engineer
Category: Python
Experience: 5 years | English: upper

ICM ACPC Sub-regional contest, semi-final, 2016-2017;
ICM ACPC Sub-regional contest, semi-final, 2017-2018;
Software & Deep Learning Engineer, 11.2022-present:
- developed microservices in back-end using FastAPI library and Kafka tool to build real-time and high-performance systems in Python.
- lead research in Computer Vision, particularly Change Detection in Densely Packed Scenarios using Deep Learning models in Python.

Software Engineer, 05.2021-09.2022:
- designed and developed back-end systems to serve high-performance APIs built via FastAPI powered by Deep Learning models in Python.
- designed, developed, deployed various RDB schemas in PostgreSQL/MySQL using AWS RDS to handle complex business requirements.
- performed data migration in S3 and RDS, provided necessary information and tools for Data Team to improve analysis algorithms.
- built, configured and setup environments in AWS and managed cloud resources providing the maintenance and availability.

Deep Learning Researcher, 09.2019-06.2021:
- increased 3D object detection accuracy by 33% using Camera and LiDAR Sensor Fusion using Deep Neural Networks in nuScenes dataset.
- performed ETL tasks, built data pipelines in Python and C++, leveraging datasets to enhance the accuracy of Deep Learning models.
- created and configured necessary working environments to train and test AI models using Docker containerization tools.
- implemented Carla-based simulation environment in Python to perform an interactive lane change via Deep Reinforcement Learning.

System Developer, 09.2017-08.2019:
- administered multiple Linux-based distributed server instances used for commercial products and services.
- performed daily bash scripting and server-side development in C, C++, and Python languages.
- configured and deployed SAN (Storage Area Networks) enabling data recovery and performance improvement through RAID technology.
- managed basic network administration tasks including routing, masquerade, forwarding on multiple interfaces.
- installed and maintained RDBMS, PostgreSQL; wrote various SQL functions, performed backups, and restores.
- arranged GIS (Geo-Information Systems) setup and configuration to enable applications to manipulate spatial and geographical data.

Tech and Skills:
Python, C, C++, FastAPI, WebSocket, AWS, PyTorch;
Git, Gitlab, Kafka, Docker, PostgreSQL, MySQL;
Linux, CentOS, RAID, Storage Area Network (SAN);
Deep Learning, Computer Vision, Object Detection, Change Detection;