Candidates 902
$600 / mo
≈ $7200 / year net
Junior Data Scientist & Machine Learning Engineer & Python Developer
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published today
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published today
$7000 / mo
≈ $84000 / year net
Data Scientist
Ukraine · 5 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · 5 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Data Scientist / ML Engineer: more than 5 years of experience in NLP
Worked with BERT, T5, GPT-neo, Transformers, and different architectures of Neural networks to solve NLP issues.
Created a couple of chatbots and knowledge base engines with Gen AI / LLMs (Open AI API, GPT-3.5, GPT-4, GCP PaLM)
Love the full cycle of development of ML models.
PhD student in the field of Computer Science
AWS Certified ML Engineer
Certified Tensorflow developer
Lots of freedom and independence,
Ability to work with specialists that are better than me to study from them
Start-of-the-art NLP
MLOps tasks, Open AI, Generative AI.
$1300 / mo
≈ $15600 / year net
Data Scientist
Azerbaijan · 2.5 years of experience · Upper-Intermediate ·Published yesterday
Azerbaijan · 2.5 years of experience · Upper-Intermediate ·Published yesterday
Main focuses are on Machine Learning Algorithms, Python programming language, building recommendation systems, implementing models,building dashboards.
My responsibilities include:
•Implementing Machine learning algorithms for building models in Python
•Building recommender system from scratch
•Data analysis and data anomaly detection
•Using Apache Superset for Data visualization and exploring
Using data analytics/data science tools from 2019.
-Participated in several hackathons and won first place.
Previously, worked as Business and Data Analyst - the primary focus was on Python programming language, data visualization tools (Microsoft Power BI), Microsoft Excel. My responsibilities were:
•сreating new and improving existing dashboards
•providing and visualization performance metric
•Data cleaning/Dashboard and visualizations in Power BI
•Data exporting using SQL queries(Oracle SQL)
•Data analysis and data-driven decision-making
•Presenting results to non-technical stakeholders
2. Hackathon Energy Crisis and Cyber Security- Winner 2nd Place
$1500 / mo
≈ $18000 / year net
Data Scientist, ML Engineer, Data Analyst
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
In my professional tenure, I have effectively led teams and projects, translating complex data into actionable business strategies. My approach is characterized by a blend of analytical rigor and a deep understanding of how data can inform and drive business growth.
As I navigate through my master's program, I'm not only deepening my technical capabilities but also acquiring cutting-edge knowledge that keeps me at the forefront of data science innovation. My aim is to leverage this knowledge in a dynamic environment to deliver solutions that propel organizational success.
I am eager to engage with professionals and organizations that value the transformative power of data and are looking for a forward-thinking partner to navigate the complexities of the digital landscape.
In my professional career, I have embraced diverse roles that have allowed me to leverage my knowledge and skills effectively. As a Data Science Instructor at the Data Science Academy, I was responsible for designing and delivering comprehensive courses, creating materials, and mentoring students. This role allowed me to stay at the forefront of data science trends and techniques.
At QSS Analytics, I served as a Data Science Manager, leading a team of talented data scientists and analysts. My responsibilities included overseeing the data analysis process from inception to execution, ensuring high-quality results and actionable insights.
As a Co-Founder of tecfeed.co, I ventured into the entrepreneurial world, focusing on educating and inspiring youth about technology and science. This experience has been particularly rewarding, allowing me to combine my passion for technology with my drive to make a meaningful impact.
My participation in the McKinsey & Company Pro Hack was a significant milestone, providing me with an opportunity to showcase my problem-solving skills on an international platform. Additionally, I have undertaken projects such as creating an interactive Tourism Satisfaction Analysis dashboard with Tableau and developing a Default Risk of Subscribers Project, which have further honed my analytical and technical skills.
I am well-versed in a variety of technical tools and languages, including Python, R, Tableau, Power BI, Oracle SQL, SPSS, Big Data Hadoop, PySpark, FastAI, Docker, Streamlit, Shiny, PyTorch, CSS, and HTML. These skills have been essential in my data science journey, enabling me to tackle complex projects with confidence.
My ability to communicate in English, Azerbaijani, Turkish, Italian, Russian, and Spanish has been invaluable in my professional growth, allowing me to work effectively in diverse international environments.
Team Collaboration: I thrive in environments where teamwork and collaboration are encouraged, and I look forward to being a part of a cohesive unit that values each member's contribution.
Work-Life Balance: A balanced life is crucial for productivity and creativity. I expect the company to respect personal time and understand the importance of a work-life balance.
Recognition: I believe in putting my best foot forward, and I would appreciate it if my efforts and contributions are recognized and rewarded
$4000 / mo
≈ $48000 / year net
ML Engineer
Ukraine · Kyiv · 4 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · 4 years of experience · Advanced/Fluent ·Published yesterday
- End-to-end ML Engineering in automotive (vehicle test assistance app)
- AWS Ecosystem (Glue, SageMaker, Lambda etc.)
- GCP (BigQuery, GCC,
Python Stack: Pandas, NumPy, Flask, BeautifulSoup, Scrapy,
Selenium, Matplotlib, Seaborn, SQLAlchemy
ML Stack: Tensorflow, Keras, Scikit-learn, SciPy, XGBoost,
LightGBM
Dashboarding Stack: Tableau, Google Data Studio, Niche
Dashboarding
Databases: Oracle SQL, PostgreSQL, SQLite, BigQuery, MySQL
Notebooks: Jupyter Notebook, Google Colab
DevOps Stack: Docker, Google Cloud Composer, Terraform
Orchestrators Stack: Apache Airflow
AWS: SageMaker, Glue, Lambda, S3, SNS/SQS, ECR, ECS, RDS, EventBridge
- proven recommendation from Project Manager at Google
- proven as an independent combat unit at complex projects, which I handled for clients myself only
- developed a promotion algorithm which still serves the company faithfully for 3 years already
$500 / mo
≈ $6000 / year net
Machine Learning Engineer
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published yesterday
Experience: 1.5 years(part-time)
Responsibilities:
1. Teaching students C++ language, Data structures, and Algorithms.
2. Preparing students for programming contests.
Wanted position: Machine Learning Engineer.
Experience:
No commercial experience.
Non-commercial experience:
1. Two Computer Vision projects(they are on my Github):
a. Model for recognizing character inside of a box.
b. Model for segmenting ships in an image.
2. Completed Deep Learning Specialization on Coursera.
3. Completed Python for Big Data and Data Science course at the university(tasks and their solutions are on my Github).
$4000 / mo
≈ $48000 / year net
Machine Learning Engineer
Kazakhstan · 5 years of experience · Upper-Intermediate ·Published yesterday
Kazakhstan · 5 years of experience · Upper-Intermediate ·Published yesterday
For now I am looking for a job as a Machine Learning Engineer or Data Scientist. I believe that my varied experience did not serve to weaken my knowledge of Machine Learning skills, but rather supplemented them with some sense of reality.
$2300 / mo
≈ $27600 / year net
Middle Data Analyst
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published yesterday
3 years of Data Analyst experience in the largest companies (banking and telecommunication field) of Southern Caucasian region.
- Worked with Big Data using Apache Impala, Oracle SQL (DBeaver),Python, SAP: Business Objects.
- Creating feasibility reports and forecasting profitability of campaign or project.
- Experience with Power BI and Tableau (e.g., By using Tableau, I created a digital map of Azerbaijan via coordinates of telecommunication stations to observe dynamic tendencies in customer behavior across the regions.)
- I proposed and developed SQL script to overcome the vast amount of similar data requests that optimized the work of whole division members.
- Automating daily, weekly, and monthly reports via email using Python and SAP Business Objects.
- I have constructed KPIs tracker using Python to evaluate the company's performance against goals in various business metrics.
- Using A/B testing to improve user engagement.
- Successfully led and trained other team members in using functional Python scripts to optimize preprocessing steps and checking their tasks.
- Training data using Regression, and Decision Tree Models to analyze the correlation between business metrics and customer behavior and use the model to develop more customer-friendly product offers.
Winner of “Technest” Scholarship for Data Science
Succesfuly completion of “Data Science with Python” course organised by Datasocool
Google Data Analytics Professional and other Data Analytics related certificates(You can check in linkedin)
The company that is open to fresh ideas, innovative solutions and have employees with high passions to learn and mentor one another are preferable. Company which is interested in applying modern structure, most recent technology and methodology.
$2700 / mo
≈ $32400 / year net
Software Engineer
Ukraine · 3 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · 3 years of experience · Upper-Intermediate ·Published yesterday
1. eCommerce solution.
Implemented several features to allow customers use Point of sale credit (payment method) in online store, improved credit eligibility application journeys. Fixed bugs. Provided small enhancements. Implemented unit, integration, pact tests.
2. Digital hubs management system.
Migrated code for all endpoints related to hubs from .NET C# to Java. The main difficulty was that the code was written very poorly, because of this I was able to increase the ability to understand such very bad code.
3. Digital assets management system.
Implemented a feature to search for digital assets IDs based on provided .xls file with links to digital assets (Backend and UI) which made it easier and faster for users to search for required digital assets. Migrated SOAP endpoints to REST in aim to make the API of the system uniform and lightweight. Covered most of the code I added with unit and functional tests. Provided small improvements like disabling Postman in production.
Technologies: Java, Kotlin, JavaScript, Spring Framework, GCP, Kafka, Git, Docker, Maven, Gradle, SQL, JDBC, JOOQ, Mockito, REST API, Jira.
Current role: Java developer, an eCommerce platform researcher.
Want to develop comprehensively back-end skills from databases to cloud.
Participated in mentoring Java preproduction students.
Passed GCP PCD exam on the first try.
$1500 / mo
≈ $18000 / year net
Data Scientist
Ukraine · 2.5 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · 2.5 years of experience · Advanced/Fluent ·Published yesterday
January 2023 – till now: Quantitative Analyst, Data Scientist - Data extraction and preparation, data fetching (API, Web Socket), Feature engineering, Quantitative analysis, strategy analysis, Time series predictive modeling. Models: SVM, Linear, Neural Networks (LSTM), Tree based (Random Forest). Instruments: Python, Pandas, NumPy, Scikit-Learn, TensorFlow.
October 2021 – till now: Developer/ Debugger at QualityUnit LLC – bug fixing, refactoring, database analysis, error logs analysis, Network communication analysis, designing solutions, adding functionality, customer communication. Tech stack: PHP 8.0, Javascript, MySql(MariaDB), Grafana, Kibana, Apache, Docker, Github, Intellij IDEA.
May 2021 – September 2021: PHP Web (Full-stack) Developer at TravelEarth agency – developing from scratch and deploying travel agency website; designing application and database. Tech stack: PHP, Javascript, HTML, CSS, MySql, Github.
2010 – 2012 : Postgraduate Course in Kyiv Shevchenko National University – Research on Game Theory and Economic Behavior of Counter-parties. Probability Theory and Mathematical Statistics, Fuzzy Sets, Game Theory.
-- ML Courses --
• Machine Learning with Python-From Linear Models to Deep Learning (Massachusetts Institute of Technology)
• Machine Learning with Python (freeCodeCamp)
-- Pet projects --
• Digital assets market analysis (Live) + Telegram bot alert-notifications
• Developing blog, using Vue.js / Node.js / Nest.js - Building REST API with authorization (JWT) and documented with Swagger. Based on Nest.js
-- Hobbies --
Market Analysis, investment, quantitative trading.
Data science - Quantitative analysis, Time series predictive modeling.
Programming: Python, PHP, Javascript
Math: Probability Theory, Statistics, Fuzzy Sets, Decision Making, Theory of Conflicts
Fluent English, Basic Spanish and Polish
Github:
.../serguzz/DataScience
.../serguzz
Data Science, Data Engineering
Machine Learning
Time series predictive modelling
Quantitative Analysis