Candidates 556
$2700 / mo
≈ $32400 / year net
Data Scientist / Analyst / ML Researcher
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published today
Primary expertise: classical machine learning algorithms for regression, classification, clusterization problems, anomaly detection, dimensionality reduction, and time-series analysis.
Helped to increase the performance of existing models at previous work by up to 15 percentage points. Consolidated various data sources to provide a new fraud validation system. Successfully created an autoML scoring model and implemented it in production, which helped automate a significant part of the scoring analytics processes in the department of the previous company.
$8000 / mo
≈ $96000 / year net
Senior/Lead Data Scientist/Machine Learning Developer
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published today
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published today
I have more than 9 years of software development experience (big corps & start ups) on roles related to machine learning, data science/engineering and R&D from scratch, last 4 years have been taking part in leading teams.
Looking for projects with real-world data and sensible business model involved in deep learning/machine learning and data streaming.
$4000 / mo
≈ $48000 / year net
Machine Learning Engineer
Norway · 2.5 years of experience · Upper-Intermediate ·Published today · In passive search
Norway · 2.5 years of experience · Upper-Intermediate ·Published today · In passive search
Salesforce Developer - 1.5 year (SF developer certificate);
Data Analyst trainee - 3 months;
Data Scientist - 7 months;
Deep Learning\ Software engineer - 9 months;
Currently: Machine Learning engineer - 5 months;
Diploma project: implementation and analysis of natural computing algorithms (harmony search, PSO, simulated annealing) for hyper parameters optimzation using Optuna framework;
ML, python and statistic certificates;
Dataquest (data analyst) course certificate;
applied in LinkedIn;
$5000 / mo
≈ $60000 / year net
Deep Learning Researcher
Ukraine · Kyiv · 3 years of experience · Intermediate ·Published today · In passive search
Ukraine · Kyiv · 3 years of experience · Intermediate ·Published today · In passive search
Innohub
• Сlustering of time series using autoencoders with recurrent neural networks and the attention
mechanism.
• Predicting car breakdown time using recurrent neural networks.
Machine learning researcher October 2021 - Present
Pawa
• Developed evolution algorithm for localizing objects on banner.
• Developed and trained model for video summarizing using pretrained image backbone and attention
layers.
• Created service for detecting real world and gameplay timings in video with zero-shot approach using
CLIP model.
• Trained few-shot segmentation model for video games domain.
• Implemented fine tuning method for few-shot segmentation model to increase metrics on subdomain.
• Created a method for selecting the best query set, which improved the performance of the few-shot
segmentation model.
• Created service for video deduplication and retrieval using self supervised video model and milvus vector
database.
• Created service for video shot boundary detection.
• Created service for interactive image segmentation using clicks and different types of input.
• Created service for long-term video object segmentation.
$5000 / mo
≈ $60000 / year net
Data Scientist
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published today
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published today
I have built the speech to text model for Azerbaijani language using dataset that we used crowdsourcing to gather.
Technologies used: kaldi, srilm, python, bash, pytorch, numpy, pandas
- Azerbaijani text to speech model:
I have built a text to speech model for Azerbaijani language using relatively clean utterances of two speakers. I used tacotron 2 and parallel wavegan models.
Tools used: python, pytorch, numpy, pandas,
- Media Monitoring project:
Wrote 200 crawlers to continuously grab news from 200 different news channels in Azerbaijan with a junior developer. Also applied generic crawlers to grab the news inside even if the html in the page changes.
Applied Similarity Detection on those news to get the unique news.
Applied Sentiment Analysis to classify those news as positive or negative.
Applied Text Classification to classify those news to different categories (Sport, Economics etc.)
Applied Named Entity Recognition to detect entities passing in the news to match them with the positive and negative news, so we can say that the name of this person or organisation is passing on negative news x% of the time.
Tools used: python, scikit, numpy, tensorflow, keras
Similarity detection, Named Entity Recognition, Sentiment Analysis, Text Classification. Tools used: python, scikit, numpy
2) I have built the first automatic media monitoring system for Azerbaijani, where I have applied, Named Entity Recognition, Sentiment Analysis, Text Classification, Keyword Extraction and Summarization.
$4200 / mo
≈ $50400 / year net
Data Scientist
Ukraine · Kremenchug · 3 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · Kremenchug · 3 years of experience · Upper-Intermediate ·Published today · In passive search
Jun 2022 - Present (10 months)
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Lecturer IT STEP Computer Academy
Dec 2021 - Apr 2022 (5 months)
Lecturer in the discipline "Introduction to Microsoft Azure Cloud Technologies"
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Data Science RiverSoft
Aug 2021 - Apr 2022 (9 months)
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Data Science - Consultant RiverSoft
Dec 2020 - Aug 2021 (9 months)
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Back-end Developer - Consultant Hyuna International Ltd.
Jan 2019 - Aug 2021 (2 years 8 months)
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Full-stack web Developer LAMPDev
May 2018 - Dec 2018 (8 months)
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Дата присвоения звания июль 2020 г. Звание присвоено:Міністерство освіти і науки України Харківський національний університет радіоелектроніки
Публикации
1. Method of Classification of Tonal Estimations Time Series in Problems of Intellectual Analysis of Text
Content Method of Classification of Tonal Estimations Time Series in Problems of Intellectual Analysis
of Text Content
Transportation Research Procedia · Mar 20, 2020
2. Method for Evaluation the Pattern of Internet Service Customers Based on Stylometric Analysis
Oof their Text ContentMethod for Evaluation the Pattern of Internet Service Customers Based on
Stylometric Analysis Oof their Text Content
Proceedings of the 2022 IEEE 4th International Conference on Modern Electrical and Energy System,
MEES 2022 · Jan 16, 2023
$4500 / mo
≈ $54000 / year net
Data Scientist
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published today
I provide services such as data collection, data preprocessing, data analysis, building machine learning and deep learning models, and delivering results that can help derive insights for businesses from the data they have.
I have proven to be a data scientist who is enthusiastic about taking on new challenges
Predicted the top 20% of users that are prone to churn (it saved money to target only the high-risk consumers)
Created an automated data extraction solution that can be scaled to different markets regardless of their local data architecture for customer segmentation (it saved months for project scaling)
Provided the other types of insights answering some specific requests from markets (it saved weeks of investigation from the markets' side)
Prepared segmentation model for 10 markets, which enables further activation of 5 communication programs in the respective markets. The model outcome KPIs are used for more advanced tracking of market marketing activities
1. Interesting project/company where I can share my knowledge and improve my skills as a Data Scientist
2. To earn money is quite important. But for me is also important to deliver a high-quality service. Therefore, I want my work to be appreciated as it deserves
3. It's important for me to develop together with the people I work with so that we can share knowledge from different fields with each other (win-win strategy)
$5500 / mo
≈ $66000 / year net
Data Scientist | ML engineer
Kazakhstan · 5 years of experience · Advanced/Fluent ·Published today
Kazakhstan · 5 years of experience · Advanced/Fluent ·Published today
I am proficient in a variety of tools and technologies, including Pyspark, Pandas, Hadoop, Spark, XGBoost, LightGBM, SMOTE, ARIMA, regression models, BERT, Matplotlib, Seaborn, Plotly, AWS, GCP, Unreal Engine 4, QT C++, Python, OpenCV, Docker, Git, and GitHub.
Reduced false positives by 3% and improved recall by 5% in an imbalanced dataset using XGBoost, LightGBM, and SMOTE.
I have implemented a data validation process to identify data drift using Kullback-Leibler (KL) Divergence and Jensen-Shannon Divergence, reducing pre-processing time by 13% and boosting productivity by 8%.
Monitored portfolio financial and risk performance, using ARIMA and Regression Models for time-series forecasting to predict risk metrics like PD, and LGD with 90% prediction accuracy.
Initiated and led automation projects, collaborating with IT teams and using SQL, Python, Hadoop, Spark, and Airflow, which increased efficiency by 30%.
Developed 3D video and VR training simulators, and laser detection shooting galleries.
Developed an advanced teacher assistant that bridges math and computer engineering to enhance education, using BERT for speech recognition and text summarization.
These are just a few examples of my accomplishments. I am passionate about using data and code to positively impact the world, and I am always looking for new challenges and opportunities to grow my skills and experience.
I am confident that my skills and experience would be a valuable asset to your team. I am a proactive, thoughtful, and careful learner, eager to contribute to your team's success.
$800 / mo
≈ $9600 / year net
Python Developer
Ukraine · 1 year of experience · Intermediate ·Published today
Ukraine · 1 year of experience · Intermediate ·Published today
- Web-Scraping, написання парсерів (Python/requests/BeautifulSoup/Selenium/Xpath/Regular Expressions);
- збір і обробка данних;
- OCR, розпізнавання тексту;
- автоматизація рутинних задач в Excel/Google Sheet.
- створив скрипт для перевірки переліку деталей та собівартості виробів (Excel VBA)
- автоматизував розрахунок калькуляцій часу (Python)
- написав макрос для пакетного створення dxf-розгорток з 3D-сборок з указанням кількості, матеріалу і товщини (Solidworks VBA)
Особисті якості:
- дисциплінованість, посидючість, уважність до дрібниць;
- здатність швидко навчатися, любов до освоєння нових технологій, бажання розвиватися та підвищувати свій кваліфікаційний рівень;
- здібність з інтересом виконувати як рутинні, так і креативні задачі;
- стресостійкість, комунікативність, неконфліктність;
- уміння працювати в режимі багатозадачності та робота на результат.
$3500 / mo
≈ $42000 / year net
Data Scientist | ML Engineer | Data Engineer
Azerbaijan · 5 years of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 5 years of experience · Advanced/Fluent ·Published yesterday
The main roles:
• Development and Deployment of ML models
• Fine-Tuning of Transformer Models
• Customer segmentation
• Anomaly Detection
• Churn prevention
• A/B testing
• Big data analysis and insight-driven visualization
• Building Data Quality check pipelines and dashboards
• Design and Implementation of data pipelines
• Development and maintenance of database
• Design, development, ETL workflow
The main stacks:
• Python (TensorFlow, PyTorch)- Certified Python Programmer
• AWS- AWS Certified Cloud Practitioner
• Rest API
• LangChain
• Git
• SQL
• Tableau
• Spark
• Hadoop
• Airflow
• Snowflake
Education:
• Ph.D. candidate in Computer Science from North Carolina State University.
• MSc in Computer Science with Data Analytics from The George Washington University (GPA: 3.93)
• Bachelor of Business Administration from the top University in Azerbaijan (graduated with honors degree)
Main Domain: Banking, Fintech, Telecommunications
The main accomplishments:
• Customer Segmentation Modeling: Engineered a segmentation model using machine learning techniques to assist stakeholders in defining effective thresholds for categorizing business customers, thereby enabling more targeted marketing strategies.
• Automated Data Quality Pipeline: Created and implemented a new automated data quality pipeline, enhancing data integrity and completeness across the organization.
• Customer Profiling and Analysis: Led a comprehensive customer profiling project encompassing process flow design, second-line defense, and board-level presentations, culminating in actionable insights for business strategy.
• Predictive Location Modeling for 4G Stations: Developed a predictive model to identify optimal locations for new 4G stations. Presented top location recommendations and expected financial impact to the management team, aiding strategic decision-making.
• Pricing Strategy Model: Created a pricing model leveraging machine learning to maximize profitability. This model enabled dynamic pricing strategies tailored to different consumer segments, enhancing revenue potential.
The main working methodology:
• Agile (scrum)
Languages:
• English (Fluent)
• Russian (Intermediate)
Certified Associate in Python Programming
AWS Certified Cloud Practitioner