Candidates 272
$5200 / mo
≈ $62400 / year net
Data Scientist, R programing, R+shiny programing
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday
- Developing the hourly revenue prediction system and anomaly detection, real-time mode
- Developing the auto-bidding algorithm for the optimization of CAC and ROI (san, video
networks) - ad set/country/creative level
- Recommendation of best creatives for campaigns
- Deploying models to the production (R, Airflow, Docker, slack notifications)
- Detecting cheaters by analyzing dialogs using the ChatGPT API
- Developing an application for time series forecasting
- Developing of marketing waterfall model, ROI campaigns monitoring
- Development of scoring models (R, BigQuery, PostgreSQL) - Churn Rate, Conversion Rate, Active days prediction, etc.
- Development from scratch of the anomaly detection system (R package)
- Creation of automatic system for controlling main metrics of business departments (R, BigQuery, Shiny)
Development from scratch of the anomaly detection system (R package)
$5500 / mo
≈ $66000 / year net
Senior Android Developer
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published yesterday · In passive search
• Proficient in Kotlin and Java
• Kotlin Coroutines and Jetpack Compose
• API Protocols: REST, gRPC
• Version Control: GitHub, Bitbucket, GitLab
• Design patterns
• Interested in transitioning to an ML/AI role, with a particular focus on Computer Vision
Played a key role in developing Openpay's, a leading payments fintech in Australia, mobile application which helped the company go public with over 300k active users.
Contributed to the development of ironSource's mobile app Aura, which helps mobile operators increase revenue and helped the company to go public with over 8 million active users.
Helped develop the mobile application for Reface (AI Face Swap App), a well-known Ukrainian company with over 15 million active users.
$8000 / mo
≈ $96000 / year net
Senior Data Engineer
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday · In passive search
- Spark Streaming applications
- Data lakes on AWS
$8000 / mo
≈ $96000 / year net
Senior/Lead Data Scientist/Machine Learning Developer
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published yesterday
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.
$5000 / mo
≈ $60000 / year net
Data Scientist
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
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.
$5500 / mo
≈ $66000 / year net
Data Scientist | ML engineer
Kazakhstan · 5 years of experience · Advanced/Fluent ·Published yesterday
Kazakhstan · 5 years of experience · Advanced/Fluent ·Published yesterday
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.
$2500 / mo
≈ $30000 / year net
Product Expert, Data Scientist
France · 7 years of experience · Advanced/Fluent ·Published yesterday
France · 7 years of experience · Advanced/Fluent ·Published yesterday
technical support of IT products LL3 for 3 years
troubleshooting technical issues in both software and hardware via video/phone calls
testing software/hardware in both web/mobile versions
developing websites, working with HTML5 frameworks
copywriting
product testing and researching
$3500 / mo
≈ $42000 / year net
Data Scientist | ML Engineer | Data Engineer
Azerbaijan · 5 years of experience · Advanced/Fluent ·Published 25 April
Azerbaijan · 5 years of experience · Advanced/Fluent ·Published 25 April
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
$5500 / mo
≈ $66000 / year net
Data Scientist / Data Engineer
Ukraine · 5 years of experience · Advanced/Fluent ·Published 25 April
Ukraine · 5 years of experience · Advanced/Fluent ·Published 25 April
- Image segmentation and object detection models (UNet, DeepLabV3+, YOLO, Vision Transformers, customized architectures, etc.)
- Transfer learning and semi-supervised learning techniques
- Classical image processing and preprocessing techniques: histograms, thresholding, edge detection, textural feature extraction, clustering, and distributions.
- Processing tabular data from various domains including finance, medical records, tests, and wearable devices.
- Machine learning algorithms: decision trees, random forests, XGBoost, Naive Bayes, SVM, linear models.
- Unsupervised learning methods: dimensionality reduction, clustering (e.g., Gaussian mixtures, k-means), distribution-based.
- Building ensemble models.
- Math, statistics.
- Science-based solutions.
- AWS, Serverless (Lambda, API Gateway, AppSync (GraphQL), RDS, Cassandra, VPC, EC2, Kinesis, Glue, Athena, SageMaker, DynamoDB, Comprehend etc.)
- Python (torch, tf, numpy, pandas, plotly, matplotlib, asyncio, sklearn, django, flask, ORMs).
Cloud Backend Engineer, Data Engineer | 2021-now
ONVY HealthTech
- Implemented algorithms and data pipelines for real-time data processing from various wearable devices (Garmin, Oura, Apple Watch, Polar, etc.) using ML for health management.
- Designed and implemented cloud infrastructures using Serverless, AWS and Python for efficient ETL processes and a robust application backend.
- Set up and managed data lakes and data streams.
Co-head of the Artificial Intelligence team. Deep Learning Engineer | 2019-now
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
- Leveraged and created CV, ML and DL techniques for diagnosing tuberculosis, osteoporosis, infective endocarditis, and brain diseases in collaboration with the National Institute of phthisiology and pulmonology named after F.G. Yanovsky NAMS of Ukraine, Riga Stradinš University, The Heart Institute of Ukraine, Amosov National Institute of Cardiovascular Surgery, Romodanov Neurosurgery Institute NAMS of Ukraine.
- Processed military intelligence data from UAVs with CV, contributing to strategic decision-making and security operations.
Technical Team Lead. Cloud backend engineer | 2019-2021
2701323 Ontario Ltd
- Designed and built robust AWS cloud architectures for media-rich web application.
- Developed efficient backend systems to manage and process media content, with a focus on scalability and performance.
- Successfully led and managed a small technical team
- Developed and managed data pipelines and application backends to ensure efficient and scalable solutions.
- Experienced in working with various data types (images, tabular, etc.) in a variety of fields (healthcare, finance, military, etc.).
- Collaborated with leading medical institutes in Kiev to develop intelligent diagnostic systems based on computer vision.
- PhD student (Computer Science, Artificial Intelligence)
- Co-lead and core engineer of an AI-based R&D team at the main technical university of Ukraine
- 1st place in scientific research projects across Ukraine in the field of AI
$6000 / mo
≈ $72000 / year net
Data Scientist
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published 25 April · In passive search
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published 25 April · In passive search
- 5 years as a Data Scientist
- Before - 3+ years as a Software Engineer
Skills
- Programming (Python as a main language, had commercial experience with R, and Web development)
- Machine learning algorithms (classification, regression, clustering, topic modelling, anomaly detection, etc)
- NLP (Text processing, embeddings, texts classification and clustering), Transformers, etc
- Deep Learning using PyTorch
- Data pipelines (ETL, EDA, Data Cleaning, Models serving and monitoring)
- Experiments setup and tracking. Configurations management
- Good Data Visualisation, App prototyping skills, and Dashboards development (Data Studio, Streamlit, Shiny, Plotly, etc)
- SQL experience (MySQL, PostgreSQL, BigQuery, etc)
- Development methodologies (Kanban, Scrum). Jira and other task-tracking tool
- Git, Docker, worked within AWS infrastructure
- Labeling process setup with custom self-developed labeling tool using Active learning techniques
- Provided solution for complex Supply Chain problems with high impact on product value
- Successfull implementation of NLP approaches in Supply Chain domain