Candidates 249
$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.
$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.
$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.
$2500 / mo
≈ $30000 / year net
Product Expert, Data Scientist
France · 7 years of experience · Advanced/Fluent ·Published today
France · 7 years of experience · Advanced/Fluent ·Published today
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
$4500 / mo
≈ $54000 / year net
Data Scientist
United Kingdom · 3 years of experience · Advanced/Fluent ·Published today
United Kingdom · 3 years of experience · Advanced/Fluent ·Published today
$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
$5500 / mo
≈ $66000 / year net
Data Scientist / Data Engineer
Ukraine · 5 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · 5 years of experience · Advanced/Fluent ·Published yesterday
- 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
$2500 / mo
≈ $30000 / year net
Data Analyst, Data Scientist
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published yesterday
Azerconnect (08/2023 - 02/2024)
- Streamlined executive decision-making by automating monthly reports for the CEO, providing real-time insights into ticket management and employee performance tracking, which increased efficiency by 100%.
- Demonstrated exceptional communication skills by developing a seamless process to automatically send critical reports to managers and HR via Python scripts, enhancing information distribution and collaboration across the teams and reducing employee fraud by 50%.
Tools: Python, R, QlikView, PowerBI, SQL, ML
Data Scientist
ABB (10/2021 - 08/2023)
- Developed and executed data-driven marketing strategies to drive cashless retail transactions of debit and credit cards, resulting in a 100% increase in revenue generated from these transactions year-over-year
- Conducted a comprehensive analysis of customer behavior by leveraging advanced analytics techniques, resulting in a 60% increase in average daily premium card sales compared to the previous month
- Led a team of three to analyze and predict outcomes of four marketing campaigns, resulting in an overall 25% increase in campaign effectiveness.
-Implemented and optimized a YOLOv3-based Real-time Drone Detector model in collaboration with a team of two, achieving an accuracy rate of 90% and reducing false positives by 50%.
Tools: Python, SQL, PowerBI, ML, Linear Regression, ARIMA, K-Means
- 1st place at the 2nd International Student Research and Science Conference (2021)
- 3rd place at the First National Students Scientific Conferences (2019)
Personal Projects
Real-time Drone Detector (07/2019 - 08/2019)
- Implemented and optimized a YOLOv3-based Real-time Drone Detector model in collaboration with a team of two, achieving an accuracy rate of 90% and reducing false positives by 50%
Tools: Python, ML, OpenCV, TensorFlow, Keras, YOLO
Semi-Automated Data Cleansing Tool (07/2022-05/2023)
- Developed a Python-based, user-friendly data cleansing tool leveraging PyQt, machine learning, and visualization libraries, achieving substantial enhancement of dataset quality through innovative semi-automation.
- Demonstrated tool proficiency in autonomously handling diverse data cleaning tasks, contributing to improved model accuracy via rigorous evaluations, particularly with a random forest classifier.
- Pioneered a transformative advancement in data preprocessing, emphasizing the tool's automated approach and intuitive interface, marking a significant stride in improving data quality for robust analysis in data science and analytics.
Tools: Python, ML, Linear Regression, KNN, PyQt, Matplotlib, Seaborn, Scikit-Learn
$3500 / mo
≈ $42000 / year net
Data Science
Ethiopia · 7 years of experience · Advanced/Fluent ·Published yesterday
Ethiopia · 7 years of experience · Advanced/Fluent ·Published yesterday
Cardano Data Engineering: Built & maintained data pipelines, dashboards, & knowledge base. Optimized queries & implemented CI/CD workflows.
Blockchain Analysis: Designed & deployed ML model for stake pool ranking & prediction. Analyzed address distribution, UTxO ages, & user behavior. Performed on-chain analysis & supported settlement desk migration.
Technologies:
Python, SQL, dbt, Trino, BigQuery, Postgres, AWS SageMaker, QuickSight, Data Studio, Grafana, Prometheus, Google Analytics.
Role & Improvement:
Data Engineer & Analyst, driving data-driven decisions. Seeking to deepen ML expertise, explore advanced analytics, & enhance communication skills.
-> Developed an internal solution that addressed security issues using biometric data and voice recognition which was effective in mitigating risks that could have happened otherwise
->Showcased successful AI/ML applications to attract new clients/partnerships, contributing to company's growth
->Demonstrated expertise in leveraging cloud infrastructure for efficient AI/ML deployment and scalability.
->Equipped to optimize cloud-based solutions for future AI/ML projects, ensuring cost-effectiveness and performance.
$5000 / mo
≈ $60000 / year net
AI Solution Architect
Austria · 8 years of experience · Advanced/Fluent ·Published yesterday
Austria · 8 years of experience · Advanced/Fluent ·Published yesterday
Developing a Knowledge Management system based on scalable Retriever Augmented Generation (RAG) using open source LLMs for on-premise or VPC deployment.
- Scalable containerized microservice architecture
- Integration of multiple knowledge bases (Confluence, SharePoint, FileServers, …)
- Information Retrieval and Document and Query expansion
- Efficient use of open-source LLM for Q/A tasks
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Motius GmbH – Tech Lead & Data Engineer 04/2022 – present
As Tech lead and Senior Data Engineer I am building with my team a spare part observability platform that
Siemens customers use to understand and optimize their spare part supply chain.
- Developing a cloud focused system architecture to enable the deployment of a django based backend on
AWS ECS.
- Rearchitecting the data processing backend to increase system reliability.
- Developing a multi-tenant data processing solution that enables scale to zero
- Extending data models and optimizing database access performance
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CARIAD – Tech Lead & Data Engineer 04/2022 – 06/2023
As Tech lead and Senior Data Engineer I am with my team, developing an analytics platform that uses voice
analysis to understand the interests and demands of customers when interacting with customer support. Extracting
product and brand relevant information to understand their usage and sentiment in customer interactions with the
goal to populate a dashboard for business analysts.
- Developing and maintaining a voice analytics pipeline running on AWS
- Developing and maintaining the request backend for a Voicify based mobile voice control application
- Speech to Text transcription based on cloud vendor and custom build solutions
- Topic modeling
- Named Entity and Relation extraction and aggregation
- Building a Tableau based dashboard for business analysts
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Brantner Digital Solutions GmbH – ML Consultant 05/2022
Developing a concept and prototype to extend a machine learning training pipeline to be able to track the datasets
that are used for model re/training.
- Building a dataset manifest to enable data lineage
- Tracking model retraining with MLFlow
- Visualizing and comparing models based on their accuracy