Candidates 720
$3000 / mo
≈ $36000 / year net
Software developer, data scientist
Ukraine · 3 years of experience · Upper-Intermediate ·Published today
Ukraine · 3 years of experience · Upper-Intermediate ·Published today
I have 3,5 years of working experience as Python backend developer and data scientist at big international companies.
$1500 / mo
≈ $18000 / year net
Data Scientist
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published today
SQL, R, MS Office, KNIME, Power BI, Python.
Data analyst at TK Laser:
As a skilled data analyst with experience in Google Analytics, Google Sheets, and Python coding, I offer a unique combination of technical and analytical expertise. I have a proven track record of using Google Analytics to extract insights and improve website performance. Additionally, I have experience using Google Sheets for data analysis and manipulation, as well as Python coding in Colaboratory to automate repetitive tasks and build data pipelines. I possess strong problem-solving and communication skills, and am dedicated to delivering high-quality results on time. I am confident that my technical abilities and analytical mindset make me a valuable asset to any team
Data analyst at ROZETKA:
The main tasks were importing, validating, cleaning, transforming, validating, modeling or interpreting data collections in relation to the company's business objectives. Used different algorithms and IT tools depending on the situation and current data. The main program was KNIME and Excel.
I have a master's degree in Economic Cybernetics. Also I have profile certificates on Coursera. Ready to apply the knowledge gained at the University in practice.
I am looking for office or remote work. These are mainly Data Science, Data Analytics, Business Analytics.
$3500 / mo
≈ $42000 / year net
Data Scientist | ML Engineer | Data Engineer
Azerbaijan · 5 years of experience · Advanced/Fluent ·Published today
Azerbaijan · 5 years of experience · Advanced/Fluent ·Published today
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
$4000 / mo
≈ $48000 / year net
AI Architect | AI Principal Engineer
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
team of 12 people web products
2014 - 2018 work in project management at the international level team of 15 - 17 people project management at various levels search for employees interviews conducting negotiations with customers
2018 - 2021 private practice of project management conducting mainly blockchain projects from startups to web applications for various blockchain companies working with teams of 5 to 17 people, mainly front-end (vue / react js) and back-end (go / rust / solidity) developers, devops, designers
Projects with blockchains: Elrond, Solana, Tezos, EOS, Cosmos, Cardano and Chain on Tendermint.
Working with metrics:
Product
GMV; LTV; ARPU; ARPPU; DAU/MAU; CA.
Marketing
C1; GA; SW.
$5500 / mo
≈ $66000 / year net
Data Scientist / Data Engineer
Ukraine · 5 years of experience · Advanced/Fluent ·Published today
Ukraine · 5 years of experience · Advanced/Fluent ·Published today
- 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
$3000 / mo
≈ $36000 / year net
Data Scientist
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published today · In passive search
1. Automatization of scripts
1.1 Why?: To save time for other projects
1.2 Tools: Google_drive_Service
1.3 Result: save time from all day task to 40 min task
- Machine learning projects(clustering)
2.1 Why?: To resolve task: find patterns in array of texts(count 300k-2 billion)
2.2 Tools: NLTK, Word2Vec, sklearn
2.3 Result: makes report with patterns of text, and counts of this pattern examples
- Making module tools for work with warehouse.
3.1 Why?: to load so much data for long period of time, where disposable load doesn't work
3.2 Tools: date, datetime, timedelta, cx_Oracle
3.3 Result: script which loads so much data for long period of time
$6000 / mo
≈ $72000 / year net
Data Scientist
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published today · 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
$2500 / mo
≈ $30000 / year net
Data Analyst, Data Scientist
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published today
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published today
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
$2800 / mo
≈ $33600 / year net
Data Scientist | Machine Learning Engineer | Researcher
Ukraine · 3 years of experience · Pre-Intermediate ·Published today · In passive search
Ukraine · 3 years of experience · Pre-Intermediate ·Published today · In passive search
Doctor of Philosophy (PhD). Engineering Science.
Master's degree. Applied Mathematics, Software Engineering.
Professional background.
16 years Researching, Mathematical Modeling, Software Engineering, Data Analysis.
3+ years Researching with DS/ML, Building and Implementing Models in Expert Systems parts.
Skills.
Research and Development Engineering.
Scientific Researching with DS/ML.
Desktop Windows Development.
Database Development.
Mathematical Modeling.
Data Analysis.
2018, President's Award Winner
2015, Academic Degree of Doctor of Philosophy
$3500 / mo
≈ $42000 / year net
Data Science
Ethiopia · 7 years of experience · Advanced/Fluent ·Published today
Ethiopia · 7 years of experience · Advanced/Fluent ·Published today
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.