Candidates 559
$7500 / mo
≈ $90000 / year net
Senior System Analyst / API Integration Analyst
Ukraine · Lviv · 7 years of experience · Advanced/Fluent ·Published 8 March · In passive search
Ukraine · Lviv · 7 years of experience · Advanced/Fluent ·Published 8 March · In passive search
System Analysis and Requirements Engineering;
Excellent analytical skills, able to design complex data flows and business processes;
Good knowledge of SOA, Microservices, UML, BPMN, SQL (DML, DDL);
Experience with multiple interface technologies and concepts: REST, Swagger/postman, OpenAPI, XSD/WSDL, SOAP, JSON, etc.;
Experience in API integration, web-services, mobile applications for banking and integrations (including data flow & logic of components for integration);
English level – Fluent/Native
Led 15+ project discoveries and project setups, won 7 projects as a pre-sales consultant.
interfacing with customer/ proxy product ownership;
front-ending customer engagement process
preferably EU/UK customers (to avoid late evening calls with US)
$800 / mo
≈ $9600 / year net
NLP specialist, Python developer, Junior Data Engineer
Ukraine · Kyiv · 6 months · Advanced/Fluent ·Published 8 March
Ukraine · Kyiv · 6 months · Advanced/Fluent ·Published 8 March
Interested in ML and constantly improving my knowledge of the field: completing Projector ML Beginning course and studying on DataCamp. Grammarly CompLing Summer School 2021 graduate; C1 in English and A2 in French.
Have extensive knowledge of NLP frameworks (stanza, nltk, spacy etc.). Have used them in projects during my studies, including a personal graduation project in second-language teaching for Ukrainian and a group project about manipulation analysis.
- Career growth
- Interesting tasks
- Mentorship
$2300 / mo
≈ $27600 / year net
Machine Learning Engineer
Armenia · 2 years of experience · Advanced/Fluent ·Published 8 March
Armenia · 2 years of experience · Advanced/Fluent ·Published 8 March
Worked on multiple Natural Language Procession (NLP) and Large Language Models (LLM)-related projects.
Due to my strong leadership skills, led the recent LLM project as a team lead, contributing to its successful outcome.
Mentored multiple teams of interns on various LLM use cases (Summarization, Hallucination Detection, Evaluation metrics, Sentence Embeddings).
Helping companies build scalable AI solutions.
Feel free to reach out for potential partnerships or project opportunities! I look forward to connecting with you.
$6000 / mo
≈ $72000 / year net
Head of Analytics / Data Product Manager
Poland · 7 years of experience · Advanced/Fluent ·Published 7 March · In passive search
Poland · 7 years of experience · Advanced/Fluent ·Published 7 March · In passive search
- Delivered insights for key decisions on finance, budgeting, marketing, and operations.
- Defined and owned data and AI strategies.
- Managed and optimized data infrastructures, products and processes, ensuring compliance and value creation.
- Cut data infrastructures' costs in multiple companies through audit and optimizations.
- Designed and built data warehouses in Google BigQuery.
- Boosted users' acquisition and retention marketing campaigns with machine learning models.
- Developed and optimized ETL/ELT data pipelines.
- Built dashboards and interactive reports in PowerBI/Tableau/Looker.
- Designed and analyzed A/B tests and other experiments.
- Automated operational workflows of other teams using no-code tools or custom Python code.
- Integrated AI tools and LLMs in key operations of various teams.
- Boosted retention by 9% with a churn prediction model that enabled the marketing team to initiate customer reactivation campaigns.
- Boosted revenue by 14% through pricing optimization strategies.
- Developed the Lifetime Value prediction model, leading to refined Cost Per Acquisition targets and resulting in a 10% reduction in acquisition marketing costs.
- Developed customer segmentation models that enabled more personalized customer retention efforts and led to a 26% revenue increase from returning customers.
- Implemented a stock rebalancing algorithm, cutting inventory turnover by 10% and slashing procurement costs by 24% for selected product categories in selected stores.
- Developed a machine learning model for shelf restocking alerts, reducing inventory turnover by 7% and increasing average order value by 11% for selected product categories in selected store.
- Developed a tool to enable the causal inference analysis of changes when A/B tests are not available.
$600 / mo
≈ $7200 / year net
Machine Learning Engineer
Ukraine · Lviv · 6 months · Upper-Intermediate ·Published 7 March
Ukraine · Lviv · 6 months · Upper-Intermediate ·Published 7 March
Internship. Practiced and improved my programming and engineering skills on real-life project. Developed Computer Vision pipeline that consisted of preprocessing, detection, verification and classification.
Technologies: OpenCV, YOLOv8, EasyOCR, scipy, Gradio, Keras, Git
Python developer at "Center for Analytical Studies and Countering Hybrid Threats" | 2022-Present
Volunteering.
Created desktop applications for web scaping.
Technologies: BeautifulSoup4, requests, Pandas
Projects:
Aircraft classification
Developed Machine Learning project (Computer Vision)
As the result I have created ML model that predicts the type of aircraft with 85% accuracy; downloaded Kaggle dataset; analyzed dataset; visualized and prepared data; elevated data with feature engineering; made evaluation of the accuracy, precision, recall and F1 score; saved the model;
Technologies: Python, TensorFlow, CNN, Feature Engineering (HOG, SIFT), Jupyter Notebook, opendatasets,
Kaggle API, NumPy, Matplotlib, Pandas, xml, sklearn, Git.
Product review classification
Developed Machine Learning project (NLP)
As the result I have created ML model that predicts whether the review is positive or negative with 90% accuracy; trained BPE tokenizer; visualized and prepared data; created model inference; made evaluation of the accuracy, loss; additionally trained the model with new data; saved the model;
Technologies: Python, TensorFlow, LSTM, Jupyter Notebook, regex, NumPy, Matplotlib, Pandas, sklearn, Git
Courses completed: DeepLearning.AI TensorFlow Developer, DataRoot Labs Data Science program
Participant of Olympiad programming contest (2x 3rd place Khmelnitskiy regional competition)
$500 / mo
≈ $6000 / year net
Junior ML Engineer
Ukraine · No experience · Intermediate ·Published 7 March
Ukraine · No experience · Intermediate ·Published 7 March
$12000 / mo
≈ $144000 / year net
Director/VP/Partner
Poland · More than 10 years of experience · Advanced/Fluent ·Published 7 March
Poland · More than 10 years of experience · Advanced/Fluent ·Published 7 March
• Managed R&D in B2B SaaS technology companies and led AI-driven product development.
• Built and grew data science departments from the ground up for 3 companies, including growing a team sixfold in two years.
• Co-founded and managed a VC-funded AI startup.
• Taught Machine Learning and Artificial Intelligence classes at UCU.
I love learning from others and sharing my knowledge and experience. Always open to supporting educational projects, giving presentations, or conducting masterclasses.
In addition to my corporate experience, I also offer consulting services to companies seeking to develop their AI strategies or implement AI solutions.
$3000 / mo
≈ $36000 / year net
Software Engineer
Kazakhstan · 4 years of experience · Advanced/Fluent ·Published 7 March
Kazakhstan · 4 years of experience · Advanced/Fluent ·Published 7 March
One of the most important work experiences that I had was the implementation of the map module of the multiplatform application. Initially, the map was not optimized and took up to 3 minutes to load. I completely changed the architecture and algorithms used for this map and improved the performance down to 3 milliseconds.
I have great communication skills. I am always eager to explain to my coworkers when they are struggling to understand some concepts. So, I explained the MVI architectural pattern to the new colleagues when they needed it.
$3000 / mo
≈ $36000 / year net
Data Scientist
Nigeria · 3 years of experience · Advanced/Fluent ·Published 7 March
Nigeria · 3 years of experience · Advanced/Fluent ·Published 7 March
I have quite a few cloud certifications and would probably add more. I love to validate my experience with certifications, some of which include the AWS Certified Cloud Practitioner, AWS Certified Machine Learning Specialty, Azure Fundamentals and Azure Data Fundamentals, Google Data Analytics Professional Certificate and more. I have an insatiable hunger for knowledge, so I love to learn . I have a great work ethic, cause I derive great joy in solving business problems with my skills and knowledge. I am interested in all things data , I take ownership of projects , so you can be assured I am willing to grow as projects grow and increase. Having wide experience in different fields, I can work as a Data analyst , Data Scientist or a Data Engineer, or a combination as I currently do.
Here are a few of my past projects that fit :
Metrics revalidation for business operations.
Wrote advance SQL and Python scripts providing effective performance metrics for business operations and visualising in real time.
Implemented data workflow and pipeline using Apache Airflow.
Implemented data warehouse for easy reporting/analytics and dashboard
Building.
Built an interactive dashboard on google data studio for real time data
monitoring.
Created a mobile app prototype designed for brand analytics.
Performed brand analytics and social media listening for clients.
Utilised Spreadsheet, SQL and other statistical software to track and
analyse data, optimised data collection procedures and generated reports.
Used statistical techniques for hypothesis testing to validate data and
interpretations.
Presented data and conclusions to management in order to improve
strategies and operations.
I Analysed data and reported hidden patterns and valuable insights.
Created models needed for various projects.
Some elements of my training which are relevant in the data science space include the ability to work on projects involving: Microsoft Excel , SQL, NoSQL,
Python, R, Microsoft SQL Server, MongoDB, Apache Airflow, BigQuery,
Pyspark, Tableau, Power Bi, Azure, GCP , AWS , Apache Hadoop , Database
Management Systems, Descriptive and Inferential Statistics, Data
Visualisation and Storytelling.
application.
Built models for time series forecasting with machine learning for
predicting business sales.
Provided high-quality finished dashboards and reports with Tableau and
PowerBI.
Provided technical expertise in data storage structures, data mining, and
data cleansing.
Implemented data workflow and pipeline using Apache Airflow.
Implemented data warehousing using Bigquery for Big Data.
Provided easy reporting/analytics and dashboard building with Bigquery
and Data Studio.
$3000 / mo
≈ $36000 / year net
Data Analyst
Switzerland · 1 year of experience · Advanced/Fluent ·Published 7 March
Switzerland · 1 year of experience · Advanced/Fluent ·Published 7 March
Over the last eight years, I have refined my skills through diverse management roles in the Swiss hotel industry, where I consistently applied data-driven insights to enhance operational efficiency. My proficiency in data management and analytics is further demonstrated through my use of tools such as R, Python, Power BI, and Tableau. My Microsoft certifications, including Microsoft Certified Azure Data Science Associate (DP-100) and Microsoft Power BI Data Analyst (PL300), showcased on my LinkedIn profile, attest to my technical competence. Additionally, my practical and scientific projects are available for review on my GitHub Portfolio page.