lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Data Scientist / ML Engineer
with 4 year experience and M.S. in Computer Science 

Technical Skills: Spark, Hadoop, Python, AirFlow, Cloudera, NoSQL, Machine Learning, Data Visualization, Modeling, Statistics, A/B tests

Experience:
11.2020 — ... Alfa-Insurance Inc.
Data Scientist / ML Engineer
 Linked the insurance application mobile data to the inner data about drivers, cars etc. in relation to the number of accidents they were involved in. This made it possible to develop end-to-end analytics.
 Developed a pre-crash anti-fraud model which predicted if a person was a fraud before applying for insurance. Saved $2 million of profits.
 Improved the after crash anti-fraud model which could predict by 15% better than other existing models. This made extra $0.5 million of profits.


10.2018 — 10.2020 Mobile Tele Systems Inc.
Data Scientist
 Developed a daily updated AutoML system, which created a segment of users from the internal DataBase for advertising. This system helped save 3 days of work for four Data Scientists. Now the advertising segment can be created in 1 hour automatically. It saved the company $25.000 per month.
 Developed a recommendation system for Library and Music apps, which increased profit by 4%. 
 Collaborated with the entire team to build a model, which decreased churn rate among important clients by 12%.

03.2016 — 10.2017 MaximaTelecom Inc.
Data Scientist / Product Analytics
 Developed and presented ML model, which determines your gender and age from DNS logs. This improved advertising accuracy from 65% to 90%.
 Created a model, using NLP techniques, in order to to predict user interests based on DNS logs..
Due to this model, the sales department began to sell 15% more advertising. / As a result, the sales department increased the sales of advertising by 15%.
 Developed and implemented an A/B testing process. This allowed the company to track product improvements after changes more accurately.
 Developed a model that predicts user LTV and created/designed a web interface to easily display the data on the dashboard
Position: Senior Data Scientist
Category: Data Science
Experience: 7 years | English: fluent


Data Scientist with 7+ years of hands-on experience in end-to-end projects:
 - Identifying business problems and opportunities where data science can be used to provide solutions 
 - Acquiring data from various sources, feature extraction and engineering 
 - Developing and implementing machine learning models to solve various business problems, such as demand forecasting, predicting customer churn, LTV, loan default, fraud detection 
 - Setting up monitoring and feedback mechanisms 
 - Communicating the results of the project to stakeholders, both technical and non-technical.
This experience includes collaboration with cross-functional teams such as product managers, software developers, and business analysts to ensure that data science solutions are effectively integrated into the organization’s overall operations.
Position: Senior Data Scientist
Category: Python
Experience: 3 years | English: upper

Currently I am working on development of chat-bot platform. During the process of development I was able to solve wide range of problems such as data preparation and murkup, analytics, research in the field of DS, specifically in the NLP field and software engineering. With the help of mentioned skills I was able to develop a virtual assistant that is in more than 85% of all cases helps users in solving their problems without human.
December 2019 — currently
1 year 7 months
Центр Финансовых Технологий, Группа компаний
Novosibirsk, www.cftgroup.com

IT, System Integration, Internet... Show more

Software Engineer (Python), Data Scientist
In the NLP area:
- Development of chat-bot platform
- Development of quality metrics
- Development of the reporting service
- Conducting research in classification, clustering, and ranking tasks

In security:
- Search for anomalies in traffic
- User identification through keystroke biometrics

Technology stack: Python, PyTorch, Flask, SQLAlchemy, Wireshark
December 2018 — december 2019
1 year 1 month
ООО "БРУМА СЕРВИС"
Novosibirsk, brooma.ru/

IT, System Integration, Internet... Show more

Software Engineer (Python), Data Scientist
In the NLP area:
- Development of chatbots
- Development of quality metrics
- Speech to text (STT)
- Conducting research in classification, clustering, and ranking tasks

In the CV area:
- User identification by face (Face ID)

Technology stack: Python, Keras, Flask, SQLAlchemy, Kaldi, OpenCV
June 2018 — september 2018
4 months
ООО "ПРЕДПРИЯТИЕ "ЭЛТЕКС"
Novosibirsk, eltex-co.ru/

IT, System Integration, Internet... Show more

Intern Software Engineer (C/C++), Data Scientist
In security:
- classification of tcp / udp traffic

Technology stack: C/C++, Python, Bash, Keras, Wireshark
I would like to work on a big and complex project that provides multiple opportunities for growth as Data Scientist.
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: upper

Math reveals the World: ML modelling of people behaviour.
Problems with lack of data.
Extensive client communication.
Descriptive, prescriptive, predictive modeling using regressions, classifying and clustering; nonparametric statistics, discriminant analysis, physical analogies, kohonen maps, probability theory, mathematical analysis. Python and R machine learning solutions.
Projects: predicting of missing values, recommender systems, outlier detection, clustering, geo-classifying, detection of influencing features, ML package development, digital twins, model visualizations.
Interesting tasks. Professional grows. Flexible hours. English-speaking environment.
Position: Senior Data Scientist
Category: Data Science
Experience: 9 years | English: upper

Certified AWS ML Specialist
Experienced and accomplished Data Scientist with nearly a decade of diverse expertise in model building, fine-tuning, and efficient data pipeline implementation. My primary focus centers on NLP, complemented by proficiency in handling table data and time series, including large-scale datasets. Armed with a Master's degree in Applied Mathematics and certified in Deep Learning and AWS Machine Learning, I possess a comprehensive skill set encompassing Python, Pyspark, Databricks, TensorFlow, PyTorch, SQL, NoSQL, and more.
As a proactive problem solver driven by a relentless pursuit of excellence, I am well-equipped to tackle complex data challenges and provide data-driven solutions. With a focus on excellence, innovation, and a commitment to continuous improvement, I am poised to make a meaningful contribution to your organization's data science endeavors.
Data analysis and interesting tasks.
Minimum of product code writing.
Position: Senior Data Scientist
Category: Python
Experience: 5 years | English: fluent

Excellent team player, strong adaptation skills, Ability to shift from tech to product strategy.
Experienced Data scientist who worked previously in consulting and academia. 
Flagship projects are:
- Building of a data pipeline to curate and analyze electrophysiology data
- Time series forecasting for the Swiss energy market
- Use of mixed integer programming to optimize a pharmaceutical lab schedule
Looking for a hand on technical role in the following industries:
- Pharma research
- Logistics
- Industrial Engineering
- R&D
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Experienced Data Scientist with a demonstrated history of working in the banking industry.
• Led a team of 4-6 data scientists, guiding them in the creation and implementation of innovative analytical 
solutions to address complex business challenges
• Utilize SQL to collect and interpret data from the bank's Data Warehouse (DWH) for further analysis
• Analyze Credit Bureau data and prepare relevant features for machine learning models
• Perform exploratory data analysis and conduct feature engineering to enhance machine learning model 
performance
• Develop income estimation and propensity models for non-salary customers using VAT data
• Build models to identify churned and loyal customers on web and mobile platforms
• Design and develop Probability of Default (PD) models for salary, non-salary, and pensioner customers 
separately
• Develop Pricing models for online loan applicants and design an automated simulation tool for pricing strategy
• Create a Self-Activation model and automated pipeline for new customers across various product types
• Develop Uplift models and automated pipelines for existing customers for each product type
• Devise and implement strategies for campaign management, ensuring effective customer engagement
• Develop a Benefit calculation tool to measure campaign results and optimize outcomes
• Set up an automated risk limit simulation environment using Python
• Develop and deploy feature enrichment micro services, integrating them into lending systems
• Build end-to-end analytical and monitoring dashboards using Flask, Qlik Sense, and Power BI
• Parse and construct data pipelines for VAT data using Python and Spark, facilitating efficient data processing
• Designed and executed A/B tests to evaluate the impact of various banking products
• Identify, measure and recommend advanced analytics strategies across all business areas
Position: Senior Data Scientist
Category: Data Science
Experience: 6 years | English: fluent

Managed a team of 7 Data Scientists, delivering projects for one of the biggest ride-hailing businesses in the Middle East.
Experienced Data Scientist with a strong background in Software Development and Software Architecture. I have more than 8 years of experience in the industry, including 6 years in Data Science. Capable of solving different business problems in various domains and settings using Data Science and Machine Learning, leveraging modern analytical tools and approaches.
A self-motivated and result-oriented person who is interested in solving challenging and complex tasks. Always ready to learn new things and go deeper into every detail.
- experienced and motivated team
- interesting product or project to work on
- less bureaucracy
- freedom in decision making
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: upper

Implemented a custom architecture of a deep neural network (based on U-Net) strategy for microscopy image segmentation and published a paper based on the research.

Led several teams of Data Science and Software Engineers. 

Visiting lecturer at Deep Reinforcement Learning Course.
Five years of working experience as a Software Engineer and Data Scientist. 
Deep background in mathematics, statistics, machine learning, and deep learning. Master's degree in Data Science and Computer Science. 

Different projects in the field of Data Analysis and Data Visualization, Machine Learning, and Deep Learning (Computer Vision, Time Series, Reinforcement Learning). Experience with leading a team or working as an individual.
A result-driven team of professionals that aspires to grow. A comfortable working environment with a competitive salary. Participation in customer communication and results presentation. Please, describe your project when contacting me. No Data Engineering positions.
Position: Senior Data Scientist
Category: Data Science
Experience: 6 years | English: fluent

My solutions are currently hosted at Bosch warehouses in Europe. Passed Samsung software certification exam in Java.
Full-stack Data Scientist and Software Engineer. Deep Learning, Computer Vision and NLP. Have worked at Samsung Research and Bosch. Capable of researching, implementing, and deploying complex ML solutions.
Position: Senior Data Scientist
Category: Data Science
Experience: 6 years | English: upper


- Fully developed the OCR project for the logistics company (signatures/initials detector, text detection and recognition, document type classification, NER) - ITRex group company 
- Built an hierarchical text classifier working with 8 languages for the whole AIB taxonomy - MGID company
- Created the CPA optimization model: CR is doubled while the number of leads is -10% - MGID company
- Realized and implemented the algorithm identifying random/fraud clicks - MGID company
- Created the model identifies level-quality gaps in the game - FragLab company
- Fully created the MVP for an ads recommender model for 800 millions MAU - MGID company
- Developed a ML version of an item recommender model for different requirements setups - Rocket Delivery company
- Built a supply-demand manager from scratch as a service -Rocket Delivery company
- Fully developed vehicle prediction service as a part of the fraud detection system - Rocket Delivery company
- Different other ML models and analytical solutions
Position: Senior Data Scientist
Category: Data Science
Experience: 8 years | English: upper

1. My ML model for prediction of blood pressure by PPG signal was a part of tech which won prize as best R&D project of 2020 (IT Ukrainian Award 2020).
2. For industrial 4.0 domain I've created cross-domain tuning technology which dramatically reduce the overfitting problem.
3. For automotive domain were created: inertial navigation system, scoring system for incurance companies, AI tech for estimation of  car сondition.
4. I'm author of 4 patents in Ukraine.
Hello.
I’m Machine Learning/Digital Signal Processing/RnD engineer(PhD).

All my previous experience corresponds with Machine Learning and Digital Signal Processing for industrial/automotive/biomedical domains. I’m looking for Digital Signal Processing / Machine Learning engineer position.

I’ve experience for both ML domains: classical and deep learning (anomaly
detection, time series, regression, classification). 
I’ve expreience with AWS services for AI solution.
As well I’ve experience with deploying of deep learning model on edge devices (STM 32 based).
I would like to work as Machine Learning or Digital Signal Processing engineer.
Position: Senior Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


I am a Data Scientist with over 6+ years in the IT industry. 
Have extensive commercial experience applying ML/DL in production.
Specialties: Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision (CV), signal processing, Recommendation Systems.
Position: Senior Data Scientist
Category: Data Science
Experience: 6 years | English: upper

My most ambitious project is creating score system for
evaluating traders future performance (complex additive model, using different ML techniques (cluster analysis, pattern recognition, regularisation, dimension reduction, splines, ensemble methods, dynamic time warping, Markov chains, SVM, Gradient Boosting and Random forests) and statistical approaches (Kalman filtering, survival analysis, anomaly detection, missing data handling, sensitivity analysis)

Other important projects:
Hedging global company FX risks
Customer segmentation for business purposes
Visual instruments to analyze the market and behavior of traders
I am a senior data scientist: I have 6+ years of experience in DS, including time series, fintech, and behavior analysis. I managed a team of three data scientists. I am pythonista, but I am open to new, I have touched other languages: Javascript (for web-visualisations) and C++.
I want to find some new challenges and new areas to explore and to be a part of big team.
Position: Senior Data Scientist
Category: Data Science
Experience: 8 years | English: fluent

My team has delivered the first cloud-based AI project to the Porsche customers.
I am currently the tech lead and a data scientist at Porche AG. In my capacity as the tech lead, I manage two different projects in the AI and BigData domains. As a data scientist, I develop cutting-edge AI models for Porsche customers.
I have more than 10 years of experience and a robust educational background in the field of AI and BigData. 
Currently leading cutting-edge projects at Porsche in Germany. I am interested in doing some exciting AI projects part-time.
Position: Senior Data Scientist
Category: Data Science
Experience: 8 years | English: intermediate


I graduated from the faculty of Applied Mathematics.

I have been working in the field of Data Science, Machine Learning, Deep Leraning, Nonlinear Signal and Image Processing for the last 8 years. 
Basically, my main directions are:
- Building deep learning models for processing the images and complex nonlinear signals.
- Modeling of non-linear processes based on deep learning and non-linear signal processing.
- Data analytics using machine learning and statistics.
- etc.

I am in project manager position for about last 5 years. Total number of projects is 14.

I am fluent in Python and I have excellent knowledge of applied mathematics and statistics.
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


I have 5 years of experience in Software Development and Data Science.

Expertise in Data Science and Analytics, Machine Learning applications, AR/VR development, Game Development.

Technology used: 
Deep Learning, Machine Learning Algorithms, Data Analytics, Web Scrapping, Data Visualization.

Tools:
Python, C#, R, Java, SQL, NoSQL,  PyThorch, NumPy, Pandas, Keras, TensorFlow, MathPlotLib, Scrappy, Requests, .Net Core, OpenCV, Power Bi.
An interesting and motivating job which will help me to become a guru.
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: upper


I have a good experience with classical ML tasks, time series prediction, tasks which require high level of statistics knowledge. Great experience with finding insights in data, reporting and data visualization. I have PhD degree in math, and would like to work with challenging tasks that involve scientific research and deep understanding of theory along with practical applications.
I love learning new concepts and skills, I'm very detail-oriented person and good team player.
I don't work with russia related businesses or in domain of gambling / dating / microcredit services
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: upper


I'm a Data Scientist with 5 years of experience in full-cycle ML models development (including deployment). I created real-time antifraud and large-scale personalization systems and designed MLOps infrastructure for data science team.

E-commerce online marketplace in Ukraine (40 million visitors per month)

Head of two departments:

- personalization and recommender systems
- fraud detection

Past 4 years (2014- 2018) of experience as a Product Analyst (3.5 of them Head of Web Analytics department).
Position: Senior Data Scientist
Category: Data Science
Experience: 7 years | English: fluent

- Reduced storage costs by 8 times for high load project
- Implemented anomaly detection solution that optimized advertisement expenses.
- Developed monitoring and update mechanisms for ML/DL models
- Optimized CV model throughput capability by 30%
- Created conversational models with high adaptability before GPT-3
- Fine tuned speech-to-text models
- Contributed to open source projects
I'm a data scientist with experience in different areas - from classic machine learning to NLP and CV.
Including reinforcement learning.
6+ years of experience in deep learning 

Domain experience mostly lies in the field of adtech and finance. I have developed several models that work in real time in high load environments, and made further computational optimizations using multi-GPU inference.

Adtech experience is related to B2B market, where I took part in feature engineering of running ad campaigns and serving the ads based on relevance improving the CTR by 20%. Conducted time series analysis, monitoring and anomaly detection for key ad metrics.

Fintech experience is focused on stock market analysis, portfolio optimization and integration of macroeconomic data into the models. I have also implemented back testing and model selection algorithms
Interested in healthcare, NLP or CV related projects
Position: Senior Data Scientist
Category: Data Science
Experience: 3 years | English: pre


I work as a data scientist for 3 years in product IT company.I did different types of tasks.Most of my responsibilities were сollection, processing and preliminary analysis of data.
Formulation and testing of statistical hypotheses, building models, both based on classical statistical methods and ML algorithms.
Improvement of ready-made mathematical models.
Optimization, implementation and further support in production of mathematical models.
Hands-on experience and a good understanding of various machine learning algorithms. Knowledge of probability theory and higher mathematics, strong analytical skills.
Position: Senior Data Scientist
Category: Data Science
Experience: 10 years | English: fluent

Sr. Data scientist
Founder at Podiya
Main experience: data science, keras, tensorflow, python, numpy, scikit-learn, pandas, cnn, rnn, neural networks, aws, spark, pyspark, airflow, hadoop/hdfs, SQL.
Experience in different domains, digital marketing, fintech.
Position: Senior Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


My work experience were last 3 years in financial sector, banks ,mfi, now I'am Senior Data Scientist in leading fintech in Europe and Latin America.

CV has attached.
I prefer financial sector, especially risk and fraud, collection, CRM. That what i know the best and in these areas I can improve your business.
Position: Senior Data Scientist
Category: Data Science
Experience: 10 years | English: upper

Transferred deployments to Airflow pipelines.
- NLP: NER, classification
- OCR
- Experience with real-time streaming systems and latency optimization
- Delivery models to the production environment
- Data engineering
Preferable positions:
- NLP, Fintech ML
- MLOps
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: intermediate


Now I work sineor data scientist in telco industry. Hourly i have build ML models using lightgbm/xgboost and sometimes create and traine neural network(RNN. CNN). I work on binary/multiclass classification or regression tasks. Also сreate ETL pipeline in Apache Airflow. Have a good expertise in SQL and Python and a little Java
Experience in python lib: pandas, numpy, scipy, scikit-learn, pytorch, matplotlib, seaborn, plotly.
In my spare time, I teach data science courses
Position: Senior Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


Recomendation system
Risk engine(Retail)
Risk engine(Micro)
Budget planning(SEO)
Forecast Market price(e-commerce)
Price sensitivity
Uplift