lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

- Developed text classification model that improved automotive data search
- Developed the application for monitoring an automotive equipment condition that simplifies technical report creation from 2 days of routine work to several mouse clicks.
- Developed several credit scoring models (ML classification problem) from scratch to deployment.
- Performed annual banking stress-test analysis that was recognized by Supervisory Board as the best one for many years.
- Finished "Machine Learning Scientist with Python" certificate program at DataCamp and additional courses in Deep Learning, NLP, Statistics, and Data Visualization.
- Published 7 scientific papers in theoretical physics.
I have 4+ years of experience in Data Science/Data Analytics and Software Engineering and 10 years in Academic Research (theoretical physics).

As Data Scientist/Data Analyst:
- developing automotive text data classification system;
- developing credit scoring classification models;
- performing credit portfolio analysis, generating insights to improve credit risk management strategy.

As Software Engineer:
- developing backend with Python for desktop applications in enterprise projects (automotive area);
- building ETL pipelines to transform specific automotive data from proprietary database structure into a traditional relational database.

As Theoretical Physicist:
- conducting theoretical research of the fundamental effects related to the interaction of metallic nanoparticles with an electromagnetic field.

Tools:
- Python libraries: scikit-learn, scipy, tensorflow/keras, nltk, spacy, gensim, numpy, pandas, matplotlib, seaborn;
- SQL: complex queries, stored procedures;
- MS Excel: pivot tables, macros;
- JIRA, Confluence;
- TFS version control system.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

Silver medal on Kaggle IEEE-CIS Fraud Detection
Silver medal on Kaggle Abstraction and Reasoning Challenge
I have 4 years of experience in ML. I worked with computer vision (detectors, depth estimation) and tabular data (regression, classification, etc.). Now I want to work with computer vision.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Experience in managing small team of people (4 people).
Optimisation of testing methods for productions needs which caused reduction of tact time.
I have 5 years experience in Automotive industry working with technical means and creating testing workflow for produced harnesses.
For the moment I am looking for place in IT, including Data Science and Python developer positions
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


I have 5 years of experience as a Data Scientist, specializing in building end-to-end Machine Learning and Deep Learning solutions. My expertise includes regression, classification, and clustering of structured and unstructured data (text, image). I am proficient in building models, deploying them, performing inferencing, and creating APIs to serve predictive capabilities. I have built various LLM (ie GPT-4) integrated projects that serve to a certain business goal. Throughout my career, I have successfully applied my skills to solve complex data-driven challenges and deliver valuable insights to drive business decisions.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


I have 5 years of experience in Data Science(mostly Computer Vision). I have worked on tasks such as: image classification, semantic segmentation, instance segmentation, object detection, face liveness detection, face similarity, face detection, etc. Right now, I'm Data Scientist at a KYC company called Identomat and I'm responsible mainly for Face Biometrics.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


I have 5 years of hands-on experience working on various projects. some of the projects I worked on are : Modulation classification using machine learning(signal analysis), fully deployed face recognition system using deep learning and PyTorch, different audio classifications, and other mini-projects like sentiment analysis, spam classifier, and other NLP projects.
I have experience using sckit-learn,TensorFlow,Keras, and PyTorch for different machine learning projects. currently am a supervisor in a data science team in one of Ethiopia's government organizations.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: intermediate


I have 6 years experience in Data Science and worked on three different projects:

 -  Predictive Analytics - service that predicts baseline for future periods and helps to organize promo activities for FMCG clients. Project is based on regression algorithms (Random Forest, XGBoost, Linear Regression), forecasting algorithms (Holt-Winters, 4Theta)

 -  Recommendation System - service that helps trade agents recommend goods to sell in outlets. Project is based on classification algorithms (Logistic Regression, Random Forest), collaborative filtering algorithms (Apriori).

 -  Optimization Algorithms - platform that helps to distribute territories and outlets between trade agents with respect to many types of conditions. Project is based on optimization algorithms (Simplex Method, Branch and Bound), graph algorithms (Dijkstra, A*), clustering algorithms (k-means, Hierarchical Clustering).
I would like to work in team to share knowledge and experience.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate

Graduated with high score from Ukrainian Catholic University Open Course in Data Science
I have about 1.5 years experience with Python and about 0.5-1 year with necessary libraries for Ml such as Numpy,  Pandas, Scikit-learn
Currently I haven't any team that I work with, but I have the statistics/programming subjects and on my free time I practice in ML
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


I have about 4 years of working experience 2.5 out of which in data science field. I am doing churn prediction to predict the investors who are likely to close their accounts. I am also doing text analysis for multiclass classification. I create dashboards and prepare reports about our customers` behavior. I use Python, SQL and Power BI mostly.
Position: Data Scientist
Category: Data Science
Experience: 10 years | English: intermediate


I have about ten years of experience in IT. I have been involved in various projects and have worked for various companies. I have various certifications in SQL, Oracle and Data Sciense. I would like to continue my activity in the field of Data Science.
The company was international, there were interesting projects, it was possible to work remotely, and, if necessary, help with Reolocation.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I have a bachelor degree in Computer Science in National Technical University of Ukraine 'Kyiv Polytechnic Institute'​. Also I have participated and placed high in regional programming competitions using Python and C++.
I have acquired non-commercial experience in the fields of Cybersecurity and Game Development (specifically UE5). During my university studies, I extensively worked with Machine Learning and Mathematics. Additionally, I have gained knowledge in various computer science domains, including databases, cloud platforms, and parallel computations.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


I have almost 1.5 year work experience in data field. First, I started my career as an intern Data Scientist at Unibank, top 4th competitive bank in Azerbaijan in September, 2021. Here my task was to make predictions about the credit scores applying different machine learning classification models such as Random Forest, Naive Bayes, XG Boost, Cat Boost, KNN, SVM, Logistic Regression in Python. Later I had 2 month of experience working as a Junior Business Intelligence Specialist at Retail Sector. I was mainly using T-SQL and Excel, but as the work environment did not get my attention, I decided to continue my career at Kapital Bank, top 1st private bank in the country, where I worked as a Data Analyst at Kapital Bank for 8 months. Here I was responsible for: 
-improving current Card products performance by making data-driven decisions about their current (cashback %, price, miles,
and hearts in Bir Bank) and potential features
-Building interactive dashboards of Card Portfolio and Card Performance in Tableau
-Doing Data Retrieval, Cleaning, Performance Analysis and Scenario Building through effective use of Oracle SQL, Excel, Tableau, and Python. The most challenging and interesting task that I faced during my time here was Cashback Optimization Analysis. In short, I did the analysis of Bir Kart Black Debit card through analyzing 5 months of data about Cashback, Card,
and Bir Bank (mobile application of the bank) usage of customers and prepared 3 EVAM scenarios based on defined 3 segments (nonbirbank users, birbank users but credited cashback only, birbank user and at least 1 time debited cashback. Here I effectively used Oracle SQL and Excel. In June, I got an offer from International Bank of Azerbaijan, the competitive state bank and started to continue my career as Data Scientist again. It has been 3 month approximately so far, but I have done many things since I came because we were about to start a new project called Uplift Modelling together with McKinsey & Company. During this period, I was able to finish Automation of Manual Benefit Calculation of CRM for Uplift Model campaign results through formulating Python script and Data Quality Check automation through writing a class that automatically reads table from Oracle database and does multiple statistical checks like correlation, outlier detection, null check, monthly trend and distribution check. In the meantime, we are building Uplift Models for different campaigns using XG Boost algorithm
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

1/ Holistic sales models, quantified impact of different factors, increased ROAS,
2/ data analytics (communication trackers, digital platforms etc.),
3/ data-driven stories with PBI dashboards,
4/ strategies for top-level executives
I have a profound experience in finding hidden insights of the raw data and building data-driven stories for top-level executives. I've been working with marketing data for years to build the holistic models to predict sales and evaluate impact of many factors (price, distribution, different media, creatives etc.). I speak fluently English (C1) and I'm an intermediate in French (B2)
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

• Built a complex Probability of Default Prediction model from scratch and handed it over to production.

• Developed an end-to-end system for Annotating Chemical Images (image captioning model) working on TPU.

• Built a churn detection model. Participated in all stages including scoping, data collection, pre-processing, and modeling.

• Participated in recommendation engine development for banking products.

• Fluent in Russian, English, Turkish

• Intermediate knowledge of German
I have around 3 years of experience in building machine learning models in the financial industry. Additionally, I have experience in delivering deep learning projects concerning computer vision.

Some key highlights:

• Developed an end-to-end machine learning pipeline for Probability of Loan Default (PD) Prediction

• Build an ETL using Oracle SQL and PL/SQL

• Implemented logistic regression, random forests, XGBoost, and Deep Learning to solve the problem of PD prediction on tabular data

• Developed a customer churn prediction model for a mobile application using TensorFlow 2.0

• Implemented an image captioning project using Encoder/Decoder Architecture with the use of Attention Units in Decoder

• Used Transfer Learning to encode images into feature vectors

• Worked with deep learning models running on TPU using TensorFlow and PyTorch XLA

• Implemented Vision Transformers for Image Captioning Project

• Completed research on existing Text-to-Speech models and their application to banking (paper available upon request)

• Have excellent knowledge of probability and mathematical analysis.
• Building machine learning models, such as Random Forests, XGBoost, etc.

• Working with images

• Building end-to-end machine learning pipelines

• Helping retrieve and preprocess data

• Build deep learning models using TensorFlow and/or Keras

• I have a deep interest in handling voice data but have limited experience working with voice. Nevertheless, would love to participate in projects on text-to-speech or speech-to-text.
Position: Data Scientist
Category: Python
Experience: 0.5 years | English: fluent

My achievements consist of several nominations in completive programming competitions. The main ones are: 

• Participant in team selection contest for International Olympiad in informatics (2020)
• Silver medal in All-Ukrainian Olympiad in Informatics (2020)
• Silver medal in International Zhauticov Olympiad in Kazakhstan (2020, 2021)
• Gold medal in ITMO international olympiad in Informatics (2021)
I have a solid mathematical background in linear algebra, probability theory, statistics, and mathematical analysis. 
I have completed several books/courses about data science and machine learning: 
 1) Dive into deep learning interactive book by Aston Zhang et al.
 2) Probabilistic Machine Learning: An Introduction by Kevin P. Murphy 
 3) Hugging Face NLP course 
Also, I have hands-on experience with widely used machine learning libraries and frameworks in python like PyTorch, torchvision, Transformers, seaborn, matplotlib, pandas.

Also, I am highly motivated and have excellent self-study ability due to my former nearly five years of competitive programming experience.
I want to find projects connected to data science, especially machine learning to improve my practical skills. I possess the mathematical and theoretical background to be valuable in such a field.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate


I have a strong drive to tackle challenges and a genuine interest in machine learning and data science. With my analytical skills and keen attention to detail, I am well-equipped to tackle complex problems that require thorough data analysis. I also possess excellent social skills and have the ability to easily integrate into a new team.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I have been actively engaged in the development and implementation of neural networks, as well as the implementation of classical machine learning algorithms, through my participation in various courses and summer schools. During these experiences, I utilized a variety of technologies such as Python, TensorFlow, PyTorch, and Scikit-learn.
Currently, I am focused on further advancing my skills in the realms of deep learning and machine learning, with a particular emphasis on delving deeper into neural network architectures, exploring novel optimization approaches, and working with large datasets. I am also intrigued by challenges in developing intelligent systems for natural language processing and computer vision. My plan is to deepen my knowledge and achievements in these areas, while continuing to engage in projects that allow me to apply my skills in practical contexts.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


I have been a data scientist for more than two years now with proficiency in data wrangling using python. Data cleaning and visualization using python, Powerbi and excel. My most current position is a the lead data scientist for creativebyte solutions in Kenya.
Position: Data Scientist
Category: Data Analyst
Experience: 11 years | English: intermediate


I have been in active business life for about 20 years. I believe that I will be able to manage remote work very easily in this way. I am particularly successful in mathematics and analytical thinking. I am also experienced in excel, power point and outlook.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


I have been involved as a main contributor in various Machine Learning Projects in the spheres of both Natural Language Processing and Computer Vision including, but not limited to word embeddings, semantic analysis, spam detection, face recognition, face detection, automatic number plate recognition, optical character recognition. I have completed such projects from scratch till production deployment and, along the way, I have gained knowledge and experience with broad spectrum of tools and software. Here are some examples of these technologies that I have used for the purpose of the given tasks. For example, I have used Faiss similarity-search and MIlvus similarity-search vector database to store and query encodings for face similarity search. I have used python FastAPI to develop Search API that provides similarity search capabilities for users. Besides such specific cases I do frequently use Pytorch, Tensorflow, TensorRT, TFlite, Onnyx, and Openvino in order to train, develop, and  deploy different machine learning models. The choice of the framework here is purely dependent on the specific case of the project or given task. For instance, it depends on whether model is going to be run on GPU, TPU, or CPU specific model architecture and so on.   Currently, I am working on Surveillance system that is mostly based on event detection, person detection, face detection, and recognition as a lead machine learning engineer. My responsibilities are integrating new features to the production, monitoring and enhancing the performance of current version, and assisting my teammates in their tasks and problems. I am looking for a dynamic and fast-growing working environment to enhance my knowledge, sharpen my skills, and gain even more experience in my field.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

Got a conference publication about solving cold-start problem in recommender systems. I have given many seminars and live tutorials in Azerbaijan about python, analytics.
I have been involved mostly with IoT sector doing predictive modeling and all sorts of data science related tasks. I have instructed introduction to data science course where I am currently working as a researcher in choice modeling and decision making.
I am mostly interested in freelance type of works, yet other offers are also welcomed.
Currently, I would rather prefer part-time positions
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

Master's degree in Computer Science.
Lived through 2 years of intensive work schedule at a startup company and enjoyed it.

Certificates:
IELTS with Overall Band Score 7.5 (2016)
Coursera: Machine Learning by Andrew Ng
Coursera: DeepLearning.AI Deep Learning Specialization
Coursera: Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera: Graph Search, Shortest Paths, and Data Structures
I have been working as a data scientist for 2 years. 
- I built supervised, semi-supervised and unsupervised models. 
- Deployed models to production and built pipelines for big data processing and validation. 
- Built models for text classification and LDA.
Before this, I worked as a back-end developer for almost a year and as a full-stack developer for almost 2 years.

Right now I am feeling confident with classical machine learning models and programming instruments. I see my next step in getting proficiency in narrower areas such as CV or NLP, where I currently have theoretical knowledge and a few practical examples.
I want to find a place in a team with experienced teammates. 
I don't want to work only on supporting existing models and products.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


I have been working as a Data Scientist for 4years across different companies. Currently I'm a freelance data scientist looking for a new challenge that can help me grow and develop my skills. I have used machine learning and deep learning models to analyze and make accurate predictions on datasets. I have also used pandas in conjunction with matplotlib, sea born and jupyter notebook to accurately visualize fluctuations in data and build graphical representations of statistical models.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


I have been working as a data scientist more then 3 years. I have experience in different fields of data science, including NLP, Computer Vision, time series data analysis and conversational AI chatbot development. 
Completed Projects:
     - Developed optimization model (routing, scheduling, packing) for delivering companies
     - Language learning AI chatbot development in Rasa framework
     - Customer reviews analysis and clastering using NLP techniques
     - Time series analysis on Digital Signal Processing data
Currently I'm working on computer vision problem, where the main responsibilites are.
- Image data collection and processing
- Building and deploying  Image classification and object detection models using Deep Learning libraries
I want new challanges, more flexible work hours and opportunity to learn new skills.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I have been working as a DWH intern at YAPI Kredi Bank for a month, working with real data, and using Oracle SQL and Excel to explore the data, and write queries.
Besides that, I have experience as a Data Analyst/Scientist at the Azerbaijani data company: ProData. Our job was mainly about:
Researching: one of my projects was about agriculture and I was exploring gaps and anomalies in Azerbaijan according to the open source data. I was using PowerBI as a visualization tool. 
Data Collection: For many tasks, I was dealing with data collection, Web Scraping if needed. I can use both BeautifulSoup and Selenium libraries.
I have basic knowledge of NLP and Computer Vision, and how they work. I am able to work with ML and DL.
Currently, I am doing research about text prediction and its working principles to create a model.
I am more interested in technical parts. My expectations are working with the data for exploring, preprocessing, cleaning, and creating models for predictions, etc.
Position: Data Scientist
Category: Python
Experience: 1 years | English: intermediate


I have been working as full stack web-developer for 1.5 years. During this time I have received experience in working with ASP.Net, Signal R, EntityFramework, JavaScript, Bootstrap. 
In my bachelor's degree I taught several different CNN architectures to detect some different types of military equipment such as tanks, military trucks, artillery systems, APC and other.
I`m looking for a new job in data science. I want to develop in this area but also I may consider some different offers.
The best ways to communicate with me is telegram. Sometimes I may miss some messages so If I don`t reply immediately, I will reply messages in the evening