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

I took an active part in Olympiads in chemistry, physics and mathematics. I have received a Master’s degree in Applied Mathematics and have been enrolled to a Graduate School to get a PhD in Computer Science. I was engaged in scientific work at the university.
I am a Senior Data scientist with 5+ years of experience in production software development. Recent projects: MASS-SPECTROMETRY - Deep learning approaches to identify levels of various components in a substance HIGH-RESOLUTION BACKGROUND REMOVAL - Creation and development of a dataset, choosing architecture of neural networks, optimisation of parameters, integration of computer vision post-processing algorithms and implementation in a production-ready systems. DEEP LEARNING PLATFORM - Internal infrastructure project to simplify training of deep learning networks on large scale using Docker on Google Cloud Platform. HANDWRITTEN TEXT RECOGNITION - Standalone solution for offline OCR in multiple languages (including Russian and Ukrainian). The project work ranged from dataset creation to production deployment. The system converts handwritten document into editable pdfs. GEOANALYTICS - Development of solution using satellite imagery for analysis of land usage. GREENHOUSE CONTROL - Reinforcement learning approaches to develop an agent to control autonomous greenhouses.
OBJECT TRACKING - Development of fruit tracking algorithms using data from ZED camera and magnetic sensors.
Looking for a place to grow with a wonderful team. I value trust, so screen tracking is a big NO.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: pre


I am a skilled Data Scientist with expertise in advanced data analysis and machine learning applications. My experience spans critical areas such as COVID-19 analysis, cancer prediction using PyTorch, convolutional neural networks (CNN), revenue forecasting, and comprehensive business performance analysis. In 2023, I had the privilege of working with McKinsey, a renowned global consulting firm, where I applied my data-driven insights to shape strategic recommendations and drive measurable results for businesses.

Key Expertise:

COVID-19 Analysis: I have conducted extensive research and analysis related to the COVID-19 pandemic, including modeling the spread of the virus and assessing the impact of various interventions.

Cancer Prediction (PyTorch): Leveraging PyTorch, I have developed machine learning models for cancer prediction, contributing to early diagnosis and treatment.

Convolutional Neural Networks (CNN): I possess expertise in designing and implementing CNNs for image analysis and recognition tasks.

Revenue Prediction: I have accurately predicted revenue trends for businesses using machine learning algorithms, enabling informed financial decisions.

Business Performance Analysis: I have a strong background in analyzing overall business performance, including revenue, sales, net profit, and other critical metrics. My insights have helped businesses optimize their strategies and enhance profitability.

McKinsey Experience (2023): In my role at McKinsey, I collaborated closely with clients to address complex business challenges, including business performance analysis. My data-driven insights and predictive models were instrumental in shaping strategic recommendations and achieving tangible outcomes.

Technologies and Tools:

Programming Languages: Python (including PyTorch, scikit-learn)
Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn
Machine Learning: Regression, Classification, CNNs, PyTorch
Data Mining: Feature Engineering, EDA
Time Series Analysis
A/B Testing
SQL
Position: Data Scientist
Category: Python
Experience: 6 years | English: upper

I have successfully worked closely with management and customers to transform business goals into an actionable project scope, delegating work and creating measurable results throughout the project.

My most impactful work has been helping transform the semantic analysis of queries against a search engine. By integrating a BERT model directly in ElasticSearch, I was able to drastically reduce load-time and resources used, while improving accuracy.
I am a software engineer from Sweden who has been writing high quality code in Python over the last 6 years. My expertise lies in data science - formulating project scope, data governance and machine learning - as well as acting as an intermediary between management and developers. 

I have primarily worked in small agile teams, often wearing many hats to meet the needs of the project. This includes learning new technologies, passing knowledge onto peers, and taking ownership of any given task or project.
I prefer working in smaller teams where I can make a significant impact on the product or service being built.

My expectations of the client/employer is to provide an environment where I get to take ownership and be challenged in my work.
Position: Data Scientist
Category: Node.js
Experience: 0 years | English: upper

I did something
I am a student of a second course of the Faculty of Applied Math. Currently I don't have any commercial experience. As a part of my web development course in the University program I have developed a web site with HTML+CSS+JS+React+PHP.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


I am a third-year applied mathematics student at the Ivan Franko National University of Lviv with knowledge of fundamental concepts of Data Science and Machine Learning. I have experience in preprocessing and labeling large volumes of text data using Python and Prodigy.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

I can call my stubbornness and perseverance in achieving goals an achievement. Previous work experience was in the field of HR, more than 10 years. The experience is quite successful and interesting. But IT has always been my goal, and now the time has come)
I am completing courses in the Data Scientist direction. And  I studied Python last year. Unfortunately, I currently have no work experience in this field, but I sincerely want to find my place in this direction.
I am looking for a team and a company that is willing to accept a beginning developer. My hopes are only your support and a little patience on my way to development. There are no higher expectations yet, as my first priority is to gain experience in the field of Data Science
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I am currently a 3d year Computer Science student at IASA KPI. 
Machine Learning algorithms knowledge: 
- linear, logistic, ridge regression; 
- SVM, Decision Trees, Neural Networks; 
- k means clustering, DBSCAN, OPTICS; 
- PCA, Isomap, LLE & t-SNE dimensionality reduction; 
- Apriori, ECLAT and FP-Growth algorithms

Knowledge of calculus, probability theory, statistics and linear algebra, discrete mathematics.
I would like to gain experience from solving real-life Data Science problems by putting my knowledge into practice.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent


I am currently employed as a data scientist at Tenacious Intelligence Corporation, where I have been involved in several impactful projects. One of my key projects was developing a credit scoring model for a non-collateral digital lending platform. The objective was to enable banks and lenders to assess the creditworthiness of borrowers using alternative data sources and analytics. I successfully implemented the model, leveraging tools like AWS services (EC2, S3, Lambda, and CloudWatch), classical machine learning models, MLOps (Mlflow), and Docker Compose. Additionally, I played a pivotal role in developing microservices, automating deployments, and supervising junior ML engineers. The project's direct beneficiaries were fintech companies and banks, with a user base exceeding 20 million.
Another significant project I contributed to was the development of an end-to-end KPI metadata ETL pipeline and dashboard for an Edutainment company based in Tanzania. This involved constructing a data catalog, designing schemas for the data warehouse, and implementing innovative approaches for KPI metadata mapping using pretrained embedding models. I utilized AWS services (EC2 and S3), Kedro, GitHub+CICD, Docker Compose and Jira  for efficient project management. The project's direct beneficiary was Ubongo, and my responsibilities included ETL pipeline development, dashboard design on Redash, data catalog building, and reporting to both internal teams and external clients.
Prior to my tenure at Tenacious, I worked at the Ethiopian Artificial Intelligence Institute, where I focused on various NLP tasks for under-resourced languages. I have also published a few papers on NLP tasks. My diverse experience and expertise in NLP, credit scoring, data pipeline development, and project management make me well-equipped for a challenging role in your organization. I am confident that my skills and accomplishments align perfectly with the requirements of the position, and I am eager to contribute my expertise to drive impactful results for your company.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I am currently enrolled in a Data Science Bootcamp where I am learning various technologies such as Python, Machine Learning, SQL, and Tableau. I am actively working on several projects as part of my coursework to apply the knowledge and skills I have gained in a practical setting.

Some of the projects I am working on include:

Predictive Modeling: I am developing a machine learning model to predict the likelihood of a customer churning using Python and scikit-learn.

Data Visualization: I am creating interactive dashboards in Tableau to visualize and analyze sales data, with the aim of providing insights into customer behavior and trends.

SQL Queries: I am writing complex SQL queries to extract and analyze data from a database, and using the results to make informed business decisions.

Data Cleaning and Preprocessing: I am cleaning and preprocessing large datasets using Python libraries such as pandas, numpy, and matplotlib.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


I am currently working as a Junior Data Scientist in a consulting agency. This job allowed me to gain experience in multiple fields: from media and retail to blockchain. I also had a chance to work on different stages of projects: from requirements collection to deployment. Apart from traditional machine learning, I have a bit of experience in Natural Language Processing, and I am currently taking an online course to improve my knowledge in this area. I want to continue my development in data science and (if possible) in natural language processing.

Among the projects I worked on are: clustering (media industry), anomaly detection (blockchain), similarity search (NLP in retail), text classification (NLP in media), classification (energy industry).

Skills: python (numpy, pandas, scikit-learn, spacy, nltk, matplotlib, seaborn scipy), SQL (Oracle, MySQL, SQL Server), NoSQL (MongoDB), basics of Docker.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


I am currently working as a programmer. At the same time, I do the work of data analysis, as well as the preparation of new websites. I can easily perform the tasks of data acquisition, cleaning, correction, and providing the necessary information as a database. I also know data science and machine learning. I will present my knowledge here. If you believe and trust me on this path, I will never mislead you. I will work better and prepare the projects on time. if you want something, it means that you have already done half of it.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

-Certified Expert in Risk Management by Frankfurt University
I am currently working as a Risk Modeller/Data Scientist in one of the largest companies in Azerbaijan -KapitalBank. I have over 3 years of experience here. During this time I have completed numerous projects such as credit scoring, collection segmentation, and income estimation models for clients. Developing these models as well as deploying and monitoring models are also part of my skill set.
In my current job, I use Python libraries that are used in machine learning. However, I am also able to read SAS and R codes.
Within 2.5 years I worked with big consulting companies like McKinsey, BCG, and EY on some projects and gained unique experience.
Communication, open-mindedness and honesty are important to me in the workplace. 
Being forced to work overtime by an employer or client is not acceptable. Work-life balance is critical for me.
A warm attitude towards me will motivate me much more. 
High-level bureaucratic work is not my first choice.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


I am currently working with interactive data visualization (d3.js mainly) and data analysis.
I worked with a range of problems involving text mining and classification. Also, I was building an image processing model as a personal project. Tried a variety of approaches starting from classification based on features to simple neural networks (fastai).
Use Python for analysis, pandas, numpy and sklearn for basic task and other libs suited for specific tasks.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

Project of building a voice Ai for remote team meeting and collaboration on zoom. My part is work on the machine learning to build a voice-processing algorithm: transformation of an audio signal by the Fourier method, extraction of phonemes and their characteristics, conversion of speech into text (wave, scipy, Keras/Tensorflow with RNN)
I am Data Scientist with strong coding abilities in Python for 2 years with  BSc Economics
Projects:
1. migration DB from SQL Server to MySQL, Performance tuning and troubleshooting,  writing store procedures and functions for SQL/MySQL
2.Development and optimization of an algorithm for the classification of professions and specialties. I made a rise accuracy in the performance of the system from 61% to 76% by using a more suitable machine-learning algorithm(TfidfVectorizer, LinearSVC)
3. Project of building a voice Ai for remote team meeting and collaboration on zoom. My part is work on the machine learning to build a voice-processing algorithm: transformation of an audio signal by the Fourier method, extraction of phonemes and their characteristics, conversion of speech into text (wave, scipy, Keras/Tensorflow with RNN)
4. Formulation of the problem, collecting primary information(parser), making EDA, processing and preparing data for analysis(time series to DF), searching and identifying patterns, transforming data and cutting off unnecessary features, building a prediction model in order to create a web service to predict the expansion of covid19 as a social phenomenon with basic ETL system and presentation as dashboard
stable long-term work data research, development and implementation of machine learning and deep learning algorithms
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

I've made some pet-projects such as:
-Fraud detection system which handles highly-imbalanced user databases using PCA, SVM, Cohonen Networks
-Image Recognition model based on CNN and RNN (This project was designed as a part of Data Science competition in which I took part at 24th of May, 2019)
-Agriculture yied prediction system using ARIMAX time series model + Deep neural net
-Text Classification (CNN+LSTM+GRU). Main goal of this project was to detect a severity of github commit using it's text
-Implementing NeuralODEs for stock prices
I am Dmytro, fourth-year KPI student and Data Analyst/Scientist _ Vodafone.

I have made many projects and tasks, such as developing fraud-detection systems, time series predictions using Machine Learning methods and tools (Scikit, Tensorflow, Torch, Scipy, numpy, pandas, Keras, word2vec, nltk, pymc3, CNTK, Stats Models, openCV) in Python. Also have experience as back-end developer (Django, Flask). Experienced in SQL(MySQL and PostgreSQL), Tableau and SAS. Have strong analytical skills, math and computer science background. 
Currently perform client traffic analytics and predictive analytics, data engineering. 
I have strong desire to do research and boost my skills in the field of Data Science and Machine Learning.
Prefer to have a job where I can gain more experience in the field of Machine Learning and A. I.
Prefer part-remote schedule. 
Desirable to have NLP-based/CV projects and/or fintech projects
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: upper

I found the best way to be productive.
I am excited to apply for the position of Data Scientist with your company. With a Ph.D., I have a strong background in research and development. My passion for trading and investing in financial markets led me to the field of Data Science, where I have successfully applied my skills and knowledge to a variety of projects.

With my extensive experience in machine learning and data science, I have led numerous projects in various fields. One of my most memorable projects was developing and implementing a customer churn forecasting model for a large retail chain using gradient boosting with the CatBoost library. Another interesting project involved the development of an adaptive algorithm for contextual content of a website using libraries NLTK, GENSIM, word2vec, and the implementation of recurrent neural networks LSTM in TensorFlow.

Additionally, I created an investment portfolio using optimization algorithms to reduce risk and increase stability over a long time horizon. I have also worked on developing digital twins for industrial equipment and an optical control system for galvanization processes, which involved using 12 machine learning models and technologies such as TensorFlow, Rest and RPC API, Docker, Kubernets, and KubeFlow.

Throughout my career, I have worked in teams using the SCRUM methodology and have experience leading development teams in the Data Science area. In my most recent role, I led a team of 8 people in developing an analytical platform for analyzing the behavior of players in the field of gambling and betting using technologies such as AWS, Clickhouse, TensorFlow, PyTorch, Kubernetes, Kubeflow, MinIO, etc.

I am confident that my skills, experience, and passion for data science will make me a valuable addition to your team. Thank you for considering my application.
Interesting task and feel the part of big deal
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


I am experienced Python Developer with strong skills in Data Science, Deep Learning and Computer Vision. I have implemented many Data Science and Computer Vision Projects. Also I am experienced with Full Stack Web Development  Django/Flask + React.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Education
- A third-year student currently pursuing a CS degree at University of Lviv. 

Certifications
- Deep Learning course, from ODS
- Statistic Basics course on Stepik.
I am familiar with different aspects of machine learning field.

I have experience in working with both supervised and unsupervised learning algorithms, solving regression, classification and segmentation problems.

I know how to perform: EDA (exploratory data analysis) with pandas and numpy to detect outliers and missing values, different visualization using matplotlib and seaborn.
Knowing basics of statistics, i can perform different statistical significance tests for feature importance and engineering.

For building ML models, i have worked with scikit-learn, but also acknowledged about XGBoost and LightGBM libraries.
For DL task, i mostly use PyTorch. I know theory behind different neural net architectures including CNN's, RNN's, GAN's, LSTM mechanism and Attention.
Also, I am familiar with practical consequences of how this networks work and how to boost up training process using: advanced optimization algorithms (Momentum, Adam, etc...), Batch Normalization, LR annealing, Dropout, Cross Validation, Regularization and Transfer Learning.

On my GitHub and GitLab, you can find one of my ML projects, that covers various stages of ML pipeline.
Studying the problem of heart failure prediction, I've covered such topics as: data visualization (seaborn, matplotlib), statistical significance tests (parametric and nonparametric), overview and comparison of different classification metrics (f-beta score, ROC AUC, PR AUC), overview and comparison of different ML algorithms for classification (sklearn).
The model with the highest score is than deployed to Heroku. Users can interact with it using API built using FastAPI, via the simple web-site.
I expect to gain more knowledge and experience in Data Science and Python engineering.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

I have several pet-projects and educational projects: 
- Serials heatmap - application that creates a heatmap from serial's episodes rating from imdb. BeautifulSoup and Seaborn used
- Speaker identification by voice - university project. I worked in team and was responsible for feature extraction and neural network model implementation. Keras library was used
- Telegram bot - was my first project created to test my skills, pyTelegramBotAPI and MongoDB used
- Neural network from scratch - gave me a better understanding of the in-depth working of a neural network, NumPy used
- Predict Future Sales on Kaggle - final project for the course “How to Win a Data Science Competition”. I've used mean encoding, XGBoost and models stacking to predict sales
I am finishing my bachelor's degree at the Faculty of Applied Mathematics at the National Technical University of Ukraine 'Kyiv Polytechnic Institute'. Here I received knowledge on different fields of mathematics, data structures and algorithms. I have learned to work in team, to cope with difficulties and to find an individual approach to each person.


Skills and experience:
- good knowledge of Python (NumPy, Pandas, sklearn, SciPy...);
understanding of the basic methods of machine learning and experience of their application;
- practical skills in data cleaning, transforming, normalizing;
- experience with SQL(PostgreSQL, MySQL) and NoSQL (MongoDB);
- worked with Git, Tableau, Docker.

Soft skills:
- analytical and critical thinking - objectively analyze questions, hypotheses, and results;
- intellectual curiosity - desire to acquire more knowledge and apply them to use problems;
- effective communication - can clearly and fluently explain my findings to both technical and non-technical audience.
Waiting for an opportunity to use my skills and knowledge and to develop new ones. It would be a pleasure for me to work on challenging and interesting projects with a friendly team of professionals and improve myself in the field of data science.
Position: Data Scientist
Category: Python
Experience: 2.5 years | English: fluent

During the last year of my undergraduate year, I was one of 20 students out of 1500 who were selected for Machine Learning Bootcamp funded by big corporations in my city. During those 6 months, I learned relevant skills I that needed to become a good Data Scientist. 
In April of 2021, I won 3rd place in Kaggle Competition called AI4DIGIGOV where there were 185 registered teams.
I am Junior Data Scientist based in Budapest, Hungary. I completed my bachelor’s degree in  Computer Science Major, and I am continuing my master’s degree in ELTE as Data Science major. 
I worked as a Data Scientist where mostly I did modeling, and data analysis, and building APIs for my models with Python and its libraries.
Currently, I do research in the Data Science department of the university.