lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate


Pet projects (data science field):
Human Microbiome Studies: Developed a model that diagnose or predict disease risk in humans using machine learning tools. 
•	Analyzed data using Natural Language Processing (NLP) tools.
•	Applied Linear Discriminant Analysis (LDA) to reduce dimensionality.
•	Calculated feature importance that provide insight into the dataset.

Biometric Person Identification by Iris Recognition: Developed a person identification model based on iris database using machine learning tools. 
•	Detect human iris on a photos using Python libraries OpenCV, SciPy, and Scikit-Image.
•	Compared performance of two-dimensional discrete Fourier transform, two-dimensional discrete cosine transform, and two-dimensional wavelet transform.
•	Compared accuracy of K Nearest Neighbor (KNN), Gradient Boosting (GBC), Logistic Regression, Linear Discriminant Analysis (LDA) and other classifiers.

Visualization of COVID-19 pandemic data: Created a MATLAB application that processes and visualizes COVID-19 pandemic data (obtained from the Coronavirus Resource Center at the Johns Hopkins University).
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: pre


PhD, Data Scientist

Main tasks: Automation data collection, NLP, classification text data. developing neural networks, detection and recognition of objects in the image, classification audio data. Using python for construction REST API with neural network models
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

0. PhD in Solid State Physics.
1. Creation of automated exploratory data analysis tool.
2. Development of automated ML-based platform containing:
- data analysis.
- model creation.
- model training and validation.
- pipeline creation for new data processing.
- models drift detection and automatic model updating.
- reports.
3. Successful management, execution and completion of ~10 projects:
- Presales and demos.
- Team leading.
- Business and Data analysis.
- Models creation and validation.
- Presentations and meetings with customers.
- Business trips.
4. RF antenna recognition on photos and signal detection via drones and neural networks.
5. Recovery of a power grid map by telecommunication equipment alarms.
6. Improving network availability by detecting weak backup batteries (or predicting their degradation). Prediction of electricity power outages.
7. Improving contractors efficiency by detecting fraud in reports, poorly executed work, fuel theft, work redistribution according to skills.
PhD, Data Scientist with a strong math background and experience using data processing, mining, and analysis algorithms, as well as various ML approaches to solve both research and business problems for telecommunication companies worldwide. 
Experience with all DS process steps (from BA to production). 
Development of an AutoML-based system for processing, preparation, and analyzing raw data, and providing predictions.
POCs for customers: demo, kick-off, and weekly meetings; business analysis; data collection and analysis; system setup and tuning for POC needs; results presentation.
AI-team management and leading, mentoring junior data analysts.
Deep Learning based image and signal recognition.
Raw text processing via NLP techniques. 
RnD and math support of other internal projects.
Research in transfer learning for equipment issues forecasting.
Experience in stakeholders communication and presales (C and VP-levels), direct work with a foreign customer (VP-level). 
Foreign business trips (Africa, South America).

Technologies:
- Python, pandas, numpy, sklearn, matplotlib/seaborn, scipy, h2o, Tensorflow/Keras, nltk / spacy, networkx, sqlalchemy, geopandas, json, requests, Flask+Gunicorn.
- Matlab/Octave.
- MySQL.
- JavaScript (integration scripts between Flask backend and JS frontend), amcharts4.
- Linux (both .deb and .rpm), bash/sh.
- Gimp, Inkscape and G-docs for documentation, reports preparation, and presentations.
Position: Data Scientist
Category: Data Science
Experience: 10 years | English: intermediate

PhD in mathematics, lector, docent
PhD in mathematics, developed applied math projects using math statistics and math modelling, programmed them on R and Python, published decent number of articles in scientific journals.
Some of projects:
- Research of actual problems of theory of random processes, mathematical analysis and boundary-value problems of mathematical physics
- Statistical estimation of some characteristics and mathematical modelling of stochastic processes and fields
- International cooperation program on mathematical education funded by Norwegian Center for International Cooperation in Educations (SIU) in the framework of Eurasian program
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent


Predicting service denial
In order to minimize the unnecessary waiting time for citizens to get help from governmental services and improve the quality of a service in Azerbaijan.

Financial Fraud Detection using Machine and Deep Learning techniques for better performance
Comparison of various ML algorithms are tested and compared based on evaluation criterias. (ROC/AUC, F1-score, MCC and Confusion matrix)

Sentiment analysis in E-commerce using Deep Learning Techniques
An integral part of the analysis is not only to understand the content or the emotion of the feedback, but also to understand which aspect they are talking about. There are various methods used for NLP, however, after testing them (Bags of Words, BERT, Hugging Face libraries) XLNet has been selected as the best model.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


- Prepare datasets using SQL and Pandas (Clean data, handle missing values, create new
features, prepare target)
- Perform training, evaluating, testing ML-based models (Scoring models)
- Solve computer vision problems (Image quality, Object Detection, OCR)
- Create an API or services with models in Python and deploy to server in containers
- Write Python packages for DS team
Position: Data Scientist
Category: Other
Experience: 1 years | English: upper


Previous experience: junior analyst at Wine Bureau (sale analyst and forecast) from 2018 to 2019.
Now I want to try myself as a data scientist, preferably with internship (I'm fast learner, also have listened to machine/deep learning courses, right now I'm learning Python and SQL).
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


Previously, worked as a systems analyst at a financial company. Now I am actively developing in the field of data science and machine learning. I am creating my own project, improving my skills and looking for a new job!
I would like to work with big data processing in the areas of GameDev, Dating, Blockchain technologies, and others.

I don't want to work with Gambling, fintech.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Finished the python developer courses under the IT Generation state program with the maximum score. I continue to study and improve my person and professional skills to get my first job in IT.
Previous work experience was mostly managerial. My duties included establishing a continuous production process with the achievement of certain objectives.
Today, I am making every effort to master the profession of data scientist or python developer.
Clear explanation of work tasks. Friendly work team.
Position: Data Scientist
Category: Data Science
Experience: 10 years | English: upper

In fintec company developed and implemented scorecard – default prediction model.  As a result, risk losses decreased by 19% and application approval rate increased by 17%.
For bank ( in top 10 largest bank in Ukraine) successfully designed, implemented, and validated predictive models, leading to credit loss reductions ranging from 18% to 40% across a variety of products and models.
Professional Lead Data analyst with Data Scientist role with 10+ experience in financial sector (bank, fintech).
I have experience with leading projects involving:
-  building, implementing, validating classification and regression models (credit scorings)
-  gathering, cleaning, analyzing data to identify opportunities for improving business efficiency
-  ETL jobs automation 
-  reporting and forecasts 
     I am adept at working with large datasets and have experience in data mining, data analysis, working with various programming languages such as R, SAS (Statistical Analysis System), SQL, Python, creating interactive dashboards using data visualization tools such as Power BI.
Looking to leverage my data analysis and modeling skills in developing models that will drive business grows.
Position: Data Scientist
Category: SQL
Experience: 11 years | English: intermediate

Excellent communication, interpersonal, analytical skills and strong ability to perform as part of a team.
PROFESSIONAL SUMMARY
• 11+ Years of programming experience as an Oracle PL/SQL Developer in Analysis, Design and
Implementation of Business Applications using the Oracle Relational Database Management
System (RDBMS).
• Knowledgeable Oracle Developer skilled in data collection, analysis and management. Works
well under pressure and consistently meets deadlines and targets while delivering high quality
work.
Highly-skilled software development professional bringing more than 11 years in software
design, development and integration. Advanced knowledge of Oracle SQL, PL/SQL and MST-
SQL.
• Involved in all phases of the SDLC (Software Development Life Cycle) from analysis, design,
development, testing, implementation and maintenance with timely delivery against aggressive
deadlines.
• Experience with Data flow diagrams, Data dictionary, Database normalization theory techniques,
Entity relation modeling and design techniques.Expertise in Client-Server application
development using Oracle 12c/115/10g/91/8i, PL/SQL, SQL *PLUS, TOAD and SQL*LOADER.
• Effectively made use of Table Functions, Indexes, Table Partitioning, Collections, Analytical
functions, Materialized Views, Query Re-Write and Transportable table spaces.
• Strong experience in Data warehouse concepts, ETL.
• Good knowledge on logical and physical Data Modeling using normalizing
Techniques. Created Tables, Views, Constraints, Index (B Tree, Bitmap and Function Based).
• Developed Complex database objects like Stored Procedures, Functions, Packages and Triggers
using SQL and PL/SQL.
• Developed materialized views for data replication in distributed environments.
• Excellent technical and analytical skills with clear understanding of design goals of ER modeling
for OLTP and dimension modeling for OLAP.
• Experience in Oracle supplied packages, Dynamic SQL, Records and PL/SQL Tables.Loaded Data
into Oracle Tables using SQL Loader.
Partitioned large Tables using range partition technique.Experience with Oracle Supplied
Packages such as DBMS_SQL,DBMS_JOB and UTL_FILE.
• Created Packages and Procedures to automatically drop table indexes and create indexes for
the tables.Worked extensively on Ref Cursor, External Tables and Collections.
• Expertise in Dynamic SQL, Collections and Exception handling. Experience in SQL performance
tuning using Cost-Based Optimization (CBO).
• Good knowledge of key Oracle performance related features such as Query Optimizer
I Don't Want to Work as admin on RAC and Grid
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

All of the achievements could be checked in my CV
Proficient in NLP and Recommender Systems. Took part in several research SOTA projects. Young and perspective with the curiosity for learning and developing. Know how to use such cloud platforms as AWS and Azure.
Looking for interesting and challenging projects
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


Programming has been a great help in my career as a research engineer, and I have always enjoyed automating routine tasks with scripts. I finally decided to devote my personal development to growing as a data scientist.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Programming languages: Python, R, Scala
Data analysis: AWS, Spark, Tableau, strong knowledge of statistics, understanding of machine learning algorithms
Databases: SQL, PostgreSQL, PL/SQL, MongoDB, Cassandra, Neo4j
Other: GitHub, Docker, Keras, sklearn, pandas
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Kyivstar Big Data School Course Accomplishment(Predictive analytics;Machine learning at scale; Big data tools and technology(Hadoop,Spark,Hive,Kafka);  Basics of business analytics.
Stepik courses:Programming in Python,Machine learning,Introduction to Data Science and Machine Learning,Basic Statistics 3 parts, Data Analysis in R 2 parts.
Kaggle competition
Programming Languages: Python, R, SQL, Power Query,DAX,VBA
Data Bases:MS SQL,Azure, Hadoop, BigData, MS Access
Frameworks: Scikit-learn, NumPy, pandas, Spark, Keras
Knowledge: Mathematics, Statistics, Machine Learning (regression,,Optimization,Operations research,Time Series Analysis,Deep Learning.
Creating Power BI Reports;Azure Alerting services;Azure Stream Analytics jobs;Azure ETL Reporting; Development of CRM Recruiting Service
Data Scientist in the fields of Machine Learning and Artificial Intelligence
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


proj.1 - Limited dataset from factory. Machine learning. Tensorflow. Sklearn. Math.
proj.2 - Data stream. Data preprocessing, Data veracity checking. Pipelines creation. Big Data (pySpark, SQL). Cloud. Machine learning. Databricks.
proj.3 - Startup. Time series analysis. Signal processing. Computer Vision. Data gathering. Pre-processing pipeline creation
Love something fresh
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: fluent


Project details: HR system for “Aloqa” Bank, FinTech industry
Major Responsibilities:
-	Develop HR system for local bank using computer vision techniques – face detection, face embedding, face recognition
-	Develop people count and gender and age identification app using CV techniques
-	Improved accuracy by 30% using CV algorithms.
Experienced technologies: GitHub, Docker, InsightFace Modules, OpenCV, PyCharm
Project details: Traffic offences detection
Major Responsibilities:
-	Develop traffic offence detection system for a government sector using computer vision techniques – YOLOv8 pretrained models trained on custom dataset
-	Develop stop line, traffic lights and people and car plate license plate detection
- Deploying the project on Gradio
Experienced technologies: GitHub, YOLOv8 Modules, OpenCV, PyCharm
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Projects:
1. Daimler Truck North America (Portland, OR) / Vaital (Bellevue, VA)

Project description:
Data analysis of truck behaviors. Understand how customers are using their trucks.
· Analyzing average types of roads where drivers travel frequent. · Analyzing drivers average speed.
· Analyzing electric and diesel prices of different regions.
· Counting the revenue in case when drivers road is changing between state to state.
. Visualizing obtained results with different plotting tools. Roles/Responsibilities: Developer
Language - Python.
Frameworks and LIbraries - Pandas, PySpark, Databricks, Numpy, Flask

2. Flexport (San Francisco, California) / Vaital (Bellevue, VA)
Project description:
Mapping product descriptions to HS descriptions/ codes (Natural Language Processing)
Need to predict HS descriptions and codes from different product descriptions:
· Training a multi-label classification model with transformers (Bert, DistilBert, Roberta and others).
· Error Analysis for further improvement of the model.
· Impoving accuracy using (Named Entity Recognition, Natural Language Inference).
· Working with GPT-3 model for predicting difficult parts of HS descriptions from dynamicly changeable descriptions without re-training of model.

Frameworks and LIbraries - Huggingface Transformers, Tensorflow, PyTorch. Pandas, Streamlit, SQL, Flask, FastAPI.

3.License plate detection and character recognition. (Sphere - Computer Vision)

Technologies:
Language - Python.
Frameworks and libraries - OpenCV, YOLOv5, YOLACT, LPRNet, PyTorch, TensorFlow.
1. Collecting data of Armenian license plates.
2. Detect license plates of vehicles with YOLO.
3. Segment all characters on plates with YOLACT.
4. Recognize digits and letters with LPRNet and other models.Worked on Machine Learning projects for tabular data and Computer Vision projects for both images and videos. Used frameworks OpenCV, Pandas, Numpy, Scikit-learn, PyTorch, Flask, TensorFlow and Keras.
Position: Data Scientist
Category: Python
Experience: 1.5 years | English: fluent


Projects: 2D‑BASED STRATEGY WiTH PROCEDURALLY GENERATED WORLD, created MEDICAL DATASET, created ONLINE SHOP WEBSITE, created AI‑POWERED SALES ASSISTANT, TEXT RECOGNITION PDF DOCUMENT SCRIPT WITH DATABASE FUNCTIONALITY, COMPUTER VISION‑FOCUSED FRAME AND VIDEO EDITOR
Programming Languages: Python, C, C++, C++/CLI, HTTP, Haskell
Frameworks & Tools: Pandas, NumPy, SciPy, Matplotlib, Matlab, OpenCV, Git, LaTex
Databases: SQL, MySQL, PostgreSQL
Platforms/Tools: Linux, Visual Studio, GIT
Languages: English(Advanced), German(Advanced)
Currently Python Data Scientist and C++\C# Software Developer
Frontend Developement
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Projects:
- Application Credit Scoring System (end-to-end) in Banking Industry
- Time Series models to forecast different scenarios in Banking Industry
- Churn Model Dev/Deployment(end-to-end MLOps)

I Have:

* Machine Learning Background to solve business problem
* Statistics and Math Knowledge to frame any problem.
* Sharp business mind to understand and approach each problem 
   individually

Tech Stack

* Docker
* Git
* Terraform
* CI/CD Approach
* MLflow
* MySQL
* Python
    - ML: sklearn, pandas, numpy
    - MLOps: FastAPI, boto3, sqlalchemy, pydantic
* R
    - tiydverse, tidymodels, baguette
    - pins, plumber, vetiver, aws.s3
    -  shiny, shinydashboard, highcharter, plotly, ggplot2
* AWS
    - S3
    - EC2
    - ECS

Background:

* Business Problem Understanding
* ML Algorithms: XGBoost, Random Forest, Bagging, Regularization, Regression, CART
* Statistics: Hypothesis Testing, Resampling, Estimation Statistics, Econometrics
I look for a Data Scientist position with desirably MLOps focus.
I am a problem solver, you can make sure I always focus on the problem, giving the best solution rather than getting stuck on picking the coolest tool.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Publication at IEEE
Projects:
Binary neural networks research
Face reenactment research paper published at IEEE
End-to-end facial mimics manipulation on arbitrary data
Facial recognition
Facial keypoints identification 
Heart rate estimation from face
Hand detection and tracking
Automatic license plate recognition
Meditation framework using haptic feedback
I expect to work as Machine Learning/Deep Learning Engineer in Computer Vision
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I`m studying at university for now and adore working with ML. I persevere to become the best ML developer. Pursuing any career without striving to be the absolute best holds no significance to me.
Projects:

Completed several Data Science team - projects involving data analysis, data visualization, and machine learning using Python and various libraries like Pandas, and Matplotlib.

Collaborated on university projects that focused on data analysis, data visualization, and applying machine learning algorithms, using libraries like  Pandas, Matplotlib, Seaborn, Scikit-learn, and TensorFlow.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

I was Erasmus student also i had been volunteer in AIESEC. Also had some exercise with freelance.
Tried myself in university government.
Projects on freelance 
Course on Erasmus+: Image Recognition Systems
Course on Erasmus+:Introduction to Artificial Intelligence
Course on Erasmus+:Languages and Programming Paradigms
Volunteer in AIESEC
I would like to have a new experience in data science and also it could be nice, if it is data engineering
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

Certificates:
- Machine Learning Specialization (DeepLearning.AI)
- Single Variable Calculus (Penn State University)
- Neural Networks and Deep Learnin (DeepLearning.AI)
- Linear Algebra for Machine Learning and Data Science (DeepLearning.AI)
- projects on Kaggle (predicting water temperature based on salinity and other features; predicting survival of Titanic passengers; housing prices prediction)
- projects on Python course (personal assistant with web-interface; neural network for fashion-mnist classification; etc)
- neural network for emnist classification
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

1,5+ years of experience in building machine learning models and deep neural networks models (mostly
using Python 3) both from scratch and diving into an existing codebase.
Project: Traffic sign detector:
Project: Welding flows detector:
Project: Boston housing price regression:
Project: Cats and dogs classification:
Project: Fashion MNIST classification:
Project: Number MNIST classification:
Project: Predicting the Survival of Titanic passengers
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

Good math olympiads results in school days.
Several completed kaggle projects.
Tons of completed machine learning related projects in various fields - from computer vision to NLP etc.
Python, C++, numpy, scikit-learn, machine learning, data science
No gambling and other questionable type projects.
Position: Data Scientist
Category: Python
Experience: 2.5 years | English: upper

Gold medal at school, diploma with honors
But my main achievement, which I will continue to work on throughout my life, is my skills, because I can do almost the entire cycle of an ML model:
- descriptive data analysis;
- data processing (cleaning, normalization, etc.);
- selection of algorithms for further data use;
- building a model of classical ML (classification, regression, clustering), classical CV (segmentation, object or shape boundary detection) or DL (classification, object detection), model evaluation;
- use of existing models (segmentation, creating or modifying images, etc.);
- providing business reports on results, benefits, etc.
Python computer vision engineer
December 2020 - current moment
(August 2023) (2y 9m)

My duties include:
- development and improvement of code logic;
- retraining models of object detection (yolo models) and photo classification for better accuracy, adding augmentations;
- application of classic methods, such as segmentation, finding lines or borders in photos and videos;
- using other modules such as MMPose, MMSegmenation, PaddleOCR, Stable Diffusion.
I expect an interesting project with a pleasant team and a lot of R&D.
Position: Data Scientist
Category: Python
Experience: 0.5 years | English: intermediate


Python & C++, SQL Tutor
Provided in-home and onlineeducational support (private
lessons) for pupils and students
Freelance / NDA Project

Jun - Dec 2022
I worked as a Backend developer in a small team to develop
a forum for a game server. Gained teamwork and GIT skills.
Used Python, REST Framework, Git, SQL