lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


(7+ years of experience). Please refer to my linkedin profile for further details.
I gained vast experience in payroll administration, invoicing, cost reporting, journal entries and tax reporting both in public sector and the world’s leading engineering companies where I became proficient user of a large range of data management systems and software including Excel, ERP and Oracle. Massive amounts of information have been an integral part of my job during my career. For example; each timesheets contain of a number of project codes, cost centers, member IDs, employee names, project hours, booking dates, submission, approval dates etc which requires high competency and analytical skills while extracting report for any reporting period. Sometimes it took more than thirty minutes to extract thousands of timesheets data from the system due to the volume of the data in order to prepare cost reports, payroll reports and other types of management reports. My strong analytical skills and being professional Excel user succored me at those critical times. In addition, I have excellent communication skills which my positions required from me to ensure me success at working in multinational environments. My ability to work well in a multinational team has been demonstrated in a number of group projects.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


- 8+ years of industrial experience in data-related projects.
- 2 years of experience in predictive analytics and machine learning: regression, classification, clustering.
- 2 years of experience in deep learning and computer vision: classification, object detection, object tracking, classical CV.
- 2 years of experience in OOP, projective geometry, image processing, optimization, linear programming.
- 4 years of experience in data engineering, business reports development, and visualization.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: pre


A bit about myself:
In 2013, I started working as a technical support specialist in the hosting provider company Megahoster.Net. 

Gradually, I started getting deeper into the tasks of system administration and programming and worked on a huge amount of various issues in this field.

During my work I faced code errors, inefficient and redundant code, and routine tasks which could be optimized - it drove me to start studying programming and I started getting into several programming languages which were necessary to solve issues(PHP, JS, Python).

Also, I passed courses on Computer Hardware and Computer Science, during that time I was studying C through a classic book by Kernighan and Ritchie "The C Programming Language" as a language close to programming hardware. I did enjoy the straightforward approaches and the language.

I like automating things and doing my work I follow the UNIX paradigm of making small and efficient tools.

At this time, I actively study math and take courses in math and machine learning.

I'm looking for a Junior Data Scientist position.

Administration:
- DirectAdmin, ISPmanager, Vesta
- Optimizing web services based on Apache/NGINX - PHP - MySQL/MariaDB
- Node.js + PM2
- Network Administration: setting up firewalls, OpenVPN
- Virtualization: Proxmox (KVM)

Development:
Front-end design:
- HTML, CSS
Fron-end development:
- JavaScript, TypeScript
- React, React-Native, React-Redux, 
- Next.js
Back-end development:
- Python
- Node.js
DBMS:
- MongoDB, PostgreSQL, MySQL

Projects:
Megahoster.net
- whois.megahoster.net — lightweight whois service
- Automatization business processes with Selenium
- Implementing small features on PHP,JS,CSS

Other:
- koa-body-images in npmjs
- libGDX + JAVA = Zikky: First Adventure in google play. Just for fun
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


About 1 year as Data Analyst in product company

- Responsible for developing and bringing to production ML models for classification tasks.
- Monitoring,analysing and improving models
- Working closely with product/dev team to gain valuable insights from data.
Developing and improving ML models for different problems.
Writing back-end part for serving models in production.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

Kindly check my LinkedIn
 1. 1st Place Position AI Hack Tunisia 2022
2. Won the 1st position in the data category to solve health problems.
3. 
2019 Axa Mansard Best participant in Insurance Hackathon(1st Position)
4. Won 2nd place position solving NFT's challenge using Natural Language Processing.
About me:
Hi, I'm Nasirudeen, an experienced data scientist who loves solving health and financial problems. I have been able to work in a financial institution by building a sustainable machine learning model to increase customer satisfaction and solve a global health hackathon predicting the likelihood of a patient diagnostics test being negative or positive using responsible AI. I'd love to solve various health and financial-related problems to improve the well-being of humanity by decreasing the infectious diseases ratio, early fraud detection models, helping reduce maternity care failure, reducing gender-based violence and crime rate. I am skilled in using various data science tools like Statistics, Python, Pandas, Numpy, matplotlib, Lime, Shap, Twint, Spacy, and NLTK and have good data analysis skills from univariate, bivariate, and multivariate analysis, sound statistical analysis background, and business-oriented personnel.
1. implementing customer segmentation model(Kmeans and RFM) for improved business strategy, unveiling individual and group identity
2. AXA employee churn prediction model
3. Won the 1st position in the data category to solve health problems.
The solution determines the likelihood of an individual diagnostics test is positive or negative using machine and interpretable machine learning (Explainable AI).
4. Won 2nd place position solving NFT's challenge using Natural Language Processing
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

- Developed and deployed a driver behavior estimation model that can accurately estimate user driving and identify potentially dangerous events in real-time.
- Designed, developed, and deployed a predictive maintenance model that provides crucial car maintenance recommendations based on detailed analysis of vehicle data.
- Created a proof of concept for a car bumping detection model that can detect and alert users of potential collisions.
- Built a GPS filtering model that effectively removes noise from GPS data in real-time.
- Built an ML model that proposes the optimal path for a driver, taking into account fuel consumption to help users save on gas.
- Co-designed and developed a user verification model based on pictures, ensuring reliable user authentication.
- Built a churn prediction model for banking data, helping the company retain customers.
- Served as a part-time backend developer for a startup platform, contributing to the development of their platform.
- Mentored new team members.
- Conducted extensive research, reviewing papers and creating proof of concept models for possible automotive, locating, dentistry, and interior design projects.
- Kaggle Notebooks Master
- Bronze medal for Google QUEST Q&A Labeling Competition (Kaggle)

My main responsibilities: exploratory data analysis, paper analysis, data cleaning, data preprocessing, machine learning and deep learning model training and tuning, error analysis, and model deployment.
ABOUT ME
I am a data scientist with 4+ years of experience, specializing in data exploration, processing, and building ML and NN models. My work has been focused on the automotive industry, but I am always eager to learn and take on new challenges. I approach my work with passion and a strong work ethic, with an ability to quickly adapt to new situations. Overall, I am a motivated and skilled data scientist who is eager to take on new projects and advance my knowledge and skills.
-----------------------------------------------------------
MY SKILLS
Approaches: linear models, SVM, Decision Trees, Random Forest, Gradient Boosting, k-nearest neighbours, PCA, MLP, CNN, RNN (LSTM, GRU), GAN, Transformers

Tasks: image classification, image generation, time series forecasting/classification, clustering, sentence classification

Technologies: python, pandas, numpy, pytorch ,tensorflow/keras, scikit-learn, xgboost, lightgbm, transformers, plotly, matplotlib, seaborn, streamlit, FastAPI, Django REST framework, PostgreSQL, Docker, Docker-compose, Gitlab CI/CD, AWS
I'm open to all interesting opportunities
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


A Data Scientist with a touch and some experience in developing software. Transform your business with great intelligence at a data speed, with the smartest data-driven innovations, challenging perspectives finding & taking new opportunities.
Luther Pamba is the catalyst that brings your brand, stakeholders, data, and decisions together to build and deliver better products and create delightful customer experiences, resulting in accelerated revenue, growth, and impact.

I am a hybrid multi-cloud data scientist with a rich background and expertise in data product management, business intelligence, data science, machine learning, and software engineering.
My goals and efforts are always to make sure your enterprise uses cutting-edge data-driven AI technologies which includes adopting the best data infrastructure architectures and following the four steps of the AI adoption ladder(Collect, Organise, Analyze, Infuse) to infuse AI into the enterprise resulting to :
~100 times faster data reporting.
~20% revenue increase.
~80% reduction of operational costs.
~25% reduction in churn rate.
~77% improvement in customer support experience.

 Helping bridge the technology skills gap for the underserved talents in Kenya and globally is my top priority agenda.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


A Data Scientist with data analysis skills. Can manage full life cycle data science projects from business understanding and data representation to deployment. 
Has Computer Vision experience - Object detection, segmentation, and tracking using OpenCV or Deep Learning frameworks (Tensorflow, Keras). Has a strong general computer science background. Has worked on Machine Learning tasks, using Scikit-Learn, Matplotlib, SciPy, NumPy, Pandas, and others.
Has experience with data visualization using tools, such as Matplotlib, Seaborn, Bokeh, Plotly.
Looking forward to join a team of like-minded Data Science specialists. Prefer Computer Vision or classical Machine Learning projects.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

Bachelor's degree in Phyiscs.
After earning my bachelor's degree in physics from Yerevan State University, I worked as a freelance web developer for about 2 years. Currently, I am enrolled in a Machine Learning course with Armenian Code Academy where the main courses are Calculus, Python, and Machine Learning. Working on test projects to get some experience.
I am looking for an entry-level position (or internship) in Data Science and Machine Learning. I will be happy to work on different projects and tasks in the world of Data, preferably in a position where I can learn and enhance my knowledge of Data Science and Machine Learning.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


After graduation from university, I worked as a back-end developer in various companies. I mostly used C++ and Oracle at that time.
For about eight years, I worked as a database and backend developer for an American company. It’s called “Decisions”. I was a part of a distributed team that was creating a great business process automation software. My duties were to support different database types ( such as MSSQL, MySQL, Oracle, Azure), make sql-scripts, implement code for dynamic reports and queries. I built the entire ORM layer of the system using .Net platform. 
On maternity leave, I started studying data science. As a database developer, I was always dealing with data, and as a math lover wanted to solve statistics tasks. 
I’ve completed two specializations in coursera. The Data Science Specialization contains ten courses and covers the concepts and tools for entry data science pipeline. The specialization “Python Development” includes four courses and opens how to use Python for data analysis. Also, I’ve completed “Python for Data Science and AI” course and “Open Machine Learning Course”. Now, I’m studying a neural network in “Complete TensorFlow 2 and Keras Deep Learning Bootcamp” by Udemy. 
So, I've decided to dive into data science as my next career step, and presently I'm looking for a data science position.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


After graduation, I worked as a Business Data Analyst in Otsimo Software Inc. where we aimed to provide special kids with autism, dyslexia, and etc. with AI integrated games apps. I was responsible for doing data analysis using SQL and Python for visualizing data and gathering insights from it. I have started to be more interested in Data Science in Otsimo. At the same period of time, I started to be a trainer in Datacity Inc. at Azerbaijan for the Mathematics for Data Science, SQL and Statistics to undergrad, grad students and professionals in the business life from various fields like economics, finance and software. 

Next, I worked as a Project Management Executive at n11.com which is one of the leaders in the e-commerce business in Turkey. I worked with software, data science, machine learning, data warehouse, data engineering and IT teams for managing the process of Python, SQL and mathematics based recommendation engine projects by using Scrum and Agile methodology. 

Currently, I have been remotely working as a Data Scientist in Soostone and Well Dot Companies which are based in the USA. Here, I have been working with SQL for accessing and manipulating data, Python for dealing with dataframes, creating Machine Learning algorithms and models, evaluating model outputs, using AI methodologies and managing data pipeline processes, and linear algebra for using the algorithms efficiently. The statistics and mathematics are the significant elements that I use in my job for performing Machine Learning integrated data models. In my opinion, the kmeans, evaluation scores, neural networks, and etc. algorithms that I use as a Data Scientist require me to be expert in Big Data and Analytics. Therefore, I try to improve myself everyday by taking online courses, reading essays and doing researches.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

As a passionate and self-motivated data scientist, I have accomplished several noteworthy achievements despite having no prior experience or a formal degree. Here are the specific details of my accomplishments:

iFood CRM Analysis:

Dataset: I took on the challenge of analyzing a massive dataset from iFood CRM, which encompassed extensive customer information, order histories, preferences, and related data.
Techniques: Through self-study and exploration, I applied a range of data analysis techniques to extract meaningful insights from the dataset. These techniques included data cleaning, exploratory data analysis (EDA), statistical analysis, and data visualization.
Insights: During my analysis, I unearthed valuable insights into customer behavior, purchase patterns, popular food choices, regional trends, and any other relevant findings that could benefit iFood's business strategies and decision-making processes.
"Safe City" Analysis:

Dataset: I tackled the analysis of a dataset associated with the "Safe City" project, which involved data collected from "Register of violations of the 'Safe City' project"

•Analyzed the "Safe City" project violation dataset( 73149 recordings) which included information such as car brand, model, violation date, crossroad name, violation protocol name, and violation amount.
•Conducted exploratory data analysis to identify patterns and trends in the data.
•Generated insights on the most common violations, car brands and models involved in violations, and the average violation amount. Find out that Toyota was most fined brand

Self-taught: With unwavering determination, I pursued knowledge and skills in data science through self-study, demonstrating my ability to learn independently and acquire expertise without formal education.
Tools and Technologies: I proficiently utilized programming languages like Python and R, as well as essential data analysis tools such as Pandas, NumPy, and SQL. This showcases my familiarity with industry-standard tools and my ability to apply them effectively in real-world scenarios.
Learning Resources: To expand my knowledge and hone my skills, I actively engaged in online courses, tutorials, books.
Such as Coursera, Introduction to Statistical Learning
A highly skilled and motivated Data Scientist with overall 2 months in telecommunication industry experience. Proficient in applying advanced statistical and machine learning techniques to extract insights and drive data-informed decision-making. Good programming skills in Python, with expertise in data wrangling, exploratory data analysis, and predictive modeling. Demonstrated ability to develop and implement innovative solutions to complex business problems using cutting-edge tools and technologies. Excellent communication and collaboration skills, with a proven track record of delivering actionable insights to stakeholders. Committed to staying abreast of the latest trends and advancements in the field of data science to continually enhance analytical capabilities and drive organizational success.
Position: Data Scientist
Category: Data Engineer
Experience: 2 years | English: upper


A junior data engineer with two years of experience. Well-versed in database design, SQL, Object Oriented Programming, python, and data warehousing. working knowledge of spark, airow, kafka, and the Data Build Tool. Capable of developing ETL pipelines, machine learning modeling, data processing, data visualization, and Dockerization.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent

3rd place in HackPrague hackathon.
Almost 3 years of commercial experience in data science: junior data scientist in AKKA (project for ŠKODA), data scientist in Porsche Engineering Services for 2+ (Architecting ML solutions, anomaly detection in time series, interviewing new candidates, managing newcomers, data visualisation and interpretation of the outcome). Bachelor’s degree in Knowledge engineering in the Czech Technical University in Prague (Faculty of information technologies), master’s in progress
I don’t want to work on DevOps solutions, deploying ML architectures and anything else that doesn’t involve either statistical or ML training.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

The finalist of the international competition Data Science Game, which was held in Paris
EMBnet member and participant in the summer school of big data, which was held in Athens
Graduated from KNURE B.Sc. "Computer Science". Graduation thesis: "Pneumonia classification & detection"
Almost two years of experience as a Data Scientist.
ApexQubit, USA. Drug design startup.
Hebrew University of Jerusalem, Agriculture Faculty, Israel Rehovot. 4 month grant.
Technische Hochschule Wildau, Germany Berlin. 2 month grant.
MasterMind Inc.(mmi.ai), Ukraine Kharkiv. 8 month. Recommendation system, nlp, forecasting.
SSA group. 3 month. NLP.
skyeng churn prediction(freelance).
Data Science mentoring.
Kharkiv national university of radioelectronics. Research, seminar lecturing.
Many machine learning competitions.
I'm expecting great and interesting problems to be solved from the job.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: upper


A lot of implemented and deployed Data Science projects, such as:
- Question Answering engine
- Neural networks optimization for mobile devices
- Text Generation
- PDF documents validation platform
- QA chatbot
- Job matching platform

Classical Data Science and Data Analysis experience. Programming languages Python and Java.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


A management consultant with 9 years of experience, of which around 1.5-2 years are in data-driven operations.
I'm skilled in data analysis (Excel, Python) and visualization (PowerPoint, Tableau). I can build classification / regression models in Python. This includes conducting time-series forecasting using a ARIMA / SARIMAX models.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


AMLBot	Kyiv, Ukraine
•	Analyzing transactions of crypto projects on the Binance Smart Chain to create network graphs and deanonymize all participants.
•	Simulating transactions on DEXes for stabilizing stablecoin.
•	Simulating trading bot operations to increase the reserve of algorithmic stablecoin.
•	Creating an instrument to analyze transactions on EVM-compatible blockchains using Streamlit/Flask
•	Creating a model to classify text inside of pdf files using BER

MHP SE Kyiv, Ukraine
• Development and implementation of an automated scaping algorithm to extract commodity prices from multiple
websites.
• Determining the success factors of outlets and building scoring models for outlets using logistic regression.
• Determination of the optimal product matrix of goods within the outlet applying association rules.
• Microclimate optimization in poultry farming and development of web-application in streamlit.
• Applying natural language processing model to classify product names
• Visualization of microclimate parameters for all cultivation farms using Power BI.

Crypto Briefing:
I worked in a team of two analysts who were engaged in an in-depth study of blockchain projects to rate them from an investment point of view. I wrote detailed articles on crypto companies and then the company published them on the official website. In addition, I made a valuation model of the Binance Coin coin based on its use cases to estimate its future value within the next 3-5 years.

Attic Lab: I worked in a team of two analysts who were looking for attractive ICOs from an investment point of view. The ICOs selection was carried out according to a specific methodology. If the blockchain project met certain requirements, then we could make a decision on the feasibility of investing in such blockchain projects.

Additional duties:
- assessment of blockchain projects to list them on the crypto exchange.
- performed tasks on market analysis and visualization of relationships between certain factors in the crypto industry using Tableau.
- market analysis of cryptocurrencies based on the PoS consensus algorithm to assess their profitability.

KPMG: I worked in a risk management team, which consisted of 7 people. The main project I worked on was building the default rate models of bank portfolios. I used the R Studio program and applied a linear regression to solve the time-series problem.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


Analizing and preparing data of CPG companies. Building forecasting models for CPG field in Python (Pandas, Numpy, SqlAlchemy). Working with SQLite DB.  
Analysis and preparation data for ML projects. Building ML models.