lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

I successfully led a data-driven project that resulted in a significant increase in customer retention for a leading e-commerce platform. By analyzing user behavior data and implementing targeted marketing strategies, we were able to reduce churn by 20% within three months. Through extensive data modeling and segmentation, we identified key customer segments and tailored personalized offers to address their specific needs and preferences. The implementation of these targeted campaigns led to a 15% increase in customer engagement and a 10% rise in repeat purchases. This accomplishment showcased my ability to use data-driven insights to make informed business decisions and drive tangible results for the company's growth and success.
In my professional journey, I have utilized a range of technologies, including Google Suite, JavaScript, SQL, HTML, C++, Microsoft Office, and Tableau, showcasing my versatility in handling diverse technical tools. Currently, I am working as a Data Analyst Intern at Internally.co, where I collaborate with a 3-person data team, taking charge of all data-related tasks for the company. My role involves gathering and recording data daily by observing users' compliance with Standard of Operations (SOP). I implement data collection systems and analytics to optimize efficiency and quality in the provided data set.
As a member of the data team, I analyze trends in data sets using various data visualization tools and prepare data for further investigation and interpretation. I am dedicated to continuously improving my skills and staying up-to-date with emerging technologies in the data analysis field to ensure I deliver valuable insights and meaningful contributions to the team and organization.

In my next career opportunity, I aspire to assume a more significant role within the team, potentially taking the lead on data analysis projects and collaborating closely with cross-functional teams to address complex challenges. I am eager to further enhance my technical prowess and expand my knowledge of advanced data analysis methodologies, including machine learning and predictive modeling. I seek a role in an environment that fosters professional growth, offers remote work flexibility, and values innovation, where I can apply my expertise and contribute to the success of data-driven initiatives.
My expectations for a data analysis role include opportunities for growth, impactful insights, a collaborative remote team environment, and meaningful projects and contributions. I firmly adhere to ethical data practices and am not willing to engage in any activities that violate privacy laws or ethical standards.
Position: Data Analyst
Category: SQL
Experience: 3 years | English: fluent


In my role as a Data Analyst at OnPoint Insights LLC in Boston, I specialized in extracting data from the company's database and creating customized business dashboards to meet specific organizational needs. My expertise includes proficiently using visualization software such as Tableau and Power BI for interactive dashboard development. Additionally, I ensured data accuracy and readiness for analysis by performing necessary data preprocessing using PostgreSQL.

I have a proven track record of not only extracting and cleaning data from databases but also harnessing this data for in-depth analysis. This analysis served as the foundation for creating insightful dashboards and predictive models that aided in data-driven decision-making processes within the organization. My experience in these areas has equipped me with the skills to transform raw data into valuable insights, contributing to data-driven success.
Position: Data Analyst
Category: Support
Experience: 5 years | English: upper


In my role as a Data Associate at IndexBoard, I was responsible for ensuring the accuracy and quality of data used for various purposes, including analytics and reporting. The project aimed to clean and improve the quality of our data assets.
As a key member of the data team, I played a critical role in data cleansing, data validation, and quality control processes.
Tasks Completed: Conducted data cleansing tasks to identify and rectify inaccuracies, inconsistencies, and duplicate records in our databases.
Developed and implemented data validation checks to ensure incoming data met quality standards.
Collaborated with cross-functional teams to define data quality requirements and establish data governance best practices.
Created automated scripts in Python to streamline data validation and cleansing processes.
Maintained documentation on data quality procedures and provided training to new team members.
Technologies Used: Python for scripting and automation, SQL for data querying and validation, and data quality management tools.
Challenges Faced: Dealing with large volumes of data from various sources and maintaining data quality standards while meeting tight deadlines were significant challenges. Additionally, ensuring data security and compliance with regulations was crucial.
After some time the results were seen. The data cleansing and quality improvement efforts resulted in a 30% reduction in data errors and improved data accuracy. This, in turn, led to more reliable analytics and reporting, contributing to better decision-making across the organisation.
Position: Data Analyst
Category: Business Analyst
Experience: 2 years | English: fluent


In my role as a Product Analyst, I was responsible for conducting market analysis for Home Appliances products, including Refrigerators and Microwaves. I utilized data cleaning and wrangling processes to evaluate trends and gain insights into the market. I also prepared weekly Sell-in/Sell-out reports, which included sales data by weeks, cities, retail channels, and products. This helped me develop strategies to improve product performance and market share.

I also presented market insights to the team, including analysis on market share, competitor strategy, price, and promotion activities. I was also responsible for designing and maintaining a database of brand promoters and bonus compensation. Additionally, I performed weekly product brand zones display analysis to track product performance.

The technologies I used in my role included Microsoft Excel, PowerBI, and MySQL. These tools were essential for data analysis and presentation of insights

Going forward, I would like to improve my skills in data visualization and presentation. I would also like to gain more experience in using data analysis tools to identify trends and insights.
I expect to be given opportunities to take projects and tasks that will increase my professional level. I am confident that my previous experience and technical skills will be valuable in my role, but I am always eager to learn and grow professionally.

I also expect to work in a positive, collaborative environment where I can share my ideas and receive feedback from my colleagues. I believe that open communication and teamwork
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

Achievement
Excel Fundamentals for Data Analysis - Coursera (27.11.22)
IBM-Excel Essentials for Data Analytics - Coursera (09.09.22)
MS Excel Analyzing and Visualizing Data - UDEMY (03.09.22)
MS Excel (Zero to Hero in Microsoft Ecel) - UDEMY (29.07.20)
MS Power BI (Data Analytics Essentials) - UDEMY (27.07.20)
Google Ads Apps (30.05.2020)
Google Analytics for Power Users (25.05.2020)
Advance Google Analytic (23.05.2020)
Google Digital Garage - The Fundamentals of Digital Marketing
Asan Service - 2016 (1st Degree)
Ministry of Taxes- 2018 ( 1st Degree)
BCC - Baku City Circuit ( 2016-CCW, 2017-AAD, 2018-HR )
MİRF (2016-2018) - SAT Forum (2017) Human Resources Organisation
team
AISGOC - Baku Islamic Solidarity Games- 2017
(AAD-Team Leader), (Body Language, Discover yourself, Leadership
and management and etc)
In my three years of work experience, I worked in a variety of fields. As my first job, I worked as marketing and organizational, enumerator at Coca-Cola, then marketing and sales manager, ERP operator-data entry, register, and HR specialist - data analyst at different companies. 
Jobs descriptions: 1) Determining the youth entertainment segment, conducting competitor analysis, and making procedures to achieve market advantage.
2) Loading Coca-cola products from warehouse to machines and counting
them.
3)Defining the customer segment in the market and implementing the sales
process of school supplies products.
4) Entering information about projects into the database (MS Access, Excel and
Power BI) and informing about the necessary equipment for the work to be
done by the company.
5) Processing information about patients fighting with Covid-19 into the
system and performing the procedures determined by the doctors related
to them.
6) Collection of information on employees, control of the database,
preparation of tabular reports.
In my new workplace, I wish the collective to be hyperactive in order to ensure that jobs are constantly dynamic and any outcome is ensured.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


In Nemiroff I worked on many processes: planning and forecasting production, forecasting sales,  preparation data and reporting for sales team, developing instruments for tracking motivational program for sales team and employees of different levels, calculation trade-marketing KPI's, developing data models and dashboards, created system for creating and operating with routes of sales team. I use Excel (also VBA), SQL, PowerBI, Python (know libraries Pandas, Numpy, I know what to google on scikit-learn :), learn C#. Recently I was mainly PowerBI-specialist but also I did projects on another directions. In future I want to be analyst, who can understand the processes and made pipeline independently, will create analytics-system with help of technical tools . I want to convey business insights in a clear and interesting way using visualization and storytelling methods
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper

Accomplished Data Analyst with extensive experience in predictive modeling and data processing algorithms, as well as scripting language including python. Capable of Providing actionable business intelligence to support strategic initiatives and implement the solutions derived to improve return on investment.
Innkeeper’s Hub | Data Analysis Facilitator
 Developed a comprehensive curriculum covering the fundamental concepts and skills in data analysis,
including the selection of appropriate resources, textbooks, and software tools.
 Conducted engaging and informative lectures, demonstrations, and discussions to introduce and elucidate data analysis concepts and techniques.
 Cultivated a positive and inclusive classroom environment to promote learning and participation.
 Designed and administered assessments, such as quizzes and projects, to evaluate students' comprehension and progress.
 Actively participated in professional development activities, such as attending workshops, conferences,
and webinars, to enhance teaching skills and expand knowledge in the field of data analysis.

QLib Package | Python Developer
 Implemented the Python programming language and various Python packages to develop the QLib library.
The primary objective was to simplify data analysis and preprocessing tasks.

NeoDocto Inc. | Data Analyst Associate
 Collected and organized data from diverse sources, ensuring accuracy, consistency, and completeness.
 Identified and resolved issues related to data quality to maintain high data integrity.
 Utilized statistical techniques and data mining methods to analyze extensive datasets, including conducting
exploratory data analysis to identify trends, patterns, and relationships.
 Conducted quality checks on data analysis processes to ensure the accuracy and reliability of results.

Freelancer | Data Scientist
 Collaborated with diverse clients to comprehend their business objectives and translate them into data
analysis projects.
 Conducted exploratory data analysis, data preprocessing, and feature engineering to effectively prepare datasets for modeling. 
 Developed and deployed machine learning models for predictive analytics, customer segmentation
 Fostered collaboration with cross-functional teams to seamlessly integrate data science solutions into
existing workflows and systems.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


Innovative, highly organized, forward-thinker, ready for challenge, executive offering smooth
group leadership for different course projects in the areas of Information Technology. Good at
Problem solving, Communication, Team work, Requirement Elicitation and Leadership.
I have a comprehensive understanding of Data Analytics and the full lifecycle for software
development projects. I also have experience in learning and applying new technologies as
appropriate.
Tools :SQL Developer, Toad for Oracle, EFICAZ 4.x,ODI, OBIEE, PowerBI,
Tableau, Oracle RAC, ASM , Oracle WebLogic, Shell scripting, MS Visual
Studio, Android Studio, Dart Programming, Sublime, Camiliyo, Net Beans,
Jupyter
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


In previous roles, my duties included:
- automated collection of data (e.g., web-scraping with BS4 and Selenium)
- data management
- analysis, and modeling (e.g., multivariate modeling and Machine Learning)
- data visualization, and presentation. 

I performed as a project lead/coordinator, and routinely developed recommendations/policy options for stakeholders based on the analysis. 

In terms of technologies, I am mainly using Python, R, Qgis, SQL. Also, I was working with Excel, Stata, Tableau, and other visualization tools.

With a background in social science and academic research, I often worked with open data and administrative records, such as public procurement data.

Additionally to working as a data analyst, I am developing and delivering courses/workshops about statistics, data analysis, visualization, and programming.
Especially interested in projects in education, healthcare, and other data-driven projects that use data analysis for social good.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate

ML: Implement Probabilistic Models (lifetimes library) for LTV Prediction. 
DL: Deep Forecasting of Multivariate Time Series (Darts Unit8’s library).
Integrating devtodev analytics platform, connecting Mobile Attribution services (AppsFlyer, Adjust, Branch, Singular), collaborating with sales, technical and service departments, and solving all kinds of integration problems. Game metrics analysis with the devtodev. Calculating metrics with PostgreSQL. Users segmentation, cohort analysis (the vectorization and clustering of individual user trajectories with Python). Machine Learning: Using Git, Bash, Python with Jupiter Notebook (Colab Pro env).
Analytics platform integration project. Analysis and Predicting key project metrics.
Position: Data Analyst
Category: Python
Experience: 0 years | English: intermediate


Interested in such fields: Data Analysis, Big Data, Python Developing, DB developing, Android Developing

Also can participate in another interesting fields.

Experience in python: NumPy, Matplot, Django, Pandas.

Finished db camp(SSDT,SSMS,Hadoop,Kafka,ETL)

Experience in projects :

Project Name: Arduino Checkers
Project Description: Unusual game with a robot(manipulator). Client can compete, using smartphone and manipulator(opponent) displays all the moves on a board. 
Project consists of three parts: manipulator, game algorithm, mobile game.
Involvement Duration: 3 month
Project Role: Android Developer
Responsibilities:  
•	JSON requests using Volley library
•	UI
•	Game Logic using Java
Tools & Technologies: Android Studio, Arduino, C++, Java, Trello
Project Team Size: 6 team members
Year: 2018

Project Name: Attendance App
Project Description: An app that checks student's attendance. Student needs only to bring his student card to a camera and data will be sent to lecturer in Excel table.
Involvement Duration: 1 month
Tools & Technologies: MIT App Inventor, Firebase, Google App Script, Google Sheets
Project Team Size: 1 team member
Year: 2017
Position: Data Analyst
Category: SQL
Experience: 5 years | English: intermediate


Interesting: Data Analyst/Python developer/Data engineering

PostgreSQL: 7 years
Python (Pandas, Xlswriter, Openpyxls, Seaborn etc): 2 years
Pentaho BI, Grafana, Power BI, Metabase: 1-3 years
Excel  7 years
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


Interpret data, analyze results using statistical techniques and provide ongoing reports. 
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical
efficiency and quality.

Identify, analyze, and interpret trends or patterns in complex data sets. 
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. 
Work with management to prioritize business and information needs. Locate and define new process improvement opportunities

Preparation and analysis of daily, weekly, and monthly sales
reports. 
Visualizing sales change and presenting it to the
management. 
Physical stock check and book-to-book reconciliation tasks as
required. 
Generate and analyze inventory reports and diagnose the
cause of inventory variances
Assisting and guiding students with academic consultation. 
Evaluation of assignments and delivering feedback. 
Answering the questions of student on statistics and
statistical anaysis tools
Position: Data Analyst
Category: Python
Experience: 1 years | English: pre


In the past, I worked as a Data Analytics Intern, and currently, I am employed at Smart Solutions as a Data Analyst. Due to confidentiality reasons, I cannot disclose specific details about my current role and projects.

During my previous experience as a Data Analytics Intern, I was involved in various projects and tasks. I worked on data analysis and interpretation, utilizing statistical techniques and data visualization tools. I also assisted in data cleaning and preprocessing to ensure data accuracy and reliability. Additionally, I collaborated with the team to identify key insights and trends from the data, which helped in making informed business decisions.

As a Data Analyst at Smart Solutions, my role involves working closely with the team to analyze and interpret large datasets. I utilize various data analysis techniques and tools to derive meaningful insights and provide actionable recommendations. I am responsible for creating data visualizations and reports to communicate findings effectively to stakeholders.

In terms of improvements, I am constantly seeking opportunities to enhance my technical skills and expand my knowledge of data analytics methodologies. I aim to stay updated with the latest advancements in data analytics tools and techniques to ensure efficient and accurate analysis. Additionally, I strive to improve my communication and presentation skills to effectively convey complex data insights to both technical and non-technical audiences.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: pre

In my previous job, I solved conflict situations with clients, as a result of which I reduced the amount of work for another department
in the past I worked as a manager in the field of consulting in Retail
In my position I provided  informational support to clients,
processed/confirmed orders and provided informational assistance to the company's restaurants.
Now I have completed courses on some analytical tools (SQL, PowerBI) from Data Camp and plan to develop in the field of Data Analytics
Work for free in my off hours
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


In the past year I worked for Huawei Technologies in the wireless communication department. My main role was to collect data like link utilization, error, capacity,KPI and threshold values and work on analysis to identify the root cause and propose solutions for better performance. I mainly use Microsoft excel for data analysis projects and currently am employed at Nokia. Lastly what i want to improve as a data analyst is the quality and time taken to finish a project.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


Introduced PowerBI to department 
Created metaheuristic algorithm for p-hub location problem
Analysed reviews of “Steam” app using NLP and ML
Improved Local Search algorithm by collecting and testing metrics using ML and data engineering for Vehicle Routing Problem
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

Tesseract-based recognition system. Manual and automatic data processing.
Inventory, database development and implementation of a warehouse control system. Development of a system of automatic responses to letters with automatic preparation of invoices and quotes.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


- Investigated gender inequality in engineering in Azerbaijan. Created data through conducting survey with high school students, college students and parents. Analyzed and visualized the collected data for representing to Ministry of Education.
- Analyzed and presented the data collected from international educational assessments such as PISA, PIRLS and TIMSS as a country research coordinator.
- Investigated the competitiveness issues between female and male employees in the current job market. Used the tools as R, SQL and PowerBi.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


Involved in Sales Funnel Optimization 2018 Project as the data analyst.Analysed the data of 5000+ customers’ journey on the sales funnel.Used the analysis to identify the possible improvements and programming using R studio
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


I possess 3+ years of professional experience in the filed of Data science.  

*As a machine learning engineer at ATL TECH i have been involved in collecting, cleaning and transforming data by using Python prograaming language. Trained Tacotron Text-to-Speech System(TTS) with custom speech dataset.Researched and applied evaluation metrics for comparison of TTS systems.
Visualized results and performed data analysis of models which were published in International open- access scientific journal Symmetry.

*Currently i am working as a data analyst in banking sphere within the Consumer Experience tribe enhancing customer activation and retention strategies.
Position: Data Analyst
Category: Lead Generation
Experience: 1 years | English: intermediate


I provide the following services:

- Market research
- Lead Generation
- Update Database
- Link Building
- Data Mining
- Data Entry
- CRM
- Building contact information list
- Update bounced and incorrect emails.

I have experience in researching such industries as: IT, Financial Services, Events, Brands, E-commerce, Hospitality, Furniture and others.

I use the following tools: Linkedin Sales Navigator, Name2Email, QuickEmailVerification, ZoomInfo, Hubspot, Snov.io, Apollo, SignalHire and others.

Feel free to contact me and I will be happy to discuss the details of your project!

Best regards
Yevhen