lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Head of Customer Support / Success
Category: Support
Experience: 5 years | English: upper

I have a lot of interesting and successful experience as a teams lead in customer support, customer success, sales departments. 
That's why I'm looking for an interesting challenge.
2016 - Launch new analytical tool for digital media. SaaS StartUp. 
Daily tasks:
- Hiring and onboarding new team members  
- Managing up to 10 team members
- Deep customer interviews, webinars and trainings
- Upselling processes
- Customers supporting, onboarding, training and retention 
- Penetration in CIS and WW market
- Working on LTV, ARPU, Churn, daily active users, and other metrics  


2019 - B2B customers from 60 countries
- Automated customer relationship process  
- Built Customer Success and Support departments from scratch
- Net Retention Revenue more than +2% per month
- Customer lifetime value improved from 6 to 14 month
- Payback of CAC less than 3 month
Looking for a company with StartUp's madness and huge ambitions.

Product or mission that related to me.
Hard tasks, high speed, data-driven processes and team with believe in company mission.
Position: Head of Customer Support / Success
Category: Support
Experience: 7 years | English: fluent

• Hiring staff and Building a team from scratch for 24/7 coverage
• Staff recruitment and onboarding
• Staff management and development
* Hiring and onboarding staff for 24/7 coverage. Staff management and development
* Creating and documenting new procedures, gathering feedback on the processes, and applying changes to
workflow when necessary
* Dealing with prioritization of reported incidents. Reporting and escalating internal and external incidents
based on guidelines
* Setting goals for the team that are in line with the department and company goals, ensuring the required
performance targets and deadlines are met
* Schedule creation and meetings planning
* Operational management. General supervision of the shift to ensure all processes are running smoothly 
* Managing the workflow on shifts, including balancing the workload 
* Informing the clients about any issues which impact the site/products performance 
* Working with customers’ feedback, dealing with complaints, and providing appropriate compensation
*  Updating external client knowledgebase and internal documentation 
* Monitoring, assessment, and feedback on team progress and performance; providing regular feedback to the staff on meetings; setting goals for more efficient work. Gathering and analyzing Net Promoter Score data 
* Organizing presentations, workshops, and training events. Staff coaching 
* Communication with team and management on task completion, timelines, and results. Conflict resolution
Working with an established team or hiring a new one from scratch to achieve the company goals
Position: Head of Customer Support/ Support Quality Control
Category: Support
Experience: 11 years | English: fluent


Established and improved Customer Support Service that enabled company’s revenue and profit growth through excellent user/client experience and automation of internal and external processes. Eager to join a company as a Customer Support Lead or Head of the Unit. More than 10 years of experience in customer service management; 3 years as a Head of Customer Support Department in product company. Proactive and always ready to roll up the sleeves to provide the highest service for business, customers and the team.
Position: Head of Customer Support [Technical Support]
Category: Support
Experience: 9 years | English: upper

Reduced average response time across all markets by 1000%;
Developed KPI model based on data and company revenue growth;
Brought team ROI to more than 300%;
Increased LT and ARPU by 30%;
Implemented AI assistants for customer service
Managed a project to develop and implement a new type of functionality on the platform. +7% in revenue in the first month;
Created a short and long-term strategy for the CS department;
Planned department budget;
Building a team from scratch;
Developed tone of voice and service principles;
Business-oriented manager with nine years of experience in customer service in various industries(EdTeh, AdTeh, FinTeh), including five years as a manager. In the organization of processes, I go beyond the usual customer support to provide the best customer experience.
The last two companies bring customer service teams to the TOP3 of the industry in terms of essential customer service indicators (CSAT, Reply Time, NPS, etc.).


As a Head of Customer Experience
- Implemented AI assistants for customer service
- Reduced average response time across all markets by 1000%;
- Developed KPI model based on data and company revenue growth;
- Brought team ROI to more than 300%;
- Increased LT and ARPU by 30%;
- Managed a project to develop and implement a new type of advertising campaign on the platform. +7% in revenue in the first month;
- Created a short and long term strategy for the CS department;
- Planned department budget;
- Developed tone of voice and service principles;
Seeking a position that will best utilize the skills and talents I have developed and will provide opportunities for growth. My experience and skills allow me to meet challenges and demands that may arise in any position that I hold with more than 5 years of experience.
Position: Head of Customer Value Management, Head of CRM, Head of Omni-channel
Category: Marketing
Experience: 11 years | English: upper

CVM/ CRM development and digital transformation.
Customer–centric CVM strategy management, BigData based customer profile 360,
Campaign management system automation, NBO/NBA automation. Omni-channel automation.
Accomplished commercial leader in B2C Value Management, Customer retention and engagement, revenue growth, omnichannel and project management, business development, CRM automation. 
8 years experience in Telco/ Mobile operators, 6 years in Banking.
Position: Head of Cyber Penetration Testing division
Category: Security
Experience: 10 years | English: intermediate


More than 10 years of experience in Web Application Security, Logging and Alerting, Security Design, Penetration Testing, Secure Coding, Mobile Application Security, Reverse Engineering (Low Level ), Application Security Controls and Validation, Risk Assessments, Regulatory Compliance and Secure Software Development Life Cycle (secure SDLC).
Position: Head of Data
Category: Data Analyst
Experience: 3 years | English: fluent

Get certification in Data Science from MITxPro.
Experience with business domains:
- game development
- blockchain
- platforms with two types of customers

Analytics
 - identifying relevant product metrics 
 - Looker report
 - Tableau reports

Statistics and ML
- No-ML prediction solutions 
- hypotheses testing
- time-series modeling and model tuning (ARIMA), Granger-causality
- ML: regression trees
- distribution fitting
- A/B tests

Data transportation:
 - data quality assurance
 - ensuring data validity
 - Apache Airflow, Rundeck ETLs

Management
 - lead a team of two people for more than 6 months
 - leading a multidisciplinary team of 7 people
 - technical product management experience
Position: Head of Data /  Analytics
Category: Data Science
Experience: 5 years | English: fluent

Build Data Warehouse from scratch
Over 7+ years in Data Analysis and Science. 
4 year experience as Head of Data Science  

Domains: e-gov, healthcare, social networks, education . (Mobile & Web ) 

- Experience in building Data Warehouse from scratch
- Experience in building recomendation system
- Experience in leading software projects using Agile (Scrum and Kanban)
- Experience of working in international teams;
- Good communication and presentation skills;
- Excellent organizational, analytical and problem solving skills;
- Excellent teamwork;
- Team leadership, lead sharing, results assessment;
- Experience in writing software requirements, user stories and user cases,
- Capability of leading and successfully working with individuals from different disciplines and experience levels.
- Good experience with JIRA, Trello, Confluence, Wiki, Basecamp
I'm looking for product company with analytics team (or in process of building one). Preferable social impact products
Position: Head of Data Analytics
Category: Data Analyst
Experience: 7 years | English: upper

•	Strong SQL 
•	Strong BI Tableau: administration, creating complex dashboards, error tracking with updated data, support.  
•	Work with task tracking system Jira, YOUTrack. Wiki-system Confluence. 
•	Use Grafana for analyzes data in real-time 
•	Python (numpy + pandas).  
•	User behavior analysis, anomaly search
•	Team building, workflow description
•	Working with ETL connectors
•	Team and management training
•	Understanding of Database & Data Warehouse design principals
• SQL/Tableau tutor ~ 300 students 
• Mentor
• Creation and optimization of workflow processes for the analytics team
• Work with C-level executives to establish a vision, and to create a culture that treats data as a cross-corporate asset
• Develop and maintain controls on data quality, interoperability, and sources to effectively manage corporate risk
• Analyze data and generate visualizations and insights for use in client presentations
• Builds, develops, and maintains data models, reporting systems, data automation systems, dashboards, and performance metrics that support key business decisions.
• Create 3 analytics teams in different companies
• Design 2 DWH
• Lead data function, including Product / Customer Successes / Acquisition/ Sales analytics
• Coach, mentor and develop all data professionals
• B2B, B2C companies 

Data stack  SQL + Tableau + Python ( pandas, numpy )
I am looking for an interesting project that needs optimization/building analytics. 

ONLY PRODUCT COMPANIES 
KYIV HEAD OFFICE

Important: the presence of an analytics team or its recruitment in the near future. Participation in product analytics.
-------------
NOT INTERESTED IN THE POSITION OF FINANCIAL ANALYST / DATA SCIENCE / DATA ENGINEER
Position: Head of Data and Analytics
Category: Data Science
Experience: 11 years | English: upper

The biggest thing about me: get s&8 done, inspired by big ideas. Hard working and futuristic.
Current role: Head of Data and Analytics

- Established Data Academy, internal data upskilling project for PM/Engineering
- Customer churn modeling helped to increase retention in many cases. (XGBoost, snowplow)
- Trial conversion predictive model, influenced product decisions related to better customer acquisition. (XGBoost, pandas, seaborn)
- Recommendation system POC 
  - change user behavior based on the previous user actions and desired future outcome

- Emotion detection in text (BERT model, text classification) 
- Large scale textual analytics, helped to focus on the most important product areas: 
  - group customer qualitative feedback into meaningful topics (USE + HDBSCAN)
  - text similarity clustering by using large pretrained language model (BERT, USE) 
- Anomaly detection and themes correlation for survey data
- Product usage feature correlation 
- Keywords timeline trends project


Established foundational cost effective company data infrastructure:
- data warehouse: Redshift
- real-time event collection platform: Snowplow
- data modeling layer: DBT
- data ingestion: singer.io, embulk, custom python scripts 
- data visualization layer: Redash, Jupyter Notebooks, dash custom python app (Graph Network viz)
25+ dashboards for product usage and user behavior
Would prefer to lead a small team to establish company data infrastructure and deliver data projects. Main interests are in machine learning, data science, recommendation systems. Might not work really well with low data maturity orgs. Good communication with technically skilled team members, Engineering team.
Position: Head of Data Engineering
Category: Lead
Experience: 11 years | English: upper


I have been working as an Engineering Manager for more than five years. Before that, I had much technical background as a software engineer. 
My current role is Head of Data Engineering in a fintech startup ($150m+ raised, data & ai headcount 30+, total headcount 300+). 

I joined this Company ~6 months ago, and my main goal is to evolve the data analytics platform to the next stage. I work directly with the CTO and Head of Data & AI to bring changes in both cultural and technical aspects. The Company is going to become data-driven and needs a robust, scalable and effective data analytical ecosystem as a ground base. My main tasks at this point are
- Hire and grow data engineering team (previous vendor has left)
- Ensure business as usual tasks depending on data performed seamlessly
- Work with platform users and stakeholders on feedback and requirements management
- Make data analytics platform as an internal product
- Drive platform evolution to desired state
- Cost optimisation

During my career, I have performed different roles, from Java Software Engineer at the very beginning to Data Analytics Competence lead in outsource company (see LI for more details). 
I like building interesting and complex products, work with the professionals who enjoy their job and working on self-improvement. I work hard, expect same from the team but respect their borders, and it's very important for me to achieve results.
Position: Head of Data/Head of Analytics/Data Science Lead
Category: Data Analyst
Experience: 11 years | English: upper


Hey! I'm a data enthusiast with a profound background in data analysis, data science, and data engineering.
My key achievements:
Proficient in the complete data management lifecycle: from sourcing and collecting data to visualization, ETL processes, and the development and implementation of ML models.
Experienced in building and optimizing data warehouses.
Created projects from conceptualization to implementation, covering areas like strategy development, system architecture, technical realization, algorithm design and reporting.
Expertise in crafting numerous ML models, including segmentation, clustering, recommendation systems, time series analysis, and NLP.
Experienced in project management, strategic planning, and team leadership.

I firmly believe that data should drive business outcomes and strategic objectives
I am keen on joining a Ukrainian product company. I'd prefer to manage the full stack of data products, encompassing data analysis, ML models, data engineering tools, and reporting
Position: Head of Data / Lead / Data Architect / Consultant
Category: Data Engineer
Experience: 8 years | English: fluent


Head of Data\Data Manager

• 8 YoE in Data
• Able to build and manage several data teams
• Design and implementation of Data Platforms

Prog. lang.: Python, Scala, SQL
Cloud: Azure, AWS
Technologies: Apache Spark (Databricks, AWS Glue/EMR), Apache Kafka, Apache Airflow, Hive, HDFS, AWS EC2, AWS S3
Databases: Postgres, AWS Redshift, Snowflake, Greenplum, Oracle 11g, SAP HANA, Clickhouse
BI: Power BI, Tableau, Preset
Knowledge: Data Processing, ETL, Data Warehousing, Data Lake, Data Vault, Database Concepts, Data Management

Experience:
 - building data teams
 - data platform design and implementation
 - DWH\Data Vault and Data Lake\Data Lakehouse
 - OLTP\OLAP database tuning and optimization
 - have experience with BI
Interesting, complex, valuable and impactful product or service. Team of strong and ambitious(!) professionals. Professional growth.
Position: Head of Data Science
Category: Data Science
Experience: 11 years | English: intermediate

+ Developed a Promo Score model that decreased marketing costs by 80% of sending SMS to our customers, while the percentage of lost customers was only 0.4%. 
+ Developed a Churn model that decrease the total quantity of churn clients on 5% per month.
+ Reduced money costs up to 20% for SMM advertising through the introduction of customer clustering.  
+ Reduced marketing costs on TV advertising up to 10% per year by implementing econometric model.
+ 17 peer-reviewed articles in national and international scientific journals.
+ Awards:
   * Verkhovna Rada of Ukraine ("For the most talented young scientists in the field of fundamental and applied research and technical development" - 2012);
   * Grant from The President of Ukraine ("For the approximation of periodic functions of many variables").
Motivated business leader with 15 years experience in business and data analysis.
- PhD in Math, deep background in mathematics and statistics.
- Lead a team of the three Data Scientists.
- Deep understanding in supervised and unsupervised learning.
- Deep understanding of machine learning techniques and algorithms: Hierarchic cluster analysis, K-means, testing statistical hypotheses, Linear and Logistic regressions, exponential smoothing, k-Nearest Neighbors (kNN), SVM, Decision trees, Random Forests, XGBoost, LightGBM, Catboost, Feature Selection, Dimensionality Reduction, Neural Networks and others.
- Deep understanding of Deep Learning techniques (NLP, Computer Vision) and tools (Tensorflow, Keras).
- Programming skills: Python; familiar with R, SQL; basic knowledge: Hadoop, HDFS, Yarn, Hive, Kafka, Spark.
- Data visualization tools: Matplotlib, Seaborn, Plotly, qqplot, Shap, etc.  
- BI-tools: Power BI, QlikView.
- Familiar with GCP (Composer, Dataflow, Dataproc, BigQuery, etc).
- Excel (excellent knowledge), Word, Power Point, Outlook.
Position: Head of Data Science
Category: Data Science
Experience: 9 years | English: upper


Overall, I have been deeply studying and investigating Data over 9 years. I grew from demand forecasting specialist to machine learning lead. My key areas are retail, finance market, blockchain and process efficiency maximization. Moreover, experienced in solving of all possible tasks in such well-known fields as DS/ML/AI: predict, classification, clustering, recommendation, optimization, automation, recognition and deployment on major platforms / frameworks / languages.
Currently, I would like to manage, guide, and inspire for accomplishments. For this reason, my main areas of interest are head/lead or senior positions with future growth. 

Nevertheless, sometimes I can roll up my sleeves and deploy a solution using modern technologies but this is not more than 40-45% of the time.

Interested preferably in remote work. 

Also, I do understand well how the current recruiting and outsourcing market works, so I will be glad to check interesting cooperation offers that are relevant to my experience.
Position: Head of Data Science / AI / R&D / CDO
Category: Lead
Experience: 11 years | English: fluent

Up and running AI products that serve millions of customers. 
Successful launch of startups I have worked with.
During my career I wore a lot of hats: Scientist/Researcher, Lecturer, Software Developer, DB Developer, QA, Team Lead, Data Scientist, Applied Research Manager, Consultant, Head of R&D. I have participated in international science conferences and have a lot of published articles; wrote AI projects from scratch; consulted small and medium startups and helped their owners to make a successful exit; worked in lead roles at billion dollar tech companies. The most of my experience is related to Natural Language Processing (~20 years) and Machine Learning (~10 years), last 5 years I have worn Lead/Manager/Head hat and rarely write a code. 

My work consists of two major parts - internal and external. The internal part is about managing my team and helping them with any issues. The external part is about cooperation with other teams and stakeholders. This includes strategy and vision alignment with Business and Product teams to define areas for profitable AI applications and collaboration with Eng and Devops teams to run every AI product into production in time and with reasonable costs, scalability, maintainability, reliability and other important metrics.
I’m looking for a startup / early stage startup. AI should be a core feature of the product which generates (or will generate) the main profit. 
Interested in stock options/shares.
Lead role + Part time work only.
Position: Head of Data Science / Chief Data Officer (CDO) / Lead Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


- 5 Years of experience in Data Science and Analytics in Top American technology companies (incl. FAANG) + 3 years of additional business experience;
- Data Science experience in the following areas: Product Analytics, Marketing Analytics, Growth Analytics, Sales Strategy, Fraud Detection/Safety, Equity management/Finance.
- Fluent American English.

Python for Data Science Stack (pandas, numpy, scikit-learn, matplotlib, seaborn, scipy, etc.), Advanced SQL (window functions, views, optimization, regex, arrays & nested structures, set operations, etc.), Tableau,
AWS & GCP (Google Cloud Platform),
Docker, Git, terminal;
End-to-end Machine learning, Time-series analysis, Segmentation, A/B testing, Multivariate testing, uplift modeling, statistical inference, RFM modeling, cohort analytics, lead scoring, attribution modeling, anomaly detection, Fraud detection, network analytics, NLP, ETL & data engineering, data pipelines orchestration (Airflow).
Additionally deep expertise in: Salesforce data schema, Marketo data schema, Google Analytics.

Creating value by coupling deep understanding of the business (Marketing, B2B Sales, Self-service sales, Finance & Fraud/Safety) with best in class Data Science frameworks, approaches and scalable solutions.

Currently not actively looking, but open to consider interesting opportunities.
Position: Head of Data Science / CTO / CDO
Category: Data Science
Experience: 5 years | English: fluent

Publications:
- "Efficient Vision-Based Stair Recognition for Wearable Robotics using SSL", paper at IROS 2023.
- "SSL for Efficient Perception of Human-Robot Walking Environments", abstract at ICRA 2023 CV for Wearable Robotics Workshop
- "SSL for Efficient Perception of Human-Robot Walking Environments" poster at ICAIR 2023

- Graduated Master's with honors, obtained three research publications.

- Gave more than 10 talks on the topic of AI/ML at different educational institutions.
DS Engineering Manager, ML researcher, Lecturer at the Department of Multimedia Sciences. 

Leading a 17-engineer department as a deputy head of the department, directly managing a small team of 3 engineers, promoting skill development and knowledge sharing. Mentoring junior ML engineers on various projects. 

Recent projects include the creation of 2D/3D pose estimation for baseball models, an internal GPT-4 based AI presale automation module, the devising of a GPT-3 summarization model for legal texts, and the improvement of a self-harm text detection model.

Research directions combine CV and RL within Biomechanical Engineering and Health & Supportive Tech domains. The academic focus revolves around adversarial robustness in deep learning.

Lecturing and mentorship:
• Lecturer in Master's courses "NLP Systems" and "Image Analysis & Computer Vision".
• Former Instructor in "AI in medicine" cross-university course with a top Canadian university.
• Former Assistant lecturer in Master's courses in ML, CV, and RL.
• Former DS mentor at 2 educational platforms.
- Helpful products or research initiatives based on Computer Vision or Reinforcement Learning, preferably in Healthtech or Assistive Technology domain.