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Камелія
Дата-аналітик
- Considering positions:
- Дата-аналітик, Data engineer, маркетинг-аналітик, помічник керівника
- Age:
- 19 years
- City:
- Kyiv
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BOHUTDINOVA KAMELIIA
CONTACT INFO
[open contact info ](look above in the "contact info" section) [open contact info ](look above in the "contact info" section)
LinkedIn
PROFILE
I am a second year Software Engineering and Business Analysis student at Kyiv School of Economics
(KSE). I have a solid technical background in Python, SQL, C++, and Scala, with practical experience
building automated data pipelines (Airflow, dbt) and implementing complex algorithms. My
background allows me to combine deep engineering skills with a strong understanding of product
metrics and business logic.
PROJECTS & ACADEMIC FOCUS
Data Pipeline Orchestration (Airflow & dbt)
Developed and implemented an end-to-end ETL pipeline using Apache Airflow for task
orchestration.
Utilized dbt for data modeling and transformations to ensure efficient data processing.
Functional Programming & Algorithms
Designed and built a functional implementation of Lambda Calculus in Scala.
Implemented and optimized pathfinding algorithms, including Dijkstra and A*, in C#.
Developed client-server applications focusing on network protocols and parallel execution.
Data Analytics & Business Intelligence
Performed data analysis using SQL and Python to extract insights from raw datasets.
Designed interactive Tableau dashboards and analyzed product metrics to evaluate user behavior
and A/B test results.
EDUCATION SKILL
2024 – Present Core Programming: Python (Pandas, NumPy), SQL,
C++, Scala, C#
Kyiv School of Economics
(KSE) | Bachelor of Data Engineering: Apache Airflow, dbt, ETL
Software Engineering and Pipelines, Database Design.
Business Analysis | CS Fundamentals: Algorithm Design (Dijkstra, A*),
Relevant Coursework: Data Parallel & Client-Server Programming, Operating
Engineering Concepts, Parallel and Systems, Networking, Functional Programming.
Client-Ser ver Programming, Analytics & BI: Tableau, A/B Testing, Product Metrics
Networking Concepts, Operating (LTV, CAC, Retention), Cohort Analysis.
Systems, Functional Programming,
Product Analytics.
CONTACT INFO
[
PROFILE
I am a second year Software Engineering and Business Analysis student at Kyiv School of Economics
(KSE). I have a solid technical background in Python, SQL, C++, and Scala, with practical experience
building automated data pipelines (Airflow, dbt) and implementing complex algorithms. My
background allows me to combine deep engineering skills with a strong understanding of product
metrics and business logic.
PROJECTS & ACADEMIC FOCUS
Data Pipeline Orchestration (Airflow & dbt)
Developed and implemented an end-to-end ETL pipeline using Apache Airflow for task
orchestration.
Utilized dbt for data modeling and transformations to ensure efficient data processing.
Functional Programming & Algorithms
Designed and built a functional implementation of Lambda Calculus in Scala.
Implemented and optimized pathfinding algorithms, including Dijkstra and A*, in C#.
Developed client-server applications focusing on network protocols and parallel execution.
Data Analytics & Business Intelligence
Performed data analysis using SQL and Python to extract insights from raw datasets.
Designed interactive Tableau dashboards and analyzed product metrics to evaluate user behavior
and A/B test results.
EDUCATION SKILL
2024 – Present Core Programming: Python (Pandas, NumPy), SQL,
C++, Scala, C#
Kyiv School of Economics
(KSE) | Bachelor of Data Engineering: Apache Airflow, dbt, ETL
Software Engineering and Pipelines, Database Design.
Business Analysis | CS Fundamentals: Algorithm Design (Dijkstra, A*),
Relevant Coursework: Data Parallel & Client-Server Programming, Operating
Engineering Concepts, Parallel and Systems, Networking, Functional Programming.
Client-Ser ver Programming, Analytics & BI: Tableau, A/B Testing, Product Metrics
Networking Concepts, Operating (LTV, CAC, Retention), Cohort Analysis.
Systems, Functional Programming,
Product Analytics.
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