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Data Science | Data Analysis

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  • 10318 Berlin
  • Nähe des Wohnortes
  • de  |  en  |  ru
  • 13.02.2024
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Kurzvorstellung

Data Scientist and Researcher with hands-on experience in Data Analysis and Machine Learning. Professional background in statistics and educational data. Reliable and proactive team-player who embraces challenges.

Auszug Referenzen (1)

"E. was a big help to the Data&Insights team and contributed to its transformations"
Junior Data Scientist (Festanstellung)
Olga Zvegintseva
Tätigkeitszeitraum

9/2022 – 9/2023

Tätigkeitsbeschreibung

Supported the development of the Data Team infrastructure in its early stages. Transformied and cleaned data from several partners, ensuring and maintaining overall data quality. Provided ad hoc reports as well as longterm reporting projects, like the most used transactions analytics dashboards for stakeholders by building ETL pipelines in AWS. Enriched missing data by building a scraper for currency exchange rates.

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Business Intelligence (BI), Data Science, Engineering data management (EDM), ETL, Google Cloud, Python, Reporting, SQL

Qualifikationen

  • Amazon Web Services (AWS)
  • Business Intelligence (BI)
  • Data Science
  • Datenanalyse
  • Datenbankentwicklung
  • Engineering data management (EDM)
  • ETL
  • Google Cloud
  • Python
  • Reporting

Projekt‐ & Berufserfahrung

Co-Founder and CEO
Henrietta AI, Berlin
9/2023 – 5/2024 (9 Monate)
IT & Entwicklung
Tätigkeitszeitraum

9/2023 – 5/2024

Tätigkeitsbeschreibung

Developed and implemented a convolutional neural network for accurate recognition of male genitalia in images. Managed the entire lifecycle of the AI model, including algorithm design, data scraping, and training. Engaged in networking and conducted market/user research to align the product development with consumer needs. Successfully secured funding through an accelerator program.

Eingesetzte Qualifikationen

Data Science, Keras, TensorFlow, Python, Google Cloud, Business Development, Marketing- / Vertriebsanalyse

Junior Data Scientist (Festanstellung)
Smartbroker AG, Berlin
9/2022 – 9/2023 (1 Jahr, 1 Monat)
Finanzdienstleister
Tätigkeitszeitraum

9/2022 – 9/2023

Tätigkeitsbeschreibung

Supported the development of the Data Team infrastructure in its early stages. Transformied and cleaned data from several partners, ensuring and maintaining overall data quality. Provided ad hoc reports as well as longterm reporting projects, like the most used transactions analytics dashboards for stakeholders by building ETL pipelines in AWS. Enriched missing data by building a scraper for currency exchange rates.

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Business Intelligence (BI), Data Science, Engineering data management (EDM), ETL, Google Cloud, Python, Reporting, SQL

Zertifikate

Data Science
Spiced Academy
2022

Ausbildung

Educational Research
M.A.
Freie Universität Berlin
2021
Berlin

Über mich

After finding my knack for statistics I switched my educational path towards data. I designed and trained a convolutional neural network for my data science bootcamp graduation where I managed the whole lifecycle of the algorithm.
In my position as a Junior Data Scientist in the fintech industry I helped building the newly created data department by conceptualising, creating and developing automated KPI dashboards with data from different sources using a variety of tools (like Quicksight and LookerStudio for visualisations and Airflow for ETL). Identifying metrics through thorough explorational analysis, following transformation, cleansing and normalizing data in a streamlined process to present them understandably to a non-tech audience is my best talent.
I went back to my graduation project and work as a Co-Founder for my company where I continued developing the prototype, secured funding, worked out the financial plan, did user research through surveys, marketing campaigns and interviews.
However, working with data is what I miss about being a Co-Founder which is why I want to start contributing by doing freelance projects.

Weitere Kenntnisse

Frameworks:
- Keras, scikit-learn, TensorFlow
- Conda/Anaconda, Jupyter, Matplotlib, NumPy, pandas, plotly express
- SageMaker, Vertex AI

Applications:
- Convolutional Neural Networks, ETL, EDA, Dashboard Metrics, Data Analysis, Data Cleansing, Data Quality Management, Data Transformation, Data Visualisation, Image Recognition/Classification, Machine Learning, Statistical Testing

Algorithms:
- ARIMA (for Time Series Analysis), Convolutional Neural Networks, LSTM
- Hyperparamer Tuning
- Dimensionality-Reduction (PCA)

Programming Skills:
- Python
- R Studio
- Git, GitHub, GitLab
- macOS, Windows

Database skills:
- BigQuery, SQL

Big Data:
- Amazon Web Services (AWS), SageMaker
- Google Cloud Platform (GCP), BigTable, BigQuery, VertexAI

Agile-Tools:
- Asana, Jira, Slack, Teams, Trello, YouTrack

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
  • Russisch (Gut)
  • Französisch (Grundkenntnisse)
Reisebereitschaft
Nähe des Wohnortes
Arbeitserlaubnis
  • Europäische Union
Profilaufrufe
106
Alter
35
Berufserfahrung
1 Jahr und 9 Monate (seit 09/2022)

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