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Profil #275513

My name is Sophie Vilter and I am passionate about problems solving, mathematics, and data science. I am well versed in using machine learning techniques in coding languages such as Python and R. I enjoy working with others, I am a hard worker and a great communicator.
Opdateret 09. februar 2023
Min uddannelse
2021 - 2024

Anden mellemlang videregående udd.

Danmarks Tekniske Universitet - DTU

In August 2021, I began my masters program in Human Centered Artificial Intelligence at the Technical University of Denmark. I am pursuing a focus in Data Science, and I have taken a number of analytical courses including Computational Data Analysis and Computational Tools for Data Science. I have taken modelling courses such as Cognitive Modelling, Model Based Machine Learning, and Advanced Machine Learning. I have also taken a number of math courses including Multivariate Statistics and Mathematical Modelling.
Uddannelsesområde: Teknik & Teknologi
Periode: august 2021 - maj 2024
Min erhvervserfaring
2022 - nu

Marketing Data Analyst

B Stock Solutions

The primary focus of my employment at B-Stock as been managing a Product Recommender Project, which is aimed at providing clients with a daily curated list of auctions. I have implemented machine learning techniques in python to differentiate between relevant and non-relevant auctions to ensure clients receive the auctions most relevant to them in their daily list. I have analysed the algorithm performance and fine-tuned results to account for entire client base. I am currently coordinating with the marketing and IT teams to implement algorithm with a test group of clients.
Arbejdsområde: Data & Analyse
Periode: juni 2022 - nu
2020 - 2021

Data Analyst Intern

Fresh Encounter

I utilised SQL to manipulate and analyse transaction data at Fresh Encounter grocery stores. I provided insight to number of transactions per week using a customer card at specified locations.
Arbejdsområde: Data & Analyse
Periode: august 2020 - august 2021
2020 - 2020

Consulting Intern

Red Frame Lab - Denison University

I completed consulting project for a company called LumenServe, Inc. based in Texas, USA. I helped expedite LumenServe’s light tower data cleaning process using Python to increase the frequency of monitoring their client’s tower maintenance needs. I quantified the number unique contacts in LumenServe’s database to determine their potential client market.
Arbejdsområde: Data & Analyse
Periode: juni 2020 - juni 2020
Mine kompetencer
Evner
python r sql tableau
Sprog på arbejdsniveau
english
Mine præferencer
Jobtype
Studiejob
Arbejdsområde
Data & Analyse
Geografi
Storkøbenhavn
Læs mere / links
https://www.linkedin.com/in/so...
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