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.
Updated 09. februar 2023
My education
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.
Educational area:
Teknik & Teknologi
Period:
august 2021
-
maj 2024
My work experience
2022
-
now
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.
Work area:
Data & Analyse
Period:
juni 2022
-
now
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.
Work area:
Data & Analyse
Period:
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.
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