Takhmina's quantitative linguistic expertise offers a unique mix of linguistics and data analytics. As a detail-oriented individual, she enjoys thorough analysis and is interested in achieving high-quality outcomes. She is enthusiastic about working with various methods and software such as Tableau, Alteryx, Power BI, and programming languages like Python, SQL, and R.
Driven by a commitment to continuous self-improvement, Takhmina has a strong desire to make a positive impact on those around her. Having done multiple volunteering activities in the past, she is motivated to help others achieve their goals and solve their challenges.
Skills
Data visualization: Tableau, PowerBI
Data preparation: Alteryx, Tableau Prep, Excel, Python
Programming: SQL, Python
Key Competencies
Reflection
Analytical thinking
Effective communication
Continuous learning
Short Term Projects
Data Optimization for Software as a Service (SaaS): Participated in creating a Tableau dashboard with a desktop & mobile layout, to give users an overview of their customer location, product performance and sales figures.
Pricing Model Analysis for a Technology Company: Designed a Tableau dashboard that provides an overview of different pricing models and their trends over time, allowing for easy comparison. The client uses this dashboard to present the best pricing options to their customers.
Spatial Data Evaluation for a Waste Disposal Company: As a project manager, helped organize the workflow of a project with geolocation data, which was used to create a Tableau dashboard that shows cleaning schedules and road cleanliness ratings.
Customer Satisfaction Analysis for a Delivery Company: Created a Tableau dashboard that summarizes customer satisfaction based on survey data, focusing on the Net Promoter Score. This helps identify areas for improvement in the delivery process and highlights the performance of different delivery depots.
Before Data School
TechLabs | Data Science Track (2024)
Research Assistant (2021-2023) | University of Hamburg
Master of Arts in Linguistics (2024)
grade: 1,68
thesis: "Analysing Polysemy with Machine Learning"