About me
Enthusiastic and innovative professional with a proven track record in leveraging advanced analytical skills to extract actionable insights from complex data sets. Since 2019, I have honed my expertise in data science, contributing to successful data-driven strategies. I dedicated 9 years to pioneering mathematical research, earning a Ph.D. in mathematics.
Currently, I work as a Data Scientist at Robert Bosch d.o.o, Belgrade. I specialize in extracting meaningful insights from diverse datasets, with a primary focus on manufacturing processes and textual data analysis. My responsibilities encompass the end-to-end data lifecycle, from data ingestion to cleaning, and the delivery of scalable machine learning solutions. Throughout this process, I've adeptly applied a tech stack inclusive of autoencoders, generative AI models, MLflow for model tracking, MLOps for seamless deployment, PySpark for large-scale data processing, and conducted all operations on cloud platforms, collectively fostering a robust and scalable data science environment. This multifaceted approach enables me to unravel complex data challenges and contribute to data-driven decision-making within the organization.
Before joining my current company, I worked as a Teaching Assistant at the Faculty of Sciences in Novi Sad, where I was engaged in many mathematical subjects. In addition to teaching, my role involved conducting research aligned with my thesis, with a focus on specializing in partial differential equations. Over the years, I broadened my research scope to include statistics and delved into the realm of deep learning.
I love solving problems and fostering effective communication; this is my main motivation in daily work.
Nevena is an expert in her field, she has a strong grasp on statistics and has great communication. Thank you!
Upwork client
Nevena provided a fantastic interpretation for an advanced statistical report. I was very impressed with her work and she's very clear, and very patient!
Upwork client