Data Scientist
Summary
At the University of Colorado Boulder, I've contributed as a Graduate Research Assistant, identifying cognitive brain regions using fMRI data and advanced models. Notably, I developed pruning methods for neuron activations and enhanced distributed training across GPUs. My research culminated in an ICBINB@NeurIPS 2022 paper. Simultaneously, I've taught Psychological Statistics, C++, and assisted in Cognitive Science, fostering enriched learning for students. During my internship at LiveRamp, I improved data onboarding tenfold, streamlined CRM PII processing, and conducted impactful R&D on XGBoost and BQML. I also prototyped enhanced search and visualization tools for application metadata.
Expectations
From a new job, I expect challenging tasks, opportunities to learn and grow, a collaborative environment, fair compensation, work-life balance, and a chance to make a meaningful contribution to the company's goals.
Employment Preferences
Relocation destinations:
- United States
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Data Analysis
- Statistical Modeling
- Predictive Analysis
- Data Preprocessing
- Pipeline Development
- Image Processing
- Dimensionality Reduction
- Dialogue Systems
- Deep Learning
- Data Visualization
- Python
- C++
- R
- MatLab
- SQL
- MySQL
- Tableau
- Neo4j
- Kibana
- Shiny
- Django
- PyTorch
- React
- Spark
- Git
- Docker
- GCP
- BigQuery
- Kubernetes
- Airflow
- Tensorflow
- Keras
- Theano
- NLTK
- Scikit-Learn
- Pandas
- NumPy
- OpenCV Matplotlib
- Seaborn
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