Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 5


Projects:
1. Daimler Truck North America (Portland, OR) / Vaital (Bellevue, VA)

Project description:
Data analysis of truck behaviors. Understand how customers are using their trucks.
· Analyzing average types of roads where drivers travel frequent. · Analyzing drivers average speed.
· Analyzing electric and diesel prices of different regions.
· Counting the revenue in case when drivers road is changing between state to state.
. Visualizing obtained results with different plotting tools. Roles/Responsibilities: Developer
Language - Python.
Frameworks and LIbraries - Pandas, PySpark, Databricks, Numpy, Flask

2. Flexport (San Francisco, California) / Vaital (Bellevue, VA)
Project description:
Mapping product descriptions to HS descriptions/ codes (Natural Language Processing)
Need to predict HS descriptions and codes from different product descriptions:
· Training a multi-label classification model with transformers (Bert, DistilBert, Roberta and others).
· Error Analysis for further improvement of the model.
· Impoving accuracy using (Named Entity Recognition, Natural Language Inference).
· Working with GPT-3 model for predicting difficult parts of HS descriptions from dynamicly changeable descriptions without re-training of model.

Frameworks and LIbraries - Huggingface Transformers, Tensorflow, PyTorch. Pandas, Streamlit, SQL, Flask, FastAPI.

3.License plate detection and character recognition. (Sphere - Computer Vision)

Technologies:
Language - Python.
Frameworks and libraries - OpenCV, YOLOv5, YOLACT, LPRNet, PyTorch, TensorFlow.
1. Collecting data of Armenian license plates.
2. Detect license plates of vehicles with YOLO.
3. Segment all characters on plates with YOLACT.
4. Recognize digits and letters with LPRNet and other models.Worked on Machine Learning projects for tabular data and Computer Vision projects for both images and videos. Used frameworks OpenCV, Pandas, Numpy, Scikit-learn, PyTorch, Flask, TensorFlow and Keras.