Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 4

0. PhD in Solid State Physics.
1. Creation of automated exploratory data analysis tool.
2. Development of automated ML-based platform containing:
- data analysis.
- model creation.
- model training and validation.
- pipeline creation for new data processing.
- models drift detection and automatic model updating.
- reports.
3. Successful management, execution and completion of ~10 projects:
- Presales and demos.
- Team leading.
- Business and Data analysis.
- Models creation and validation.
- Presentations and meetings with customers.
- Business trips.
4. RF antenna recognition on photos and signal detection via drones and neural networks.
5. Recovery of a power grid map by telecommunication equipment alarms.
6. Improving network availability by detecting weak backup batteries (or predicting their degradation). Prediction of electricity power outages.
7. Improving contractors efficiency by detecting fraud in reports, poorly executed work, fuel theft, work redistribution according to skills.
PhD, Data Scientist with a strong math background and experience using data processing, mining, and analysis algorithms, as well as various ML approaches to solve both research and business problems for telecommunication companies worldwide. 
Experience with all DS process steps (from BA to production). 
Development of an AutoML-based system for processing, preparation, and analyzing raw data, and providing predictions.
POCs for customers: demo, kick-off, and weekly meetings; business analysis; data collection and analysis; system setup and tuning for POC needs; results presentation.
AI-team management and leading, mentoring junior data analysts.
Deep Learning based image and signal recognition.
Raw text processing via NLP techniques. 
RnD and math support of other internal projects.
Research in transfer learning for equipment issues forecasting.
Experience in stakeholders communication and presales (C and VP-levels), direct work with a foreign customer (VP-level). 
Foreign business trips (Africa, South America).

Technologies:
- Python, pandas, numpy, sklearn, matplotlib/seaborn, scipy, h2o, Tensorflow/Keras, nltk / spacy, networkx, sqlalchemy, geopandas, json, requests, Flask+Gunicorn.
- Matlab/Octave.
- MySQL.
- JavaScript (integration scripts between Flask backend and JS frontend), amcharts4.
- Linux (both .deb and .rpm), bash/sh.
- Gimp, Inkscape and G-docs for documentation, reports preparation, and presentations.