Alisa Dammer

Software Developer, Data Analyst, Data Scientist

About me

My single biggest interest is data analysis. Most of all I am fascinated by neural networks and their usage in different spheres like image recognition, text classification and of course financial markets.

During my first bachelor I have gained a sufficient theoretical background in mathematics and statistics which allows me to work in scientific contexts without difficulties. During my second bachelor I have gained a solid set of programming skills.

I love learning new things, even if they are not directly connected to my major interest. For example I take part in GameJams frequently where I learn either new languages or new frameworks or even graphics (2d, 3d, PixelArt or cartoony style). In my spare time I like working on my own projects. I try not to forget about the body: dancing, working out, snowboarding - are the best way to relax, imo.

I am an easy going person able to work in a team as well as alone. While working in a team, I especially like brain storming sessions since during those you get to know people better than during casual situations. While working alone on the project, I like feeling responsibility and freedom to choose most appropriate way to finish the task, as well as the tools best suited to.

Technologies

  • Programming languages (skill descending order): Python (Flask, uWSGI, pytest, a bit of AsyncIO), Java (Dropwizard, Hibernate, Java8), R, JavaScript, Lua
  • Markup languages: HTML, CSS
  • SQL (PostgreSQL, MySQL), BigQuery, ElasticSearch
  • Financial data analysis: regressions, statistic tests, machine learning (sci-kit, statsmodels, pandas, numpy)
  • Text processing: simple ML (SVM, trees, naive bayes, RegexNER) with nltk, Learning algorithms (CNN, LDA) with tensorflow and theano/keras
  • Data visualization: d3.js, matplotlib, ggplot
  • Game development: python sfml, lua love2d, javascript with phaser.js and panda.js
  • Additional technologies: git, Atlassian tools, Slack, Asana

Additional Skills

  • Natural languages: Russian (native speaker), German (fluent), English (fluent)
  • Graphic design: krita, gimp, photoshop, darktable, aseprite, inkscape

Education

Gymnasium №3, Novosibirsk, Russian Federation (1997-2007)

Novosibirsk State University, Economical Department, Economics (2007-2011)

The bachelor thesis consisted in proving that classical portfolio models are ineffective on modern Russian stock exchanges. Thus I suggested an adopted approach for choosing the portfolio for a private investor.

University Hamburg, MIN faculty, Information Systems study (2011-2015)

The goal of my second bachelor thesis was to check what language is more suitable for an econometric task written on the beginner level. Python and R were chosen for comparison, since these two languages are heavily used by both scientific and non-scientific communities. To answer this question I have written two identical Programs (with respect to the language's features and idiomatic style) in Python and R and have run performace and memory usage tests. I have also compared subjective usability (ease of use, documentation quality, community) of the langages.

Professional Experience

Everbase AG (2015-05 – 2015-08)

Working student, Graphics manipulation, design

Eversolve(2015-08 – 2016-01)

Working student, front end developer (Angular.js, Bootstrap, JS)

Joblift (2016-04 – now)

Fulltime software developer (mostly back end development and text classification via ml and standard approaches. Java, Python, ES, SQL)

Some more

Europython 2017, Speaker

A 30 minutes presentation on the very basics of a short-text classification starting from 4:36:00

Copyright 2015-present Alisa Dammer