Ask HN: Who wants to be hired? (October 2019)

Location: Buenos Aires, Argentina. (Mostly)

Remote: Preferred. I would consider spending up to 4 months/year on site if necessary.

Willing to relocate: Not completely, as indicated above.

Technologies: HTML, CSS, Javascript (ES7+), React, Redux, NextJS, Webpack, NodeJS, Express.js, MySQL (MariaDB), MongoDB, Mocha, Chai, Jest, Cypress, Docker, Gitlab, GitlabCI, AWS, Now.

Résumé/CV: Available on request

Linkedin: https://www.linkedin.com/in/ramiro-pinol/

Email: ramiropinoldev (at) gmail (dot) com

I'm a Full-stack developer with 3 years of experience in Front-end, Back-end and some DevOps. I love to learn and build things from scratch. I'm passionate about machine learning and been dedicating my free time learning about it. A web-dev position in a company on this field will be a big plus for me.

Location: San Francisco Bay Area

Self Introduction: I have just finished my second master's degree in statistics. I am seeking an entry-level data analyst or data scientist positions. I’m passionate about data and extracting value from data, and good at advanced analytics skills. Also, I am very curious, detail-oriented, fast learn, problem-solving and proactive. Before the program, I have 5 years’ working experience and even led a small team of 4 members in another country.

Remote: Open

Software: R, SAS, MySQL & PostgreSQL, Python, Tableau, Power BI, GitHub, Excel, PowerPoint, LaTeX, EViews, SPSS, MapInfo

Skills: Theory of Point and Interval Estimation and Hypothesis Testing, Bayesian Methods, Experiential Designs (ANOVA, ANCOVA, AB testing, Multiple Comparisons and Latin Square Designs (LSD)), Linear Regression, Machine Learning (KNN, Logistic Regression, Naïve Bayes, K-means Cluster, SVM, Decision Tree, Random Forest), Data Visualization (ggplot2, Tableau, Seaborn), Deep Learning (Keras, TensorFlow, RNN, LSTM, CNN), Natural Language Processing (Sentiment Analysis, N-grams, TF-IDF, Topic Modeling), Advanced SAS (SQL and Macro), Advanced Statistical Theory (MLE, LRT, Monte Carlos), Data Synthesis, Data Pipeline, Data Mining, Data Wrangling, Data Visualization, Statistical Modeling, Machine Learning, Regression-based Models, Hypothesis Testing, Text Mining, Cohort Analysis

Résumé/CV: https://www.linkedin.com/in/jiayiliu-2017/

Email: jane06172019@gmail.com

Github: https://github.com/JaneLiu0617

Role: Data Scientist

Location: Chicago, IL

Remote: Yes

Willing to relocate: Yes

Technologies: Python, Keras, PyTorch, Git, MySQL, Flask, Sci-Kit Learn, Pandas, Numpy, Plotly, Scrapy, Scipy, CatBoost, NLTK, Gensim, Spacy, XGBoost, Statsmodels, Matplotlib

Résumé/CV: https://www.linkedin.com/in/glen-ko-816aaa85/

Email: glen.ko95@gmail.com

Am currently a software engineer with an interest in ML that has about 2 years of experience in Python. I am especially interested in ML as it can be applied to biotech (e.g. genetics) as I have a background in chemistry (esp. organic chemistry) that I believe will be relevant.