Kristiyan Dimitrov kristiyan-dimitrov

I'm an alumni of the Master of Science in Analytics program at Northwestern University, which I graduated in December 2020. After that I joined BillionToOne as a Data Scientist. BillionToOne performs prenatal, molecular testing, which identifies genetic conditions such as Cystic Fibrosis, Spinal Muscular Athrophy, Alpha & Beta Thalassemia, and several chromosomal abnormalities. Before coming to the US, I worked at Google for 4 years in Dublin, Ireland. Link to my resume & LinkedIn

What I bring to the table 🧠:

Excellent skills in Python & SQL; familiarity with R, Java, Scala, JavaScript (particularly D3.js), HTML.
Working knowledge of Docker & (AWS S3, RDS, EC2) for putting ML models into production via Flask Apps or REST APIs.
Experience with Big Data technologies such as PySpark, HDFS, Hive, MapReduce.
Ability to work with Git & GitHub in an Agile Development fashion.
Broad array of Machine Learning knowledge:
- Supervised Learning
  - Tree based methods (Decision Trees, Random Forests, Gradient Boosted Trees)
  - Support Vector Machines
  - Time Series Forecasting
  - Linear & Logistic Regression
- Unsupervised Learning
  - Clustering (KMeans, Gaussian Mixture, Agglomerative)
  - Customer Life Time Modelling
  - Recommendation Systems (Content based & Collaborative filtering)
  - Dimensionality Reduction (PCA)
  - Survival Analysis
- Optimization
  - Supply Chain Network Optimization
  - Travelling Salesman Problem (TSP) & Vehicle Routing Problem (VRP)
  - Experience with PuLP & Gurobipy
  - A/B Testing (Power Analysis)
- Text Analytics & Deep Learning
  - NLP Packages (nltk, gensim, Spacy)
  - CNNs, LSTMs, Transformers, Word2Vec, Autoencoders
  - Reinforcement Learning (Multi-Armed Bandit, Q-Learning)

For more info on my qualifications & experience, here's a link to my resume 📄

I invite you to take a look at some of my repos:

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