Hakan Colak

Hakan Colak

$14/hr
I am skilled in visualizing data, implementing, and managing databases
Reply rate:
-
Availability:
Hourly ($/hour)
Location:
Miami, Florida, United States
Experience:
5 years
Contact www.linkedin.com/in/hakancolakds (LinkedIn) Top Skills Hadoop Spark Snowflake Languages Turkish (Native or Bilingual) English (Full Professional) Certifications Data Analysis with Python Tracking Objects in Video with Particle Filters Unsupervised Learning Certified Spark NLP Healthcare Data Scientist Exploratory Data Analysis for Machine Learning Hakan Colak Data Engineer | Data Analyst | Data Scientist | Python | SQL United States Summary As an experienced Data Engineer, Data Scientist, and Data Analyst, I have a strong background in Probability, Statistical Data Analysis, Data Wrangling, Data Visualization, ETL (Extract, Transform, Load), Machine Learning, Deep Learning, and NLP. I am skilled in visualizing data using Tableau, experienced in designing, implementing, and managing databases, and writing complex SQL queries in performing data analysis. I have hands-on experience in regression, classification, and clustering models and executed machine learning models such as Linear Regression, Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, kNN, k-Means, XGboost, Neural Networks (CNN, RNN, LSTM) at different levels of projects. I have a solid understanding of Agile workflows, SDLC, and DevOps practices such as Automation, Infrastructure as Code, CI/CD pipelines, and Containerization. With a proven track record of exceeding expectations, I'm confident that I can bring value to any organization. Currently, I am looking for a full-time opportunity as a Data Scientist, Data Engineer, Data Analyst, and Python Engineer. Skills: ✔ Programming Languages: Python, SQL (MySQL, MariaDB) ✔ Exploratory Data Analysis: Pandas, NumPy, Scikit-Learn, SciPy, Seaborn, Matplotlib, Plotly, PySpark ✔ Natural Language Processing (NLP): NLTK, gensim, sparkNLP, spaCy Page 1 of 3 ✔ Containerization: Docker, Kubernetes ✔ Operating Systems: MS Windows, Linux, macOS ✔ Deep Learning Frameworks: TensorFlow, Keras, PyTorch ✔ Machine Learning: Regression Analysis, Classification, and Clustering Models, Time Series ✔ Cloud Platforms: IBM, Google, AWS (S3, EC2, ECS) ✔ Version Control System: Git, GitHub ✔ Continuous Integration: Jenkins ✔ Configuration Management: Ansible Experience eDigital Software Engineer March 2022 - October 2023 (1 year 8 months) United States Per Scholas DevOps Trainee November 2021 - April 2022 (6 months) United States • Set up virtual machines and made them able to ssh into each other & used Ansible to connect to them. Used Ansible Playbook for the server configuration Installed Docker and run Jenkins on Ubuntu virtual machine and Containerize the project into Docker images with Dockerfile and push them onto the DockerHub • Created Jenkins Pipelines configured by Jenkinsfile to implement continuous integration and continuous delivery for Python Flask App • Launched multi-node cluster using Kubernetes to create a deployment with 3 replicas and scale them to 5 • Becoming familiar with security endpoints in technical infrastructure • Expanding Linux and scripting abilities in Shell, Python, and SQL Page 2 of 3 • Gain experience in deploying a static content website with Docker container and Kubernetes Ziggurat Technologies, Inc. Data Science Intern July 2021 - December 2021 (6 months) California, United States ABB Engineering Intern August 2018 - September 2018 (2 months) Turkey I was an engineering intern in the Control Technologies Department. Education Boğaziçi University Bachelor's degree, Electrical and Electronics Engineering · (2019) Data Science Academy Data Science Certification · (2020 - 2020) Page 3 of 3
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