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Experienced data scientist with strong background in statistics, machine learning and big data.

Creates data science and artificial intelligence solutions, build data-oriented products and extracts useful information from something that can be defined as data using big data, machine learning, deep learning, NLP and statistics.

Solution-driven professional with experience in team leading and designing/implementing technical solutions for data science and artificial intelligence projects.

Programming, data science and machine learning instructor with 65K+ students and 4.7 scores on udemy.com.

Entrepreneur and data activist (Organizing competitions, panels and meetups about DS & AI)

Vahit Keskin's Projects

kats icon kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

m5-methods icon m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

mexican-government-report icon mexican-government-report

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

numpy icon numpy

The fundamental package for scientific computing with Python.

objectron icon objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

plmpapers icon plmpapers

Must-read Papers on pre-trained language models.

py_stringmatching icon py_stringmatching

A comprehensive and scalable set of string tokenizers and similarity measures in Python

pygame icon pygame

Games that i did using pygame library

python icon python

All Algorithms implemented in Python

qbr icon qbr

A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.

quant-trading icon quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

resemblyzer icon resemblyzer

A python package to analyze and compare voices with deep learning

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

storeitemdemand icon storeitemdemand

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

tensorflow-lifetime-value icon tensorflow-lifetime-value

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

tensortrade icon tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

text-messages icon text-messages

Send your friends AUTOMATED text messages from your Mac. Inspired by the bee movie tik tok that went viral.

udacity-ab-testing-final-project icon udacity-ab-testing-final-project

This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more traffic or generate more revenue. The project included choosing a metric, building intuition, defining hypothesis and comparing two samples for hypothesis testing.

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