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I'm Tatev, a Machine Learning and AI Researcher with global work experience specializing in leading and executing impactful ML, AI, and data solutions. My expertise encompasses developing innovative data software and AI solutions for recommender systems, search engines, e-commerce, environmental, and retail companies.
Worked in Tech, as Data Scientist in ML and AI in both product-based and consultancy settings with a strong business sense, and collaborating with Tech Leads, UX designers, Senior Management, Product Leaders, and Business Directors.

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🖥️ Resources and Courses to get into Machine Learning


Check out my Personal Portfolio consisting of my Case Studies with Codes, Papers, Blogs, and Videos in the field of:
  • Generative AI (LLMs) ->
  • Data Science (ML) ->
  • Data Structures & Algorithms ->
  • Deep Learning ->
  • Mathematics ->
  • Statistics ->
  • Econometrics ->

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TK_Aslanyan's Projects

artificial-neural-network-business_case_study icon artificial-neural-network-business_case_study

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

babygpt-build_gpt_from_scratch icon babygpt-build_gpt_from_scratch

BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python

convolutional-neural-network-image_recognition_case_study icon convolutional-neural-network-image_recognition_case_study

Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)

data-science-popular-algorithms icon data-science-popular-algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

deep-learning-for-data-science icon deep-learning-for-data-science

Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders

econometric-algorithms icon econometric-algorithms

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

finance-projects icon finance-projects

Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds, Determining Pension Fund's Premium. (Case Study Papers and Code)

forex-python icon forex-python

Foreign exchange rates, Bitcoin price index and currency conversion using ratesapi.io

free-resources-books-papers icon free-resources-books-papers

Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.

mathematics-statistics-for-data-science icon mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

multivariate-statistics icon multivariate-statistics

Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)

nlp icon nlp

Natural Language Preprocessing

recurrent-neural-network-pricing-model icon recurrent-neural-network-pricing-model

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

shields icon shields

Concise, consistent, and legible badges in SVG and raster format

size-limit icon size-limit

Calculate the real cost to run your JS app or lib to keep good performance. Show error in pull request if the cost exceeds the limit.

tatevkaren-data-science-portfolio icon tatevkaren-data-science-portfolio

Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, and additional resources are all included.

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