With eight years of extensive experience in the field of machine learning and data sciences, currently, I working as a Data Scientist (recommender systems and general data analytics) at an e-commerce based company in The Netherlands. Meanwhile, I am also concluding my PhD in Machine Learning and Data Sciences (NLP and Computer Vision) from Radboud University, The Netherlands.
I have an extensive experience of working with numerous research and applied based data science projects with variety of the datasets in various scenarios.
PhD Computing Sciences (Data Sciences) (In- Progress)
MS Computer System Engineering
Field of Interest and work:
Natural Language Processing
Time Series Analysis.
Data Preprocessing ( Scrapping, Cleaning and Preparation, Dimensionality Reduction, Feature Extraction, Feature Selection etc.)
Machine Learning Modeling:
Neural Networks, Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), Transformers, Support Vector Machine, Random Forests, K-Nearest Neighbors, Naive Bayes, Linear Regression, Logisitic Regression etc.
Unsupervised Learning :
K-Means Clustering, Hierarchical Clustering, Association Rule Mining, and LDA.
Packages and Libraries:
SciKit Learn, SKimage, OpenCV, NLTK, SpaCy, Pandas, Keras, Tensorflow, HuggingFace, Numpy, BeautifulSoup, Matplotlib, Regular Expression, Polyglot, TextBlob, Gensim, Caret, TM, Dplyr, Ggplot2, e1071, RShiny, Data Explorer, Tidyverse etc.
Apache Airflow, Google Cloud, PyCharm, Jupyter Notebook, DBT (data-ware house transformations), BigQuery, RStudio, Github (version control), CUDA, DataStudio, Tableau etc.
Sohbet üzerinden herhangi bir detayı tartışmak için giriş yapın.
Burada görülecek hiç değerlendirme yok!
Orderchamp B.V. The Netherlands
Oca 2022 - Şu anda
Primarily, I am responsible for the product ranking and different recommendation-based containers being shown to each user. I am maintaining the pipeline for each module (product ranking, recommendations, fallbacks, etc.) with CI/CD mechanism using Apache Airflow (in the Google Cloud environment). I have done some EDAs (i.e. monitoring user behavior and bounce rate) and designed some dashboards (in DataStudio) to monitor KPIs of the new product ranking and other recommendation modules.
Radboud University, The Netherlands
Nis 2017 - Şu anda
Research: Automatically generating a chest X-ray report given an image/scan.
Datasets: Multiple chest X-ray datasets (Image + textual report) from different hospitals.
We have devised various solutions (models and metrics) for the report generation models (Convolutional Neural Network (CNN) for the feature extraction task and Recurrent Neural Network(RNN)/ LSTM for the other Natural Language Processing (NLP) tasks) and published them in reputed journals.
Data Science expert/ researcher
ITU/ PITB, Lahore, Pakistan
May 2015 - Haz 2016 (1 yıl, 1 ay)
I worked on a variety of projects including applied and research-oriented. For instance, In one of the projects, we used primary health care data and augmented it with socio-economic and weather data to study cross-disease and cross-locality impacts on four different diseases. Using descriptive and predictive analytics, our outbreak prediction model highlighted combinations of factors influencing disease outbreaks that can guide administrators towards their mitigation (published work).