Data Scientist with experience in data analysis, data visualization, natural language processing, machine learning, deep learning ,Power BI and Tableau.
Specializing in feature extraction from unstructured data and classification with a deep understanding of modeling algorithms including Regression, Support Vector Machine, Neural Networks, Deep Learning (CNNs, RNNs), Gradient Boosting Decision Tree (XGBoost), Random Forest, Clustering, and Naive Bayes classifier.
Proficiency in machine learning and statistical packages in Python , Deep Learning in Tensorflow and Keras, and hands-on experience with Google Colab.
Programming/Software: Python (Numpy, Pandas, Statsmodels, Scikit-Learn, Keras, Tensorflow), SQL,
Data Visualization: Matplotlib, Seaborn, Power BI, Tableau
Big Data: Apache Spark (PySpark)
๐ Nationality | ๐ต๐ฐ Pakistan |
๐ก Residency | ๐ฆ๐ช United Arab Emirates |
๐ Location | ๐ฆ๐ช United Arab Emirates |
Remote OK | rok.co/@farheen_shaukat |
GitHub | farheen-arsalan |
https://farheen-shaukat-83a7b9b6 | |
farheenshaukat | |
Skilled in | python power bi tableaou knn cnn nn supervised learning unsupervised learning time series feature engineering sql pyspark pycaret |
Fluent in | englishurdu |
Preferred timezone | -4,+1,+4 |
Preferred annual pay (min) | $100,000/year |
Preferred hourly pay (min) | $10/hour |
Last seen | 8 months ago |
Signed up | 1 year ago |
Badges |
๐ฉโ๐ป Remote worker ๐ Early adopter |
2020 - 2021: web developer @ Mauritz Jarl
2014 - 2016: MCs @ SBK Women University