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Muhammad Tawab S.

@Tawabshakeel

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5.0
1
3.8
3.8
100%

Data Scientist | Machine Learning Engineer | XAI |

$25 USD / 小时
・
的国旗
Pakistan (8:21 下午)
・
加入于十二月 27, 2023
$25 USD / 小时
・
Experienced Data Scientist and Machine Learning Engineer with a passion for harnessing the power of data to drive innovation and solve complex problems. Specialized in building cutting-edge machine learning models and leveraging Explainable AI (XAI) techniques to ensure transparent and interpretable insights. A Google Cloud Platform (GCP) Data Engineer skilled in designing and implementing data pipelines and cloud-based solutions to extract, transform, and analyze data for actionable business intelligence. Committed to delivering data-driven solutions that empower organizations with a competitive edge and the ability to make informed decisions.
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11575854
Combined COVID cases with Pollution (pm2.5) and Weather (temperature) to figure out the correlation https://bigbyteinsights.com/covid19
Covid Analysis
11575860
Dptron is an in-memory platform built for distributed & scalable data cleaning & preparation. DPtron is written in Python and is built on PySpark to deal with large amounts of data seamlessly. It uses an implementation of machine learning and deep learning algorithms to perform important data cleaning & preparation steps automatically. Dptron is extensible so that developers, analysts & scientists can streamline the process of data cleaning & preparation for better decision making while becoming more productive. Decision-making is better & easier if the data is clean otherwise it’s garbage-in and garbage-out. https://github.com/ms8909/mltrons-auto-data-prep
Dptron
11575903
ExplainX is a model explainability/interpretability framework for data scientists and business users. https://github.com/explainX/explainx Article - https://medium.com/analytics-vidhya/explaining-the-machine-learning-catboost-model-using-explainx-8e62130b7800
Explainx
11575854
Combined COVID cases with Pollution (pm2.5) and Weather (temperature) to figure out the correlation https://bigbyteinsights.com/covid19
Covid Analysis
11575860
Dptron is an in-memory platform built for distributed & scalable data cleaning & preparation. DPtron is written in Python and is built on PySpark to deal with large amounts of data seamlessly. It uses an implementation of machine learning and deep learning algorithms to perform important data cleaning & preparation steps automatically. Dptron is extensible so that developers, analysts & scientists can streamline the process of data cleaning & preparation for better decision making while becoming more productive. Decision-making is better & easier if the data is clean otherwise it’s garbage-in and garbage-out. https://github.com/ms8909/mltrons-auto-data-prep
Dptron
11575903
ExplainX is a model explainability/interpretability framework for data scientists and business users. https://github.com/explainX/explainx Article - https://medium.com/analytics-vidhya/explaining-the-machine-learning-catboost-model-using-explainx-8e62130b7800
Explainx
修改已保存
5.0 · 1 Review
评论
M
Privet Project - Confidential • £600 GBP
We are extremely pleased with the work completed by the technical team on our API integration project. Their dedication, expertise, and professionalism were evident throughout the entire process. The team demonstrated exceptional technical skills, tackling complex challenges with innovative solutions and maintaining clear and proactive communication at every stage. Highly Recommended!
Amin O.
@mrordikhani
•
的国旗
London，United Kingdom
•
5 个月前
分享
经验
Big Byte Insights
7月, 2018 -现在
•
6 年, 4 个月
Co Author | Co Founder | Explainable AI Researcher | Explainx
5月, 2022 - 现在
•
2 年, 6 个月
NYU-affiliated startup pioneers Open Source ML interpretability. Researching Explainable AI, developing a distributed library for global/local explanations, summary plots, etc. Focus on visualization for model insights and real-time monitoring. Python, Plotly-Dash, Pandas, Numpy, Scikit-Learn, H2o, SHAP, Catboost, Xgboost. Research spans local/global explanations, data distributions, cohort analysis, and ranking similar profiles.
Data Scientist | Machine Learning Engineer | XAI | GCP Data Engineer
7月, 2018 - 5月, 2022
•
3 年, 10 个月
- Work on Alternative Data to figure out Actionable Insights - Use Statistical and Machine Learning Approaches to Discover Useful Insights - Identify abnormality in the data using unsupervised ML Algorithms - Work On Data Science Architecture PipeLines to Maintain Data - Work On Data Visualization for Presenting Insights and identifying abnormal data records. Languages: Python, SQL Database / Data Warehouse: MySql, Postgres, Snowflake
7月, 2018 -现在
•
6 年, 4 个月
Data Scientist
8月, 2019 - 1月, 2020
•
5 个月
mltrons.ai
8月, 2019 - 1月, 2020
•
5 个月
- Worked on Distributed and Scalable Data Cleaning Library that wrangles the data automatically using Sophisticated Machine and Deep Learning Algorithms - Worked on Auto ML library that helped in identifying the best model and its hyperparameters based on the accuracy - Worked on Data Pipelines and Model Deployment Using AWS services Languages: Python Libraries: Pandas, Numpy, Scikit-Learn, Keras Distributed System Libraries: PySpark, Dask Cloud Platform: AWS services
8月, 2019 - 1月, 2020
•
5 个月
教育
Bachelor of Computer Science (BCompSc), Computer science
2014 - 2018
•
4 年
的国旗
Pakistan
2014 - 2018
•
4 年
资质
Google Cloud Certified Professional Data Engineer
2023
Google Cloud Platform
Google Cloud Certified Professional Data Engineer
2023
Fundamentals of Scalable Data Science
2019
IBM
Fundamentals of Scalable Data Science Certified
2019
Python for Data Science
2018
IBM
Python for Data Science Certified
2018
资质
Freelancer Orientation
Freelancer Orientation
P
Preferred Freelancer Program SLA
US English - Level 1
US English
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