Abdul Raheem Shahzad Data Science and Machine Learning Instructor
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1. Gold medalist in Bachelors (Software Engineering)

2. Data Science and Machine Learning Instructor at Codanics
to verify:
https://www.youtube.com/watch?v=4qltZ8WUd4g&t=12s

3. Ranked as Notebook and Dataset expert in kaggle and got a silver medal in kaggle competition.

4. FRAMEWORKS

Scikit-Learn
Tensorflow
Pytorch
Streamlit

5. SKILLS RELEVANT TO DATA SCIENCE

Data Extraction for Meta-Analysis
Data Wrangling.
Data Visualization.
Exploratory Data Analysis.
Statistical Tests.
Data Augmentation.
Machine and Deep Learning

6. IDE / TOOLS

VS-code
Google Colab
DeepNote (for team collaboration)
MySQL Workbench
MS-Excel.
R-Studio.
Webplot digitizer
Canva

7. Data Science competitons
Machine Learning Based Leukaemia Cancer Prediction Using Protein Sequential Data (Open house FYP)
Made a dashboard using Streamlit which predicted leukemia cancer by using Protein Sequential data, XG boost achieved 94.5%accuracy. (avaible in Github profile)
"Sastaticket".
In this project, I performed EDA on time series adata of arrival and departure time in airline to predict sweet spot for travelers. (avaible in Github profile)
2022 Kaggle Machine Learning & Data Science Survey
Our team performed an EDA on this competion and awarded by Silver medal (available in kaggle Profile)
Our Team made a Dashboard based on Convolutional Neural Network, we trained our system on Cifar-10 we achieved an accuracy of 89.7% by using Data Augmentation (avaible in Github profile)
Datadanics
Our Team made a Dashboard based on Convolutional Neural Network, we trained our system on Cifar-10 we achieved an accuracy of 89.7% by using Data Augmentation (avaible in Github profile)

8. Data Science and Machine learning Projects:
In this project we predicted MBTI personality types and on the basis of data provided and a deployed a web app through streamlit.
MBTI Personality Prediction Dashboard Using ML:
Breast Cancer Prediction Using Multi-Machine Learning Model:
Made Dashboard using Streamlit (avaible in kaggle profile)
I performed Exploratory Data Analysis on American Accidents and predict specific timing for Accidents. (avaible in kaggle profile)
EDA on American Accidents Data:
Sentiment Analysis on IMBD Film reviews (NLP):
I performed sentiment analysis on the dataset of review to detect weather it a positive or negative comment about a movie.
Programming Language Classification on Stack Overflow:
I performed classification task on predicating programming language based on the question asked on stack overflow (avaible in Github profile)
Mini Talking Ali bot:
In seven semester I made a talking chat bot based on NLP as semester project.

Subjects

  • Data Analytics O level-Doctorate/PhD

  • PyTorch O level-Doctorate/PhD

  • Data Science and Machine Learning Bachelors/Undergraduate-Doctorate/PhD

  • Data analysis and visualization Bachelors/Undergraduate-Doctorate/PhD

  • Scikit learn Bachelors/Undergraduate-Doctorate/PhD

Experience

  • Data Science and Machine Learning Instructor (Sep, 2022–Present) at Codanics, Faisalabad
    Teaching Data Science relevant coding online, Basic of Python to Advance coding tailored for data science, Machine learning and Deep learning as well as Statistics relevant with it. To verify:
    https://www.youtube.com/watch?v=27juI03aJP8
    https://www.youtube.com/watch?v=M4f3yIgMr1A&t=42s

Education

  • BS Software Engineering (Gold Medalist) (Oct, 2018–Nov, 2022) from Cecos University of Science and technology–scored 3.95 / 4

Fee details

    Rs1,500–5,000/hour (US$5.40–18.01/hour)

    The fee is depending on the subject area which client want to study.

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