Name: Muhammad Osama
Type: User
Company: Unique Computing LLC
Bio: Professional Data Scientist with experience in Data Analysis, Data Visualization, Statistical Analysis, Machine Learning, Deep Learning & Big Data Analysis.
Location: Springfield, VA
Blog: https://mosama1994.github.io/
Muhammad Osama's Projects
Abstractive Text Summarization using Transformer
Using PowerBI to create a dashboard for analysis of adventure works cycles data set to track KPIs (sales, revenue profit, return), compare regional performance, analyze product-level trends and forecasts, and identify high-value custiomers.
A collection of the most important Github repos for ML, AI & Data science practitioners
Let ChatGPT teach your own chatbot in hours with a single GPU!
Big Data Analysis of Airline Dataset using Pyspark, MLlib, Clusters on Google Cloud
Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.
Data and code behind the articles and graphics at FiveThirtyEight
Flex Dashboard created using R, for visualization and analysis of College Majors Data Set
Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.
Hospital Management System Database implementation in SQL
Process scheduling using priority Queues & Array Lists in JAVA
Llama 2 Prompting Style
My Portfolio
Setup a Apache Kafka on Linux using JAVA (Gradle). Setting up producers to produce data into Kafka from wikimedia and then setting up consumers and pulling data into Open Search.
Train transformer language models with reinforcement learning.
Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.
Implementation of Yolo v3 object detection fully convolutional neural network model in Tensorflow & Keras