Muhammad Danial Ahmad Qureshi
Istanbul,34
Summary
Experienced in solving diverse real-world problems using machine learning and data science techniques. Proficient in tools such as pandas, matplotlib, numpy, scikit-learn, TensorFlow, and OpenCV. Skilled in developing predictive models for healthcare, real estate, image classification, and email spam detection. Adept at utilizing Amazon SageMaker for end-to-end machine learning workflows and proficient in data wrangling and preprocessing techniques. Known for proactive work ethic, effective communication, and dedication to achieving organizational objectives. Eager to contribute expertise and drive success in impactful projects.
Overview
4
4
years of professional experience
Work History
Machine Learning and Data Science
Self
11.2023 - Current
- Developed and tested machine learning models to identify patterns in large datasets.
- Analyzed data using various Machine Learning algorithms such as K-means clustering, Naïve Bayes and Random Forests.
- Created custom algorithms to improve the accuracy of predictions based on existing data.
- Conducted research into new technologies and methods related to Machine Learning applications.
- Developed strategies for collecting and preprocessing data for use in Machine Learning projects.
Projects
Self
01.2024 - 04.2024
- Predicting Heart Disease: Developed a machine learning model to predict the likelihood of heart disease in patients.
Utilized pandas for data manipulation, matplotlib for data visualization, and numpy for numerical computations.
Employed scikit-learn for implementing classification algorithms and TensorFlow for building and training deep learning models.
- House Price Prediction: Worked on a regression problem to predict house prices.
Analyzed features such as location, size, and amenities using pandas for data preprocessing.
Visualized data distributions and relationships with matplotlib.
Utilized numpy for numerical computations and scikit-learn for implementing regression algorithms.
- Image Classification with CNN: Implemented a Convolutional Neural Network (CNN) for image classification tasks.
Utilized TensorFlow for building and training the CNN model.
Preprocessed image data using numpy arrays.
Visualized model performance and analyzed results with matplotlib.
- Color Sorter Project using OpenCV: Designed and implemented a hardware-based color sorting system.
Integrated OpenCV for color detection and sorting with a robotic arm and camera setup.
Utilized numpy arrays for handling image data and matplotlib for visualizing sorting results.
- Email Spam Detection: Developed a spam detection system for emails.
Employed natural language processing (NLP) techniques with pandas for data preprocessing.
Utilized scikit-learn for implementing machine learning algorithms such as Naive Bayes or Support Vector Machines.
Visualized email statistics and model performance using matplotlib.
- Amazon SageMaker and Data Wrangling: Proficient in using Amazon SageMaker for machine learning tasks, including model training and deployment.
Experienced in data wrangling and preprocessing techniques using pandas within the Amazon SageMaker environment.
CS Research Field
Freelancer
02.2020 - Current
- Conducted literature reviews and synthesized research findings to inform project objectives.
- Drafted manuscripts for publication in peer-reviewed journals, including content editing and formatting.
- Maintained detailed records of all research activities and prepared reports summarizing the findings.
Web Development Intern
Virtual Labs
Lahore
06.2021 - 09.2021
Data Science and Machine Learning Instructor
Arfa Kareem Tower
Lahore
01.2024 - 07.2024
- Reviewed academic papers related to AI topics in order to keep abreast of current trends.
- Assessed student performance through grading of written assignments and oral presentations.
- Mentored students interested in pursuing a career in Artificial Intelligence related fields by providing advice on course selection and resources for further study.
- Analyzed data sets using various tools such as Python, R Studio and TensorFlow for use in projects or demonstrations during class sessions.
Education
Certification - Python Programing
Udemy
12-2023
Bachelor of Science - Computer Engineering
European University Of Lefke
Turkey07.2022
Associate of Science - Intermediate In Computer Science
CFE Group of Colleges
Lahore05.2018
High School Diploma -
Govt. Islamia High School Mughalpura
Lahore05.2016
Certification - Machine Learning And Data Science
Udemy
03-2024
Skills
- Code Writing
- Software Development
- Python Programming
- Machine Learning Model Training
- Data Analytics
- Deep Learning
- Model Development
- Project Management
- Issue Research
- Content Management Expertise
- Organization and Time Management
- Excellent Communication
- Effective Communication
- Problem-Solving Abilities
Affiliations
- I have been actively participating in professional hardball cricket for the past seven years.
Accomplishments
- Topper of the School In BISE Lahore Exams
- I was awarded an honor certificate during the academic year 2018-2019 for my performance in engineering studies.
Languages
Urdu
First Language
English
Proficient (C2)
C2
Turkish
Intermediate (B1)
B1
Timeline
Projects
Self
01.2024 - 04.2024
Data Science and Machine Learning Instructor
Arfa Kareem Tower
01.2024 - 07.2024
Machine Learning and Data Science
Self
11.2023 - Current
Web Development Intern
Virtual Labs
06.2021 - 09.2021
CS Research Field
Freelancer
02.2020 - Current
Certification - Python Programing
Udemy
Bachelor of Science - Computer Engineering
European University Of Lefke
Associate of Science - Intermediate In Computer Science
CFE Group of Colleges
High School Diploma -
Govt. Islamia High School Mughalpura
Certification - Machine Learning And Data Science
Udemy