Hi, my name is
Muhammad Haseeb.
I build things with Data.
Navigating data's labyrinth, I craft narratives from numbers, revealing pathways to success with every insight. Let's decode the language of data together, transforming complexity into clarity and innovation into action. Currently working with Client Point.
About Me
Hello! My name is Muhammad Haseeb and I enjoy creating things that live on the internet. My interest in Data started back in 2020 when I decided to move into data fields I try doing different projects and turns out I really enjoy it.
Fast-forward to today, and I’ve had the privilege of working at ClientPoint. .My main focus these days is building projects, related to LLM's and AI and go to Fiver for a variety of clients.
I also recently recevied an expert title on Kaggle.
Here are a few technologies I’ve been working with recently:
- Apache Spark
- SQL
- Python
- R-Studio
- Power BI
- Excel
Where I’ve Worked
Quality Assurance Analyst @ ClientPoint
Jan 2023 - Present
- Analyze complex datasets to deliver actionable insights for a diverse array of clients, including Harvard Business School, Everytown for Gun Safety, Pratt Institute, Koala Health, Vanderbilt University, The 19th News, and more.
- Partner with creative directors to lead the research and development of data-driven solutions that meet business requirements.
- Collaborate with designers, project managers, and engineers to transform data into compelling visualizations and reports for clients and stakeholders.
- Provide leadership within the data analytics team through close collaboration, knowledge sharing, and mentorship.
Some Things I’ve Built
Featured Project
Transaction Analysis
Analyzing a transaction dataset to detect fraudulent activities using various Machine Learning Models, including Naive Bayes, Logistic Regression, and Decision Trees compared based on their accuracy and confusion matrices to determine the most effective classifier for fraud detection.
- VS Code
- Python
- Detection
- Machine Learning
![Transaction Analysis]()
Featured Project
Apriori AR
This outlines the steps to import data, visualize it, apply the Apriori algorithm to discover association rules, and evaluate the results.
- Jupyter Notebook
- Python
- Visualizations
![Apriori AR]()
Featured Project
DL Time-Series Approach
In this particular project the Dataset used in the analysis and prediction is an Apple stock price data and the Algorithms are LSTM, RNN, SVM, and ARIMA. Things are inculded are Correlation matrix, Feature selection, Experiment Setup, and Results.
- React
- Express
- Spotify API
- Styled Components
![DL Time-Series Approach]()
Other Noteworthy Projects
Apriori Algorithm to Discover Association Rules
Steps to import data, visualize it, apply the Apriori algorithm to discover association rules, and evaluate the results.
Educational Analysis
Applied and compared classification algorithms, and found that excessive use of e-learning tools significantly impacts student performance and psychological health.
Web Phishing Detection
Develop and compare machine learning-based frameworks for reliably identifying phishing websites, addressing the limitations of blacklist-based methods.
XML to CSV
Converts data from XML format to CSV format.
Simple Image Processing
Applies a basic image processing operation in a single line of code.
Simple Image Processing
Applies a basic image processing operation in a single line of code.
What’s Next?
Get In Touch
Although I’m not currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
Howdy!