m
mub_solutions

M Uzair

@mub_solutions

B2B Business Developer

Paquistão
Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
🚀 Hi, This is Uzair! Software Engineer with strong communication, attention to detail & analytical skills. I provide accurate 📌 Data Entry, 📊 CRM Management, 🧾 Business Support, and 📑 Software Documentation (SRS, SDS, WBS, BRD). I’m skilled in organizing data, maintaining records, preparing clean documentation, and supporting teams with structured reporting. Let’s make your workflow faster, cleaner & more professional ✅ ... Saiba mais

Habilidades

m
mub_solutions
M Uzair
offline • 

Conheça meus serviços

Digitação de Dados
I will deliver high quality data entry with fast turnaround
Assistência geral
I will manage your CRM by updating leads and organizing data

Experiência profissional

B2B Business Developer

- • Autônomo

Aug 2025 - Present11 mos

Performed accurate data entry and record management with strong attention to detail. Supported business operations through organized documentation and reporting. Assisted in CRM data handling, updating client/customer information and maintaining clean records. Created and structured software documentation including SRS, SDS, WBS, and project reports. Applied strong communication and problem-solving skills to support team coordination. Worked on software projects using OOP principles, ensuring structured and maintainable work. Managed project tasks and documentation for academic and development-based projects.

Data Science

Xaloon • Meio período

Feb 2025 - Apr 20252 mos

• Built and implemented real-time face detection pipelines using deep learning models like YOLO and MTCNN. • Developed facial landmark detection systems using MediaPipe and Dlib for accurate face mapping. • Optimized AI models for deployment using TensorFlow Lite and ONNX, improving real-time performance. • Worked on virtual makeup AR algorithms using facial landmarks and geometric transformations. • Trained ML models like XGBoost for house price prediction using EDA and feature engineering. • Built an NLP-based sentiment analysis model on Twitter data using TF-IDF + Logistic Regression. • Performed time-series forecasting using ARIMA, evaluating results using MAPE. • Designed and trained a CNN-based face mask detection model and integrated it with real-time OpenCV face detection. • Evaluated deep learning models using industry metrics such as IoU, precision, and recall. • Collaborated with cross-functional teams (frontend/AR) to integrate and test AI models in real applications.