t
tanjena_manzoor

Tanjeena M

@tanjena_manzoor

Data Scientist

Pakistan
Anglais, Ourdou, Punjabi
Certaines informations sont présentées en anglais.
À propos de moi
I am a Data Scientist and Machine Learning Engineer with extensive experience in building AI solutions using Python, PyTorch, and TensorFlow. I specialize in Computer Vision, LLMs, and VLMs, having developed scalable pipelines for image generation, face recognition, and predictive modeling. I am proficient in deploying REST APIs and integrating databases to solve complex real-world problems.... Plus d’infos

Compétences

t
tanjena_manzoor
Tanjeena M
hors ligne • 

Voir mes services

Sites web IA & Logiciel
I will do machine learning, deep learning, nlp and computer vision projects
De30 $US / projetPlus de détails
Sites web IA & Logiciel
I will do machine learning and deep learning projects in python
De30 $US / projetPlus de détails

Portfolio

Expérience professionnelle

ImagenAI

Computer Vision Associate Engineer

ImagenAI • Temps plein

Jun 2024 - Apr 2026 • 1 yr 10 mos

I worked in Python, Pytorch, Tensorlfow, and Stable Diffusion for image generation and model optimization. •Built multi-processing pipelines and integrated Civitai models for generative AI projects.

Analytics

Data Analyst

Analytics • Temps plein

Feb 2022 - May 2022 • 3 mos

Understand all the basic terminologies related to Data Science and Data Analytics ● Worked on EDA, Feature Engineering, Data Pre-processing and Data modeling ● Developed and Implemented Different Machine learning and Deep learning projects ● Created ML API’s and Deployed on free server.

Tahara

ML Engineer

Tahara • Temps plein

Dec 2020 - Dec 2021 • 1 yr

Built and optimized machine learning and deep learning models to detect anomalies in large-scale network traffic, improving system reliability and threat identification accuracy. • Applied advanced CNN-based techniques to analyze image datasets, detect manipulations, and classify real vs. AI-generated content, enhancing automated image verification pipelines. • Designed and implemented privacy-preserving federated learning workflows to train healthcare prediction models across distributed data sources without exposing sensitive information. • Developed federated learning–based credit risk assessment models, enabling secure distributed training on financial data while maintaining high prediction performance and strict data confidentiality.