M. Atif Ayaz Email and Phone Number
A self-motivated and results-driven Data Scientist with expertise in deep learning, OCR, and Facial Fraud Detection. Adept at effective communication and collaboration, I am driven by a passion for driving innovation through data.A visionary Team Lead, fueled by a relentless passion for problem-solving, empowering my team to conquer new frontiers in innovation.Looking forward, I am committed to leveraging AI to tackle real-life problems in areas like environmental conservation. I envision harnessing AI's power to optimize resource management, mitigate climate change impacts, and promote sustainable practices, contributing to a better and greener future for our society.Inspired by Andrew Ng, Geoffery Hinton & Ian GoodfellowIn development - Inspired by Mosh Hamedani
Systems Limited
View- Website:
- systemsltd.com
- Employees:
- 2171
-
Senior Consultant Data ScienceSystems Limited Jan 2024 - PresentLahore, Punjab, Pakistan1. Predictive Modeling for Sales forecasting.2. Apply state of the art time series models to make accurate sales forecasts.3. Use ensemble techniques to use combined results of the models instead of using just a single model. -
Sr. Data ScientistMachine Learning 1 Limited Jan 2022 - Dec 2023Lahore, Punjab, PakistanRoles and Responsibilities:1. Research and development to improve existing deployed models.2. Problem Solving with AI efficiently and accurately.3. Designing architectures for production.4. Lead AI/ML engineers to build solutions according to the client's requirements.5. Analyse the existing platform and optimize the whole workflow of the product analytically.6. Created a feedback loop system for training models without delay and improving the model's accuracy.7. Presented data to stakeholders to make valuable decisions.8. Assist different teams to meet tight deadlines. -
Senior Data ScientistProgrammers Force Jan 2021 - Dec 2021Lahore Division, Punjab, Pakistan1. Machine learning practices (Data pipelines, Computer Vision, Data engineering, Documentation, Git, Customise Deep learning Models).2. Python data science tech stack (e.g. pandas, NumPy, sci-kit-learn, PySpark, PyMC3, Dash, Plotly). 3. Extract OCR from documents, Identify fields on Cards, Check the validity of a card4. Identify if a video has a live face or fake face (picture of another person, mobile screen) -
Mid Level Data ScientistProgrammers Force Jan 2020 - Dec 2020Lahore, Punjab, Pakistan1. Research on OCR. 2. Deployment of the system which extracts text from the documents3. Training, evaluation and testing of tesseract models4. Pre-post processing to get the exact text from the documents5. Research on the paddle-ocr and tesseract6. Research on Document originality i.e Video or image contain a live card, 7. Design a Deep learning architecture to validate if the document is not a replay attack8. Design a deep learning architecture to validate if the document is not a print9. Design a system to check if fields of the cards are photo-shopped with some tool or original -
Associate Data ScientistProgrammers Force Aug 2019 - Dec 2019Lahore, Punjab, Pakistan1. Implement Object detection models such as YOLO and Mask RCNN.2. Visualisation of Data points for higher management.3. Evaluate models trained based on the set parameters.4. Optimization of Python code.5. Use Linux commands for fast processing.
M. Atif Ayaz Education Details
-
Bachelor Of Technology - Btech -
Computer Science
Frequently Asked Questions about M. Atif Ayaz
What company does M. Atif Ayaz work for?
M. Atif Ayaz works for Systems Limited
What is M. Atif Ayaz's role at the current company?
M. Atif Ayaz's current role is Sr. Consultant Data Scientist | Deep Learning | Computer Vision | ML | LLM Specialist.
What schools did M. Atif Ayaz attend?
M. Atif Ayaz attended University Of The Punjab, Punjab Group Of Colleges.
Who are M. Atif Ayaz's colleagues?
M. Atif Ayaz's colleagues are Essam Ur Rahman, Maheen Ali, Shoaib Mir, Saif Ur Rehman, Ahsan Khalid, Irfan Munawar, Noman Khan.
Free Chrome Extension
Find emails, phones & company data instantly
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial