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خلاصہ
I am a data scientist and a passionate AI engineer who is actively looking for opportunities. I specialize in computer vision, natural language processing, deep learning, neural networks, and predictive machine learning model preparation.
I have full command over Python, SQL, MySQL, OpenCv, PyTorch, TensorFlow, TensorRT, Gensim, spaCy, NLTK, SK-Learn, Keras, Pandas, Matplotlib, Numpy, and Seaborn. Currently, I am an internee ML engineer who is actively looking for opportunities to expand my horizons of knowledge and experience.
My vision is to work in a challenging working environment to contribute to the best of my ability towards the growth and development of progressive organizations and society.
پراجیکٹس
تجربہ
Machine Learning Engineer
Making Dense neural networks for object detection, Image classification, and face recognition using computer vision( OpenCV, Yolo algo, and Haar cascade algo )
Language processing, Sentimental analysis, and Auto-complete sentence using BERT models and libraries such as Gensin, spaCy, NLTK, TensorFlow, PyTorch, etc.
End-to-End Deep learning and machine learning projects.
Taking the correct ML Strategic decision based on observations of performances and dataset
Data preprocessing which includes Feature Extraction, Feature engineering, Feature Selection, and Principal Component Analysis.
Data cleaning data visualization and data manipulation to extract useful insights
Currently working on: Python (Programming Language) · Artificial Intelligence (AI) · Deep Learning · Machine Learning · Natural Language Processing (NLP) · Computer Vision · Scikit-Learn · spaCy · NLTK · Hugging face · BERT · Gensim · OpenCV · Keras · TensorFlow
AI engineer
End-to-End Deep learning and machine learning projects
Taking the correct ML Strategic decision based on observations of performances and dataset
Preparation and deployment of machine learning predictive models using several ML algorithms such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, SVM, KNN, PCA, etc.
Recognize bias, variance, and data mismatch by looking at the performances of the algorithms on train/dev/test sets
GridSeachCv, Cross-Validation, and HyperParameters Tuning of the Neural Networks and ML predictive Models in Python.
Data preprocessing which includes Feature Extraction, Feature engineering, Feature Selection, and Principal Component Analysis.
Data cleaning data visualization and data manipulation to extract useful insights
Skills:
Python · SQL · MySQL · Data Science · Convolutional Neural Networks (CNN) · Natural Language Processing (NLP) · Scikit-Learn · BERT · Gensim · spaCy · NLTK · Yolo algorithm · OpenCV · TensorFlow · Transfer Learning · NumPy · pandas · Applied Machine Learning
Electronics Engineer
Programming of microprocessors and microcontrollers
Repairing of Inverters, PLC, and motor drives
Troubleshooting and repairing after-sale services
Maintaining current procedures manual and databases
Procurement of electronic components and devices
Short Term Expert ( STE )
PROJECT NAME: TVET Sector Support Programme-EU(GOV)
JOB DESCRIPTION:
The main responsibility is to collect information from employers, and provide the employability status of the pass-outs using provided research question and other information as per the research design. Also, provide an updated list of pass-outs having all the data fields as identified in the proforma. And, using prescribed Performa, collect data from institutes and organizations from which data has not been received.
To sum up, my duties include Data collection, compilation, analysis, and Report writing
INTERNEE
during internship period I worked in 3 departments:
services ( including GRID STATION, Traffic control system)
Weapons Fy.
SAA Fy.
