About me
I am Suhaib Mukhtar, a tech enthusiast with a B.Tech in Computer Science from the University of Kashmir (CGPA: 8.14). I have experience working as a Python Developer at Education Culture Pvt Ltd, where I developed and deployed machine learning algorithms that improved fraud detection by 10% and enhanced sentiment analysis models by 13%. During my time at IIT Delhi, I worked as a Junior Research Fellow, where I improved data accuracy by 7% through data cleaning and dimensionality reduction techniques. I also interned as an AI-ML researcher at IIT Delhi, leading the development of slip detection algorithms and neural network-based haptic solutions, increasing accuracy by 18%. I have successfully led projects in customer churn analysis, multiclass classification, and human activity recognition, achieving high accuracy in predicting behaviors. My deep learning expertise spans projects like drug review sentiment analysis using advanced models like LSTM, Bi-LSTM, and BERT. My technical skills include Python, C, C++, SQL, and expertise in tools like VS Code, PyCharm, AWS, Flask, and machine learning pipelines. I thrive on solving real-world problems through technology, blending theoretical knowledge with hands-on experience to create impactful solutions.
Join me as I continue to push the boundaries of innovation and explore new horizons in technology and beyond!
What i'm doing
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Deep Learning
In Deep learning(DL), i am Skillful in developing neural network architectures such as ANN, CNN, RNN, LSTM, their combinations(Hybrids) and Transfer Learning, from careful setup, effective training, thoughtful evaluation and Model Deployment. To gain hands-on-experience i have implemented various projects in DL, which are making use of technologies such as Natural Language Processing (NLP), computer vision etc.
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Web development
Basic-quality development of sites at the intermediate level. Able to develop the interfaces for the AI models so that to deploy these models over hosting website and make them interactive and userfriendly.
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Machine Learning
Professional development of Machine Learning(ML) models/Algorithms, making use of Pipelines. Able to gather domain knowledge as quickly,using knowledge to perform Data Pre-processing, EDA, Feature Engineering, Model Selection & Development and at the end Deployment of the ML models, which makes them accessbile to all of the Clients/users
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Natural Language Processing(NLP)
In Nlp i am able to perform Data refinement using Natural Language Processing(NLP), utilizing advanced Data Cleaning techniques, Text representation, Development of Models and then deployment to make it useful for public use. Skilled in deploying various Machine learning, Deep learning and GenAI based models that are able to capute the semantic meaning and preserving the Context.
Certifications
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Supervised ML:
Certification from the coursera under the Andrew Ng. In this certified course i understood the concept of regression and classification. -
Crash Course on python
Got certified from coursera on python crash course. In this course i understood the basic concepts of python and implementation of basic four data-types in python. -
Amazon Echo Reviews Sentiment Analysis
it was a guided project in which we i understood the concept of data acquisition, data pre-processing such as removaing stop words,tokenization & padding, implement naive bayes classifier. -
Fine tune BERT for Text-classification
In this course i learned how to use the BERT model for text-classification -
Web development from intershala
in this course i learned html, css, js, DBMS and was a great experience at starting of my carrier.
GitHub
