Successful in restructuring complex business processes through comprehensive data analysis and data-driven machine learning solutions development Detail-oriented professional with broad exposure of analyzing and interpreting large datasets, designing business models, and generating strategic reports to support strategic decision making. Demonstrated expertise in extracting and evaluating sophisticated data, translating results into understandable terms, specifying areas of improvement, and providing innovative data science solutions. Engaging presenter and communicator with an aptitude to foster lucrative relationships with partners and build consensus across multiple organizational levels.
Senior data scientist
- Deploy model on Azure
- • Create Recommend system for E-commerce on Azure ML-studio, and deploy using ML-studio and
- • create a market analysis using SQL
- • working on the Lambda function
- Pakistan Railway Face recognition base Attendance :
- create a face recognition system in Pakistan Railway using Machine learning. in this project working
- in Realtime environment. this project was very challenging for us, because of light and resource
- effects. In this project, we get 99% accuracy against 3000 employees in one site
- TensorFlow, MySQL, panda, NumPy, OpenCV, keras, Azure-mlstudio, K-near neighbor, Sklearn,
- Pakistan Railway Train Tracking system:
- in this project working to track train using tagging system. read tag using tag reader device and
- update with time, speed. and location of the train.
- SQL, panda, NumPy, Pycharm
- NRTC Number Plates:
- In this project working on NRTC to create number of Plates. using peddle OCR for reading laser
- number and yolov4 for (laser number detection ) object detection. In this project working on
- raspberry pi and deploy model on raspberry pi
No Border Innovation
- News recommender system:
- Create news recommendations system using deep learning. In this project I create model
- structure using tensorflow. This recommendation working on content-based filtering.
- Libraries: tensorflow, pandas, sql, numpy, keras
- ❖ Instagram chat bot
- Create bot for Instagram who help upload your picture on your profile. And like,
- comments and followings other users on Instagram.
- Libraries: tensorflow, pandas, sql, numpy, NLtk
- ❖ General Chat-bot:
- Create a chat bot who communicates with other people and find the interest of that
- person. This bot store personal information of the user who use it.
- Libraries: tensorflow, sql, pytroch, panda, numpy
- ❖ Working to creating text to summarization
- ❖ create AI model to predict the cryptocurrencies after five mins prices
- ❖ create 2-D image to 3-D mesh
- Used LSTM and GRU create a model to predictive next 7, 15- and 30 minute price of the stock. Create
- model to detect news fake or real using NLP and using transfer learning in Grover model. Worked in
- Reinforcement learning to develop a model to beat Alpha-Zero model in chess or other games. Worked in
- text to voice using AI model in this model (dc-tts model ).
- AI Chess:
- In this project work in reinforcement learning. Using reinforcement learning create an algorithm for playing
- a chess game more than super-man. In this project we beat the Alpha-zero and Leela chess in world
- competition of AI chess.
- Tools & libraries Used: python, DQN, CNN, Tesnsor-flow
- Stock Predication:
- The Goal of this project is to provide help and support to company customer to predict the price of the
- stock and invest in stock markets. Objective to detect the prices of the stock price next 7,15 and 30 mins.
- Our solution takes input as close price of stock different periods as different prediction days and giving the
- price of the next days in stock
- Tools Used: Python, RNN, FLASK,, PyTorch
- News Revealer:
- The Goal of this project is to provide a website in which detect the news is real or fake using the AI model.
- In this project use the neutral network for train and predict response of different user about our project.
- Tool Used: python, sql, Grover, Flask, NLP, and Tensorflow
Senior Data Scientist
- create a model for find the sport cards using VLID descripts and year classifier. in this project I create
- training pipeline using sagemaker-sdk on aws. sport Finding model deploy on ec2 server. user request
- handling using RebitMQ. And search on large data using milivus.
- website link, https:// www.ludex.com
- TensorFlow, pytorch, milieus, RabbitMQ, Aws, Ec2-server, S3, lambda function, sagemaker notebook AWS,
- MLOps, VS-code
- Prediction Next ports:
- using the previous traveling history of the vessel predict the next 5 Ports and also to similarities. deploy
- model using ML-studio Azure and Databricks to create pipeline.
- TensorFlow, data bricks on azure, ML-studio Azure, Azure-Devops , Sk-learn, Pycharm, Azure Databricks
- NER for Certificate:
- using the name entity recognizer model extract the issue date, expire date, name and company name from
- pdf certificate. Model training on Azure Databricks
- Azure-ml_studio, Azure-Databricks, Azure-devops , SK-learn, pycharm
- Table detection:
- using cascadetabnet detect table borderless or not on pdf deploy on Azure ml-sudio using registry the
- ML-studio-gpu, azure-databricks VS-code
- Product DBM:
- using the OCR to extract the Text data from pdf than apply some NLP technique to find component main,
- main machinery and other parts of the vessel. using Databrick to analysis data from MangoDB
- website link, https://dbm.jibe.solutions
- EC2 server GPU, S3, lambda, azure-databricks VS-code
- Jibe eye:
- ABOUT ME
- WORK EXPERIENCE
- this product deploy inside the ship. This product contain multiple computer vision model like help
- detection, face detection, violence detection. and main part detection in side the ship on real time. create
- docker to help on deploy side and health check for the system
- system GPU, docker, bash script, VS-code, tensorflow
university of gujrat
BS software engineering
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