SYED ASEEL

Dedicated and performance-driven Computer and Data Science Engineer with a pro-active approach and determination to successfully finish all assigned projects within budget and schedule. Effective team player because failure has always unfolded a new experience in my journey. Until and unless there are some learnings or some experiences involved, I am open to take up challenges.

• COVID-19 DATA VISUALISATON - One year Covid-19 data was collected from kaggle and was analyzed, visualized and identified patterns from the data. Interactive & user-friendly plots were plotted using data visualization techniques
• Healthcare Chat-Bot - Developed an AI integrated chatbot for the healthcare industry , A patient strikes up a conversation with our medical representative which is an intelligent conversational machine which is programmed to meet all needs and health related queries of the patient providing a 95% success rate.
• Predicting Credit Card Approval - Data from the UCI Machine Learning Repository was collected which had samples of 10,000+ credit card applications. A model to predict credit card approvals using machine learning was designed to ease the job of banking industry.
• Neural Network for Hand-Written Digits Recognition - CNN( Convolutional Neural Network) has been used. Numpy , Tensorflow , Keras , SKLearn , Matplotlib python libraries were set up and put into use. Reshaped and pre-processed data using grayscale pixel values in a 28x28 matrix format. Using sklearn metrics, the confusion matrix was imported and displayed Recall , precision and F1 score was obtained for the the predicated and actual values
• Customer Churn Prediction and Retention Strategy - Loaded , inspected and cleaned the dataset. Exploratory data analysis by importing seaborn and using countplot , boxplot and heatmap revealed important patterns . Predicted modelling was used to split data using sklearn. Random forest classifier was used to predict churn .Added a few business recommendations and used classification report and confusion matrix for performance analysis. Finally used PowerBI to create a interactive dashboard and share business insights.

• Data Science with Python
• Microsoft Power BI
• Data Science for Everyone
• Data Visualization in Python
• Social Media Data Analytics
• Introduction to Artificial Intelligence
• Supervised Learning with Sci-Kit Learn

• Chief Executive Director and Trustee at SAMARTHAN NGO
• Supervised and Conducted a food donation campaign to the underprivileged.
• Conducted medical check ups in slum areas.
• Conducted a charity event to distribute ration and basic necessities.