Acknowledgment: https://zeeshanusmani.com/2019/12/24/top-30-aspiring-data-scientists-from-pakistan/ An energetic Data Scientist, executing Data-Driven solutions to deliver valuable insights via Data Analytics and Machine Learning methods. Passionate about building models to solve real-world business challenges. Tools & Technologies: Programming languages : Python, Java, R, SQL Web Programming : Html, CSS, NodeJS, JavaScript, Typescript Frameworks And Libraries : Keras, Scikit-learn, Tensorflow, MNE, Numpy, SciPy, Pandas Data Visualization : Seaborn, Matplotlib,plotly, SHAP Databases : MongoDB, MySQL, NO SQL, Oracle Version Controlling : Git, SVN Deployment and Cloud : MS Azure, IBM Watson, Oracle IoT Neural Nets & Deep Learning : Multi-Layer Perceptron Neural Nets, Recurrent Neural Network, Long Short Term Memory Network, Convolutional Neural Network, Transfer Learning Machine Learning : Logistic Regression, Decision trees, XGboost, Random forest, AdaBoost, Support Vector Machine, Linear Regression, KNN, Naïve Bayes, K-means Clustering algorithms, ARIMA and Prophet time series Model, Recommendation System, Transfer learning Responsibilities: • Use machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, and accuracy • Work with technical teams in the development and application of applied analytics, predictive analytics, and prescriptive analytics • Work in productizing deep learning and computer vision algorithms • Develop high precision classifiers and tools leveraging machine learning, regression, and rule-based based models • Work with product managers to formulate the data analytics problem • Showcase research publications in top international journals and conferences