Shahzar Ansari

Brainstorming and researching ideas to find the best solution for the given problem. Translating technical details to business solutions to present to non-technical clients. Preprocessing data for analysis and building predictive model using excel, pandas, and numpy. Analysis of prepared data to get a better understanding and look for underlying patterns. Using tools such as plotly, seaborn, and matplotlib. Studying the data for feature engineering, building model and explaining it to understand feature importance using random forest, xgboost, and SHAP. Designing and implementing time series model using LSTM. Hyperparameter tuning the LSTM to improve the model. Created story boards for analysis of data for non-technical user-end. Wrote scalable code for several functions of Data Science process. Such as data analysis, preprocessing, and modeling. Created widgets for drag and drop feature for data analysis dashboard for generic business use cases.

Wrote automation website for creating service report for biomedical equipments using python and flask. Automated calculations of quality assurance of radiotherapy equipments using python. Wrote embedded system code for touch screen display for radiation dosage detector. Design electronics circuits and wrote embedded system code a product launched by the company.

Python | Pandas | NumPy | Tensorflow | PyTorch | Scikit-learn | OpenCV | NLP | Plotly | PIL | Flask | SQLAlchemy | REST API | Tesseract | Selenium | SQL | C# | .NET | HTML | JavaScript | jquery | node.js | Angular | Bootstrap | Puppeteer | Statistics