Nilanjan Das

• Responsible for dynamic data collection from Amazon Ad server, processing and storing in S3 bucket. • Building and maintaining ML models and project pipelines such as time series modelling (e.g. Budget Shifting). • Work extensively with Python, Sklearn, TensorFlow, Plotly, Docker, Apache Airflow and Linux/ Windows os for prototyping and model building. • Quick prototyping of MVP and exploratory analysis. • Working knowledge with Amazon advertising API and postman

1. Configure NPX surveys for 7+ international clients 2. Create 5+ Dashboards on NPX and present analytics insights to relevant clients 3. Develop and present 3+ Dashboards on Power BI 4. Building machine learning-based decision-making system on the cloud platform that will be used by DN global leadership 5. Built python-based competitive intelligence tracking software 6. Provide technical consultation for a team of 6 people

• Built a feature-based neural recommender system • Worked with extensive 2800k transactions from the retail domain • Transferred the unstructured data in a structural knowledge format • Adapted knowledge graph embedding algorithms to display the structured data in n-dimensional vector space • Application of deep learning (LSTM) to rank the recommended items • Successful thesis defence in front of prominent (around 50) scholars and industry leaders from Europe, North America, and Asia

• Exploratory data analysis to identify the performance bottleneck of large (10 million lines of code) pos systems and optimize their performance (Best achievement: 300% processing time improvement) • Demonstrated firm capabilities in reporting results verbally and visually through the data visualization techniques (e.g. tables, charts, graphs, and other approaches) • Data pre-processing with GUI automation and log extraction

• I am an Appian certified Developer. • Done enhancement and development needed for the project. • Worked with process model, interface and done coding in appian. • Tested the application before handling it to the client. • Developed different poc’s to enhance the capability of our department

• Designed and developed the Application based on MVC architecture. • Involved in analysis, coding, development, implementation phase of the modules. • Developed presentation layer using HTML, JavaScript, and CSS. • Developed business layer, Service layer by implementing Collections, Exception Handling. • Prepared small POC's to explore new technologies as and when required for new enhancements in the project. • Versed in both agile and waterfall development techniques.

Data Science