Health Care: 1. Developed optimization models (Mixed Integer linear program, Two-stage stochastic optimization model) using Python libraries (pandas, numpy, gurobipy, openpyxl) to streamline Mayo Clinic’s patient appointment scheduling processes.2. Conducted QA and sensitivity analysis so that the models could be compared against different parameters to assess their applications and limitations.3. Used modern reporting and analytic tools (LaTex, MS Excel) to publish a journal paper under Springer based on the above research and analysis.Link : https://doi.org/10.1007/s11590-021-01796-zTransportation and Logistics: 1.Used Python libraries (pandas, numpy, gurobipy, openpyxl) to run and customize a quantitative analytical model (Mixed Integer program, or MIP) formulated theoretically by the Cargill R&D department to generate an optimal route scheduling for their truck drivers so that they can pick-up and deliver logistics at minimal wait time and delivery time. 2. Used Python libraries (os, openpyxl) to prepare and analyze relevant datasets consisting of Cargill’s customer data, driver scheduling data, and transportation costs to implement, monitor and improve said model.3. Reviewed and improved the mathematical modelling of the Mixed Integer Program by referencing relevant optimization theory and literature.

1. Prepared and analyzed datasets using Python, R, and Excel.2. Conducted hypothesis testing using Python, SAS and MINITAB.3. Developed machine learning models using Python libraries (TensorFlow, Keras, PyTorch) and simulation models using ARENA.

1. Conducted data mining using Python libraries (urllib, BeautifulSoup, Selenium) to build a big data application containing information regarding potential investors and sellers.2. Used modern reporting and analytics tools (Tableau, MS Excel) to summarize and visualize data for easy use of clients.3. Researched on latest financial products and services to write blog posts for subscribed investors.

1. Helped to develop new features for the business app of a Gradsoc client as a trainee. 2. Built and improved a bot to help with said client's organic marketing.3. Received training in full-stack analytics for starting a business.

• Led a team of 5 operations assistants to control and integrate daily operations using SAP• Conducted face to face meetings with customers to build and maintain customer relationships • Prepared monthly planning and periodic standard reports under the guidance of Line Manager • Evaluated service quality and team performance

• Conducted follow-up on daily production volume and productivity report • Conducted follow-up on plant maintenance, specific power and material consumptions• Optimized the delivery schedule as per production capacity • Prepared monthly plant efficiency, capacity utilization and productivity analysis Report