The client shared difficulties reviewing English exams performed by its students and requested a web application that could automate this time-consuming process. I fully develop a user-friendly web application for generating auto-corrected English exams. It allowed the English teachers to not spend tons of hours reviewing each student's exam.- Led the development of a web application aimed at automating English exam corrections, transforming the grading process for educators, and improving exam creation and correction productivity by an impressive 300%.- Developed an intuitive user interface that empowered teachers to upload student exams, receive automated corrections, and provide feedback seamlessly. This initiative improved the feedback process for students by 200% and significantly enhanced overall customer satisfaction.- Collaborated closely with stakeholders to understand their requirements and deliver a solution that exceeded expectations, resulting in positive feedback and increased client satisfaction.- Tools: HTML, CSS, JavaScript, Python, Django, Heroku, PostgreSQL, AWS S3, Git.- Deliverables: Web application deployed in Heroku SaaS platform.

Managing sales across multiple e-commerce platforms and sellers on an English course platform was challenging. To tackle this, I collected and sanitized data from Samcart, Stripe, and Eduzz, merging it into a centralized database. Through automated hourly updates, I provided data to build spreadsheets for sales tracking and a Power BI dashboard for key performance indicators (KPIs), which has delivered the client valuable insights for campaign validation and future sales strategies.- Conducted E-Commerce data extraction from diverse platforms including Samcart, Stripe, and Eduzz, and employed advanced techniques to collect and sanitize data from these sources, ensuring accuracy and reliability in all data sets.- Led the optimization of employee management and sales by automating data wrangling analysis processes, resulting in a significant 70% improvement in efficiency and time savings for managers.- Transformed raw data into sales tracking spreadsheets and a Power BI dashboard for key performance indicators (KPIs), which has delivered the client valuable insights for campaign validation and future sales strategies, which led to a 15% enhancement in sales performance.- Tools: Python, Pandas, NumPy, Stripe API, Google API, Excel, Microsoft Azure, SQL Server, PowerBi.- Deliverables: Microsoft Azure Server tasks for efficient data collection, exporting insights to Excel files via Google API; PowerBi Dashboard with sales KPIs.

There was a control issue on stock replenishment due to unstructured data with no link between stock and sales. I was challenged to understand the data and deliver an algorithm to sanitize the data and synthesize the findings into executive summaries. - Lead critical initiatives aimed at enhancing stock replenishment controls through innovative approaches and data analysis.- Implemented algorithms to analyze unstructured data using Python, Pandas, and NumPy, and derived actionable insights to optimize stock management processes ensuring data quality and reliability meet high standards.- Spearheaded the development of a robust algorithm data cleansing to analyze unstructured data, resulting in an impressive 85% improvement in data quality and reliability, reducing stock shortage by 1.61% and excess stock by 30.81%, improving inventory management and saving costs.- Transformed raw data into actionable insights collaborating with cross-functional teams to identify opportunities for improvement, enabling clients and senior leadership to make informed decisions and drive profitability.Core responsibilities:- Data manipulation and analysis, including cleansing, wrangling, visualization, modeling, and interpretation- Enhancing the data collection process- Setting up data infrastructure- Develop, implement, and maintain databases- Generating information and insights from data sets and identifying trends and patterns- Preparing reports for executive and project teams

As a researcher on Test Case Validation and Prediction in an agile test environment where the most experienced testers spent 4 hours daily analyzing release notes and selecting test cases that cover the changes in the new software release, my contributions were based on data mining and natural language processing techniques.- Developed a web scraping rest API to get release notes HTML files from multiple software version sources to be tested making it possible to select test cases in 1 hour, reducing the daily time spent by 75% per experienced tester.- Implemented an Android app to allow testers to start/stop log capture during execution making it possible to collect raw execution data from mobile devices to calculate code coverage and compare with scripted test cases steps.- Built API to evaluate code coverage, using raw data collected from profiling app, comparing with scripted test cases steps and release notes information, evaluating test cases based on the code triggered during the test case execution, making it possible to select more accurate test - Created a prediction mechanism to select the most effective test cases based on release note text improving code coverage by 70%, and increasing bug detection by 350%, enhancing overall software quality.- Authored executive summaries outlining our results' value propositions and strategies for presentation to senior managers across multiple countries.Core responsibilities:- Apply Software Engineering techniques and concepts- Identify opportunities for improvement for the software under development- Code review- White box software testing- Investigate and report the defects found- Participation in the Agile software development model- Support for users of software under development- Execution of experiments in academic research