DigiTec Innovation accelerates software development and boosts your online business presence. Our solutions include website development, cloud integration, cybersecurity, IT services, SEO, and data-driven insights.

As a Web Application Developer at the Human Early Learning Partnership, I contribute to the advancement of child development research by designing and maintaining e-systems and dashboards that empower researchers with insightful data and reports. Here's how I make an impact: Key Responsibilities:- Develop and update methods for e-systems using Django framework - Debug and resolve bugs, ensuring smooth system functionality- Utilize Pytest to design and execute tests for newly implemented methods- Create interactive graphical dashboards using R, enhancing data visualization- Maintain Linux servers and libraries for seamless performance- Perform SQL queries to extract data Impact:- Consistently met weekly deadlines, ensuring timely project delivery- Maintained robust and secure servers, mitigating potential security risks- Optimized Linux servers and proactively addressed Celery and Redis issues, guaranteeing seamless system performanceMy role as a Web Application Developer has enabled me to contribute significantly to the research community's ability to access and analyze child development data effectively.

Develop a dynamic web application from scratch to collect users’ perceptions of neighbourhoods in Canada for children’s playability. Supervisor: Emily Gemmell (Ph.D.), UBC.• Designed a web application using HTML5, CSS3 and UI libraries like Bootstrap• Used React Hooks and React-Router to decrease complexity and improve maintainability between components• Performed CURD operations and maintained client-server connectivity with RESTful API• Implemented the database using PostgreSQL and performed SQL query operations to store and aggregate JSON image data• Maintained Docker images to incorporate any changes for client or server edits• Implemented YML/YAML files to configure the load balancers through Kubernetes• Utilized Git for source control and DigitalOcean to deploy/host the app• Currently using QGIS to sample city shapefiles (latitude, longitude) pairs at 20m intervals to obtain valid Google Street Images

Project: Analyze the viability of various Wearable Gadgets for Chronic Pain Patients and assist health practitioners in better understanding their patients. Supervisor: Dr. Oswald Barral (Lead Data Scientist).Responsibilities:• Performed literature review on multiple scholarly journals to collect sampling parameters and sensor configurations of multiple wearable gadgets. The best fits with HRV accuracy and Infrared sensors were chosen for further analysis• Cumulated 3 years of HRV & HR data through API calls from Apple watch, Oura, and Biostrap• Subsequently, EDA and statistical analysis (correlation and covariance) were performed to compare the datapoint accuracy of sleep intervals, recording durations, and the abnormality of each device’s sensor parameters

Summer Bootcamp to teach the youths about 21st-century skills across Bangladesh.• Won seed funding of $1000 from Youth Impact Challenge, a BC-based non-profit organization• Hosted the first virtual summer camp with 62 participants from Bangladesh• Designed curriculum with a team of 8 volunteers to provide collaborative learning of Python• Engaged participants to connect on Discord, conducted live sessions Zoom with activities for interactive level.

Project: To prevent in-person discomfort for university students suffering from mental health issues, we built and designed a peer-to-peer consultancy platform to connect students and mentors virtually. Manager: Andy Tai (Ph.D.), UBC.Responsibilities:• Designed and optimized a stable-matching algorithm using JavaScript from scratch to match mentor-mentees based on individual preferences• Worked on HTML and CSS to re-design user-centric dashboards, and structured layouts using Flexbox• Maintained CURD operations through axios requests and implemented Redux to persist state variables• Hands-on experience using Node.js and JWT tokens for user authentication and session storage

Project: Prepare and compile Data Science Competition starter codes.Responsibilities:• Translated and compiled Python starter codes to R to enhance user adaptability• Required thorough understanding of Python Scripts to replicate EDA on R. Exposed to Linear Regression, RandomForestClassifier and utilized CatBoost to predict results with high accuracy• Designed a pipeline to catch suspicious participants in the competition: a probabilistic model to identify the abnormalities in participants’ submissions within a given timeframe