Sabari Rajan

As an accomplished software developer, I brought extensive expertise in Java, JSP, Python, Bash Script, automation, Git, MySQL, Confluence, LDAPS, Squirrel, Vertica, and Jira. With a strong track record in problem-solving, I have implemented usage tracking for a data warehouse management system and built an LDAPS server from scratch, integrating it with the system using Python. In addition, I streamlined the development process by utilizing automation and scripting, improved the user interface, and developed an application with identity and access management solutions using Java.

I automated deployments and integrated software systems, building a development environment from scratch for Windows Subsystem for Linux (WSL). I owned five features within the data warehouse management system and achieved all development goals. I leveraged best practices to ensure maximum efficiency and performance, demonstrating critical thinking and technical skills. This project showed that I am committed to continuous learning and improvement, maintaining high dedication and enthusiasm in all projects I undertake.

As a valuable member of the automation platform project team, I utilized my expertise in programming languages such as Java, JSP, Python, and Bash Script to create efficient and effective microbots that could perform various automated tasks. I also used MySQL and Git for database management and version control.

In addition to this, I utilized my experience in HTML, CSS, JavaScript, Bootstrap, and AngularJS to create an intuitive user interface for managing and monitoring microbots. My focus was on creating a user-friendly interface, making it easy for users to control and track the progress of their microbots.

Throughout the project, I collaborated closely with other team members, assisting them with testing and debugging to ensure the automation platform met client requirements and functioned properly. We utilized project management tools like ServiceNow and Jira to stay organized and focused. This project demonstrated my ability to work efficiently in a team and adapt quickly to new technologies and ideas, proactively identifying and resolving potential issues.

As part of a team of four professionals, I collaborated on developing a policy management system for my employer. The project required us to use several programming languages and technologies, including JSP, Java Servlet, HTML, CSS, JavaScript, and Bootstrap. I worked collaboratively, continuously learning and adapting to new technologies and ideas. I proactively identified potential roadblocks and found innovative solutions to overcome them.

My technical experience in Java, JSP, HTML, CSS, JavaScript, and Bootstrap was crucial in implementing JSP and Java Servlet to manage server-side processing and dynamic web page generation. I also used HTML, CSS, and JavaScript to design an intuitive and user-friendly interface for the system. Using Bootstrap, I ensured my design was responsive and compatible with various devices and screen sizes.

The policy management system I created enabled users to create, edit, and view policies while tracking approvals and rejections. Additionally, I implemented robust security measures to safeguard sensitive policy information, showcasing my expertise in data protection.

The project's main goal was to provide students and other stakeholders with information about the institute and its programs. The website included detailed information about the institute's programs, admission procedures, faculty, and facilities, along with a contact form to facilitate communication between the students and the institute.

I used JSP and Java Servlet to create dynamic web pages. I also utilized HTML, CSS, and JavaScript to design an intuitive and visually appealing user interface that was easy to navigate. With the help of Bootstrap, I ensured that the website was responsive and compatible with various devices and screen sizes. As a responsible developer, I also incorporated robust security measures to protect sensitive user data.

My quick-learning abilities, problem-solving skills, and critical thinking came in handy while overcoming challenges during the project. I worked efficiently and effectively to deliver the final product, which helped the education institute improve its online presence and attract more students.

I utilized my technical skills in Python, Selenium, and Beautiful Soup to perform web scraping of StubHub, a popular ticketing platform. Also, I implemented Selenium for UI-related functions, seamlessly navigating pages and clicking buttons. I parsed HTML elements using Beautiful Soup to extract event and ticket details. To optimize efficiency, I employed Python multithreading for concurrent requests.

My soft skills, including quick learning, problem-solving, and adaptability, enabled me to overcome challenges and adapt to changes in website structure. Overall, my expertise in Python, Selenium, and Beautiful Soup and strong soft skills contributed to a successful web scraping project for StubHub.

With my Python, Selenium, and PostgreSQL technical expertise, I successfully executed a web scraping project on Shein.com, a popular eCommerce platform. Leveraging the power of these tools, I gathered valuable data from the website and seamlessly loaded it into a PostgreSQL database.

Using Python and Selenium, I automated the web scraping process, enabling me to navigate Shein.com, interact with different pages, and extract relevant information such as product details, prices, and customer reviews. Additionally, I utilized free proxies to ensure anonymity and prevent IP blocking during the scraping process.

I designed an appropriate schema to store the scraped data and developed Python scripts to establish a connection, insert the data, and handle any necessary transformations.

I ensured a consistent and reliable data extraction process by adapting my scraping strategies and implementing appropriate error-handling mechanisms.

In summary, my proficiency in Python, Selenium, and PostgreSQL, coupled with my ability to overcome obstacles and optimize the scraping process, allowed me to scrape Shein.com successfully, gather valuable data, and load it into a PostgreSQL database for further analysis and utilization.

I spearheaded the development of a financial data analysis dashboard catering to investment banking clients, leveraging Python, Pandas, NumPy, and Matplotlib to process and visualize financial data effectively.

My work also included hosting the dashboard on Azure to ensure scalability and reliability and applying expertise in financial modeling and analytics to derive actionable insights. I also managed data ingestion pipelines, implemented data processing algorithms, orchestrated deployment on Azure, and collaborated closely with stakeholders to gather requirements and enhance features iteratively.

I led the development of a deep learning model for medical image analysis in healthcare and optimized model performance using Python, TensorFlow, and Azure Machine Learning services.

My work involved applying domain expertise in medical imaging to enhance diagnosis accuracy and deploying the model on Azure for seamless integration with healthcare systems. I also directed the preprocessing of image data, designed and trained convolutional neural networks, and managed deployment on Azure. Finally, I collaborated with healthcare professionals to refine model requirements and ensure clinical efficacy.

I spearheaded the development of a real-time sentiment analysis dashboard for social media monitoring, leveraging Python, NLP libraries, and Azure services to analyze sentiment trends.

My contributions include applying domain knowledge in social media analytics to drive actionable insights and hosting the dashboard on Azure for scalability and reliability. I directed data ingestion pipelines, implemented sentiment analysis algorithms, and managed deployment on Azure while collaborating closely with marketing teams to define requirements and iterate on dashboard features.

Leveraging Python, Pandas, and Azure IoT services to process sensor data, I spearheaded the development of an IoT data analytics platform tailored for smart manufacturing. I applied expertise in data engineering to optimize manufacturing processes and hosted the platform on Azure, ensuring compliance with industry 4.0 standards.

My work also included managing data ingestion pipelines, implementing data processing algorithms, and orchestrating deployment on Azure. Additionally, I collaborated closely with manufacturing engineers to gather requirements and enhance platform capabilities iteratively.

I directed the development of an eCommerce recommendation engine for fashion retail and utilized Python, collaborative filtering techniques, and Azure services to personalize shopping experiences. Applying my expertise in machine learning, I optimized product recommendations.

My contributions included hosting the engine on Azure to ensure compliance with retail standards, managing recommendation algorithms, integrating with Azure services, and leading the deployment on Azure. I also collaborated with retail teams to define recommendation strategies and enhance customer engagement.