About
Hi! I'm Hrutika, a Big Data Engineer in the AdTech space for JioAds.
Currently, I work in data engineering, where I design, build, and optimize end-to-end data pipelines, ensuring seamless data flow and robust performance. My role in AdTech allows me to see firsthand how data-driven strategies can significantly impact advertising and user engagement.
I've always been fascinated by how data can make a difference, unraveling patterns that lead to innovations :)
When I'm not coding, you can find me diving deep into the realms of science, and philosophy. I find it captivating to uncover the mysteries of the universe and ponder the big questions that shape our existence.
Projects
• This backend server, developed using Node.js, Express.js, and MongoDB, aims to optimize the placement process within a college.
• Through its RESTful API, it allows students to submit job applications directly via the portal. Moreover, the placement officer can review the applications and select the most suitable candidates to forward to the HR department of the company.
• This seamless process enhances the efficiency of the placement procedure, promoting transparency, and ensuring timely communication between all parties involved.
• In natural language processing, language detection determines which natural language the given content is in. Computational approaches to this problem view it as a special case of text categorization, solved with various statistical methods.
• This project implements a language detection software/tool using Python and machine learning. This model is being used to detect the language of the given input text, the predicted output is categorical in nature and holds 17 different values i.e. it can classify 17 different languages accurately.
Side Projects
Developed machine learning models on various datasets and problem statements using Python, sci-kit-learn, and Pandas. Fine-tuned the model using various algorithms such as linear regression, decision trees, and random forests, and selected the best-performing model.
Created an engaging and fully operational Discord Music Bot utilizing the YoutubeDL Package, boasting a comprehensive array of music-related functionalities to enhance user interaction.
Speaking
Work Experience
• Initiated and led the development of a full-stack app for an in-house management project, taking sole ownership of all aspects,
including data management, workflow design, and implementation.
• Developed a robust backend server using Node.js and Express, ensuring efficient data handling and seamless integration with the frontend using React and TypeScript, resulting in a user-friendly interface.
• Collaborated with cross-functional teams to identify and troubleshoot system issues and to ensure seamless integration between the backend and frontend systems.
• Attained extensive practical expertise in constructing and deploying machine learning models, including the development of logistic and linear regression algorithms from the ground up.
• Successfully executed predictive analysis projects, utilizing advanced machine learning techniques and classification algorithms, to predict Heart Disease. Additionally, implemented a Cluster-based modeling approach to classify Universities as Public or Private.
Volunteering
• Directed a team of 10 members in the coordination and implementation of technical workshops, webinars, and competitions.
• Successfully engaged with and invited a diverse range of speakers and mentors to participate in the events.
• Communicated effectively with a broad audience of students to ensure their participation and engagement in the programs.
Education
Average CGPA: 9.52/10