Shree Varshini Email & Phone Number

Chennai, Tamil Nadu, India

Chennai, Tamil Nadu, India

Coimbatore, Tamil Nadu, India

As the Treasurer of Melinia'23, a prestigious national-level technical symposium organized by the Department of Computing, I played a crucial role in the smooth financial management and overall coordination of the event.Key responsibilities:- Oversaw financial management and coordination for Melinia'23, national-level technical symposium.- Managed budgets, financial records, and expense tracking, ensuring responsible and transparent fund management.- Successfully secured sponsorships and developed strategic partnerships to maximize funding opportunities.- Coordinated with organizing committee members to plan and execute technical events, ensuring their successful implementation.- Collaborated with external speakers and participants, ensuring their seamless involvement in the symposium.- Led a team of volunteers and committee members, providing guidance, conducting regular meetings, and fostering a collaborative environment.

Chennai, Tamil Nadu, India

During my time at Rootquotient Technologies, I contributed significantly to a notable project focused on developing a user-friendly platform that fostered interaction and mutual benefits between business owners and freelancers. As a key team member, my primary role revolved around the development and enhancement of API endpoints. Additionally, I took on the responsibility of creating and launching COMMUNIFY, a communication gem that simplified the process of sending text messages, emails, and push notifications with just a single line of code.Key Accomplishments:- Successfully implemented and optimized API endpoints to ensure seamless data retrieval and manipulation.- Conducted thorough testing and debugging of API endpoints, guaranteeing reliable functionality and error handling.- Streamlined API performance by refining SQL queries, resulting in enhanced response times and overall efficiency.- Developed and released the COMMUNIFY communication gem on RubyGems, empowering developers to integrate messaging capabilities effortlessly.- By eliminating the need for complex code and multiple API integrations, COMMUNIFY saved valuable time and allowed developers to focus on other critical project aspects.- Created comprehensive technical documentation for the COMMUNIFY gem, facilitating seamless integration and adoption by fellow developers.Tools Utilized: Ruby on Rails, Postman, Twilio, Sendgrid, Firebase Cloud Messaging

As the Head of Technology at Datalytics, I lead a dedicated team in creating collaborative opportunities for students to enhance their knowledge and proficiency in cutting-edge skills. Our collective efforts aim to foster an environment where students can work together, leveraging modern technologies to advance their understanding.During my tenure, I had the privilege of taking an active role as a speaker in two prominent technical events. These events focused on Excel and machine learning, where I shared my expertise and insights, engaging participants and promoting knowledge exchange. In addition to this, I also organized a highly successful Python-based problem-solving event. This event provided a platform for students to tackle real-world challenges, enhancing their problem-solving abilities and honing their Python programming skills.In addition to these notable accomplishments, I have made significant contributions to numerous other events within the club. Through my technical expertise and effective collaboration, I have consistently supported the success of various initiatives and helped create valuable learning experiences for our members.

Tamil Nadu, India

Designed and implemented a sophisticated job recommendation system that provides personalized suggestions based on the user's resume and presents them with relevant job opportunities.Throughout the development process, we as a team conducted data collection, data cleaning, and data preprocessing tasks to ensure high-quality input for the system. Additionally, natural language processing (NLP) techniques were leveraged to predict the ideal job positions that align with the user's profile. Also, web scraping was employed to gather suitable job openings, which were then presented to the user.Language Used: Python

Various machine learning tasks has been solved, which helped in better understanding of machine learning algorithms.

Master'S Degree, Data Science

Education record

Education record