Amrutha Paalathara

Data Practitioner

About Me

Allow me to introduce myself as an enthusiastic data scientist with a profound passion for working with data. My journey began at the beginner level, where I established a strong foundation in programming by working extensively with Excel and Python. Over time, I expanded my skill set to include Java, further enhancing my capabilities.

I am driven by a relentless desire to deepen my knowledge in the field of data science and continuously seek out new learning opportunities. Despite not having a background in programming or computer science, I chose to pursue data science for my postgraduate studies, reflecting my willingness to take risks and my commitment to personal and professional growth.

In my leisure time, I enjoy listening to motivational songs that inspire me to stay focused and dedicated to my work. My diverse interests and unwavering determination define my approach to both life and my career in data analysis.

Education

Master's Degree

School/College : CHRIST (Deemed to be) University
Year : 2023 - Present
Course : Msc Data Science

Bachelor's Degree

School/College : Assumption (Autonomous) College, Changanassery
Year : 2020 - 2023
Course : Bsc Mathematics

Higher Secondary

School/College : PPMHSS KOTTUKKARA SCHOOL
Year : 2018 - 2020

High School

School/College : PPTMYHSS SCHOOL
Year : 2017 - 2018

Projects

Healthcare Facility in Lavasa

The first project focused on the healthcare facility in Lavasa, a hilly region. We conducted an exploratory data analysis (EDA) and visualization using libraries such as NumPy, Pandas, Seaborn, and Matplotlib. Our findings revealed that the primary cause of poor medical facilities in Lavasa was the lack of medicines.

Lost and Found

Developed a Lost and Found department website for a university. Students could register lost and found items, with details stored on a dashboard accessible to the admin. We used Django for the back-end framework and HTML, CSS, and JavaScript for the front-end.

Data Visualization using Java

visualized data to interpret how individual incomes contribute to national development. Utilizing Maven, I discovered a direct correlation between the number of employed individuals and economic growth, with an average household income of $80,000 per year.

BuildR Project

In the project, we developed a project management web application that allows users to create projects, manage issues,and analyze progress within a workspace. The platform supports role-based access control. The app also features priority settings for projects and issues, issue tracking with sub-issues, a commenting and reply system, and a visually represented dashboard.

Skinalyze

TA Hackathon winning project that was a one stop solution for Indian skin. Used deep learning to identify skin undertones to recommend fashion choices and also detect skin diseases with suggested actions. Interfaced with a Django web app.