![arshia_pic.jpg](https://static.wixstatic.com/media/4cd14a_9eb16c23c4934f828b49b6911a356d07~mv2.jpg/v1/crop/x_0,y_106,w_449,h_449/fill/w_508,h_508,al_c,lg_1,q_80,enc_auto/arshia_pic.jpg)
Arshia Mathur
Data Science Engineering Student
I love diving into data science; it's my jam! Always curious and hungry to learn more, I'm on a never-ending quest for knowledge in this field. I'm all about finding cool insights, solving problems, and using data to create awesome innovations.
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ABOUT
Hello! I'm Arshia Mathur
I've always had a keen interest in leveraging data for making informed decisions. I've developed strong analytical abilities to tackle complex problems through data analysis.
During my free time, I like to work on my own projects to improve my skills. Looking ahead, I'm enthusiastic about pursuing a career in data science. I look forward to applying my skills to extract valuable insights from data and contribute to data-informed solutions across a variety of domains. It's been a great journey so far.
My goal is to provide value to society.
Data is my pathway towards that goal.
EXPERIENCE
November 2023 - Present
Data Analyst Intern
SKILL INTERN INDIA
As an intern at this company, I worked on two exciting projects: retail data analysis and terrorism data analysis. For the retail data analysis project, I analysed sales data for a major retailer to identify sales trends, customer behaviour patterns, and areas for improvement. For the terrorism data analysis project, I collected and analysed data on terrorist attacks to identify trends and patterns that would be useful for policy makers and law enforcement. I enjoyed working on both projects and learning new skills along the way.
October 2023 - November 2023
BHARAT INTERN
Data Science Intern
I had the opportunity to delve into two fascinating projects: the Titanic classification and SMS spam classification. In the Titanic classification project, I applied machine learning algorithms to predict survival probabilities based on passenger data, gaining insights into factors influencing survival rates. Similarly, in the SMS spam classification project, I developed models to discern between spam and legitimate messages, contributing to enhanced communication security measures. These experiences provided valuable insights into real-world applications of machine learning techniques.
October 2022 - Present
Core Team Member
PARAM Technical Society, MGMCOET
For the past two years, I've been an integral core member of the Param Technical Society, actively contributing to its growth and initiatives. Presently, I continue to serve as a dedicated member, bringing forth my expertise and enthusiasm to drive the society's objectives further. My sustained involvement has allowed me to witness and participate in the society's evolution while nurturing my skills and leadership within the technical domain.
EDUCATION
2021-2025
Bachelor's Degree
Computer Science And Engineering
MAHATMA GANDHI MISSION'S COLLEGE OF ENGINEERING AND TECHNOLOGY, NOIDA
I am currently enrolled in college with a focus on data science. I take pride in participating in both academic and extracurricular activities, including cultural and sports events. My dedication and hard work reflect in my SGPA and in my projects.
SGPA(last 4 semesters) - 8.3+
2007-2021
VISHWA BHARTI PUBLIC SCHOOL, GREATER NOIDA
HIGH SCHOOL + INTERMEDIATE
During my time at school, I had the opportunity to develop and hone important skills that have helped me succeed in my career. These skills include presentation skills, leadership qualities, and teamwork.
10th - 93%
12th - 90%
SKILLS
![](https://static.wixstatic.com/media/baac51_5f3719a2964e482ebdf6c889115744c0~mv2_d_4896_3264_s_4_2.jpg/v1/fill/w_570,h_380,al_c,q_80,usm_0.66_1.00_0.01,enc_auto/baac51_5f3719a2964e482ebdf6c889115744c0~mv2_d_4896_3264_s_4_2.jpg)
Statistics
Structured Query Language(SQL)
Power BI
Python
Data Analysis
Data Mining And Visualization
PROJECTS
See my some projects and let me know what do you think about these projects
Email Spam Classifier
Email spam classifier using machine learning to distinguish spam from legitimate messages, improving inbox efficiency for users.
Cars Analysis
Conducted comprehensive data analysis to explore trends in vehicle performance and market preferences. Aimed to uncover insights for better understanding consumer behavior in the automotive industry.
Weather Analysis
Identified patterns and correlations aiding in predictive weather modelling. The project sought to enhance forecasting accuracy and understand climate trends for various applications.
Diwali Analysis
Examined cultural and economic trends during the festival, exploring consumer spending patterns and societal impacts. Aimed to decipher the festival's significance in shaping market behaviours and traditions.