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Kuala Lumpur
vaashini palaniapppan

vaashini palaniapppan

Data Analyst/Data Scientist intern

Accounting / Finance

Kuala Lumpur, Kuala Lumpur

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About vaashini palaniapppan:

A 22-year-old currently a fourth-year student of Bachelor Degree of Industrial Statistics, keen to pursue a career in Data Mining or Data Analytical field and a determined professional with strong analytical, problem-solving, and communication skills, I hope to be a huge part of the organization in an effort to grow my leadership skills and help the company achieve its goals. Currently, I am looking for a role as Data Analyst/Data Scientist intern. My internship period starts on 5th March 2023 to 23rd June 2023 (16 weeks).

Experience

Gummi Metall Technik (M) SDN.BHD Kuala Kangsar Audit Assistant and Data Manager June 2021-Oct 2021 • Audited the company profit and loss • Monitor and analyze the financial report • Managed the SQL database of the company Tutor Kami Kuala Kangsar Private Tutor May 2019 – July 2019 • Taughtstudents Mathematics and Statisticsfrom the age 13-17 • Frequently organize learning material to ensure the flow of teaching is smooth. • Worked under pressure when students didn’t cooperate and calmy dealt with them with patience. • Calmly dealt with unhappy students, practiced active listening and took responsibility to deal with the students.

Education

Universiti Tun Hussein Onn Malaysia Pagoh, Johor Bachelor of Science (Industrial Statistics) with Hons. September 2019 – July 2023 • Related coursework: Data Mining, Data Science, Optimization, Operational Research, Statistical Consultation, Applied Regression, Medical Statistics, Data Visualization, Logistic Management, Marketing Management, Survey and Sampling, Quality Control. • My Final Year Project (FYP) was under Data Mining where the title of my project was Twitter Sentiment Based Topic Classification using Machine Learning Algorithms. • Used techniques such as embedding sentiments (Sentiment Analysis) into topic classification using Support Vector Machine, Random Forest Classifier, K-Nearest Neighbors, Naïve Bayes Classifier, Logistic Regression Classifier, Decision Tree Classifier • Obtain Dean’s List (GPA 3.5 >) for 5 non-consecutive semesters. • Currently holding a CGPA of 3.58

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