Personal Insight

About Me

Hello, I'm Angeline A, , a mathematics graduate with a deep-rooted passion for data. My fascination with the intricate patterns and insights that data can unveil led me to pursue a Master's in Data Science at Christ [Deemed to be University]. Through this program, I have honed my skills in data analysis, machine learning, and artificial intelligence, preparing me to tackle complex challenges in the field. As a data science enthusiast, I am eager to leverage my analytical abilities and technical expertise to contribute to innovative solutions and drive impactful data-driven decisions.

"Data is the new oil, and I'm here to refine it !"

 
 

Specializations

Here are some of my specializations

Data Science

Machine Learning | NLP | Deep Learning | LLMs

Data Analytics

Tableau | Power BI | Advance Excel | Python

Domain Expertise

Healthcare | Finance and Marketing

Skills

Proficiencies shaped by curiosity and commitment

C

90%

C++

82%

Microsoft SQL

89%

Python

83%

Java

80%

R Programming

87%

Tableau

89%

Power BI

90%

HTML

75%

Javascript

70%

CSS

80%
Education

My Learning Path

Currently pursuing my IV TRIMESTER MSC Data Science at Christ [Deemed to be University] , Bangalore

  • TRIMESTER I 3.78 SGPA
  • TRIMESTER II 3.67 SGPA
  • TRIMESTER III 3.71 SGPA

I have done my bachelors in mathematics allied with statistics and physics in Stella Maris College , Chennai

Scored 90% in my academics and has cgpa of 9.01 out of 10

Completed my 12th grade from Bharani Park Matric Hr Sec School, with Physics, Chemisty, Mathematics and Biology as majors and graduated in 2020 with 86.2%!.

Passed out from Bharani Park Matric Hr Sec School, in 2018 with 96.8%!.

Projects

Portfolio of My Proven Expertise

Intel Product Sentiment Analysis

It's a group project. The problem statement "Intel product Sentiment Analysis from Online reviews" was assigned by Intel under their Intel Unnati training program 2024. The work mainly concentrated on analyzing the reviews of four generations processors (11th, 12th, 13th, 14th). Identified the causes of negative feedback using NLP models - BERT and RoBERTa and provided Intel with Solutions.

Data Cleaning | Sentiment Analysis | Python

TRUCON : An Integrated Video Conferencing Tool with Real-time Deep Fake Detection and Comprehensive Interview Analysis

It's a group work of 5 people. It's a web-based data science project. It mainly focused on detecting deepfake in video conferencing platforms. We developed our own video conferencing tool in which we integrated the video - CNN and audio - LSTM deepfake detection models. We achieved 90.63% and 95.95% accuracies for the video and audio models. We have also added the database feature to store the information of the users.

HTML | Javascript | CSS | Flask | Python | CNN | LSTM | MFCC

Next-Gen Video Analysis: Keyword Citation, Summarization, and Sentiment Visualization

It is a group project. In this project, we did keyword Citation, Summarization, and Sentiment Visualization for YouTube videos, using pretrained models for cleaning and punctuating the transcripts. Then we implemented the necessary NLP techniques for the Transcripts.

Natural Language Processing (NLP) | Transformers

Prediction Model for Diabetes - Integration in Website

I created a prediction model using KNN classification to predict diabetes. The model is then integrated into the website using the streamlit package. It involves predicting diabetes based on the features added into the model. Based on the features, the accuracy rate varies.

Python | Machine Learning | HTML | CSS

Online Wardrobe App - Java Project

Implemented all the concepts of Java and built an application for online purchasing, featuring adding to cart, purchasing, payment processes, and premium membership subscriptions. Further enhancements would be integrating into a website.

Java

Wine Quality Dataset - Regression Model

In this project, I developed a regression model for the Wine Quality Dataset (Kaggle).

Python | Mathematics | Statistical Concepts

Internships

Areas I have earned experience in

Data Science Research Intern under ORACLE mentors

[Sep, 2024 - Present]

In this internship, we are mainly focusing on developing a adversarial bechmark for video LMMs which mainly focuses on identifying the different sorts of tamperings in the video. We are developing our own dataset. The ultimate aim of this internship is to publich a research paper which focuses on developing a comprehensive adeversarial bechamrk

LLM | Python | NLP

Data Science Intern, Codsoft

[Oct, 2023 - Jan, 2024]

It's a virtual internship where I developed machine learning models for the Titanic Survival Prediction, Iris Classification and Customer churn Segmentation with 95% to 98% accuracies.

Python | Machine Learning

Data Analyst Intern, Psyliq

[Oct, 2023 - Jan, 2024]

It's a virtual internship where I have Analyzed the Diabetes Risk Prediction dataset using SQL and Imported the SQL into PowerBI and created meaningful dashboards which gave great insights about the risk prediction. I have also analyzed Sales data and created Interactive dashboards in Excel.

Excel | SQL | PowerBI

Certifications

Skills I am certified for

Google Data Analytics

~ from Google

This is one of the professional courses available for Data Analytics in Coursera which is offered by google

IBM Data Science

~ from IBM

This is one of the professional courses available for Data Science in Coursera which is offered by IBM

Programming in C

~ from Stella Maris College and Qenz

Have been certifed for c++ language at intermediate level

Programming in C++

~ from Stella Maris College and Qenz

Have been certifed for c++ language at intermediate level

Data structures in c++

~ from Infosys Springboard

Learn data structures present in c++ through infosys Springboard

Get in Touch

Contact

Christ [Deemed to be University], HMT Layout, Nagasandara Post Bangalore - 560073

3-E/1, K K Nagar 1st Cross, Indira Nagar, Gandhigramamn South, Karur - 639004