Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Certification
Timeline
Hi, I’m

Shrivarshini Balaji

Calgary

Summary

  • Programming: Explored and learned languages such as Python and R for data analysis, data manipulation, and machine learning.
  • Data Cleaning and Preprocessing: Cleaned and prepared raw data for analysis, including handling missing values and outliers.
  • Exploratory Data Analysis (EDA): Using visualization and statistical techniques to gain insights from data.
  • Machine Learning: Studied various machine learning algorithms, including supervised and unsupervised methods, and understanding when and how to apply them.
  • Data Visualization: Created informative and visually appealing charts and graphs to communicate findings.
  • Statistical Analysis: Applied statistical tests and techniques to make data-driven decisions.
  • Big Data: Learned tools and technologies for handling large datasets, such as Hadoop and Spark.
  • Data Engineering: Understanding the data pipeline, including data extraction, transformation, and loading (ETL) processes.

Overview

1
year of professional experience
1
Certification

Work History

NEC Corporation Pvt. Ltd

Intern
12.2021 - 03.2022

Job overview

  • During my internship, I actively engaged in Python, using it as my primary programming language throughout the internship.
  • Gained familiarity with a wide range of Python modules and libraries commonly used in data science and machine learning, including NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
  • Utilized NumPy and Pandas for efficient data manipulation and preprocessing, ensuring data readiness for modeling.
  • Leveraged Matplotlib and Seaborn for data visualization, creating insightful plots and graphs to facilitate data interpretation.

Pantech Prolab Pvt.Ltd

Intern
01.2021 - 03.2021

Job overview

  • During my internship, I acquired introductory knowledge of Machine Learning Models.
  • Worked on fundamental machine learning models, including:
  • Linear Regression, Logistic Regression, k-Nearest Neighbors (k-NN).
  • Gained hands-on experience in data preprocessing and feature engineering for model input.
  • Conducted model training, evaluation, and fine-tuning to optimize predictive performance.
  • Implemented these models to address various data-driven tasks, laying the foundation for further exploration and expertise in machine learning.

Education

University of Calgary
Calgary, AB

Master's Degree from Data Science And Analytics
12.2023

University Overview

GPA: 3.67/4

  • Relevant Coursework: Working with Data at a Scale, Actionable Visualization and Analytics, Statistics and Machine Learning, Developing Big Data Applications.


Anna University
Tamilnadu, India

Bachelor's Degree from Electronics and communications Engineering
07.2022

University Overview

GPA: 8.57/10 (First Class)

  • Member of "AI Centre of Excellence" Community.
  • Attended symposium in other universities and presented paper on "Python programming Language".
  • Won Throw-ball tournament in Undergrad.
  • National Hockey player in high-school.

Skills

  • Proficiency in Python and R for data analysis and machine learning Strong background in statistical analysis and mathematics
  • Expertise in data manipulation, Cleaning and Preprocessing using libraries like Pandas, Numpy, seaborn and Matplotlib in Python and ggplot, tidyr and oslrr in R (EDA)
  • Skilled in data visualization with bar graphs, Charts, Violin Plots, Box plots, Scatter plots
  • Skilled in feature selection and reducing over-fitting of Model Querying SQL in MYSQL and RDBMS
  • Capable of model evaluation and selection and knowledgeable in Regrssion models, Natural Language Processing (NLP) techniques and Time Series Analysis
  • Worked on A/B testing methodologies

Websites

Accomplishments

  • National Hockey player in high-school
  • Attended symposium in other universities and presented paper on Python programming Language
  • Member of Artificial Intelligence COE community in Undergrad
  • Won Throwball tournament in Undergrad
  • Home cook
  • GITHUB LINK
  • Github : https://github.com/varshabalaji18?tab=repositories

Certification

1. The NPTEL (National Programme on Technology Enhanced Learning) on "Programming, Data Structures and Algorithms using Python".

2. The NPTEL (National Programme on Technology Enhanced Learning) on "Python for Data Science".

3. Cambridge English Level1 Certificate in ESOL International Business Vantage. (Grade A).


Timeline

Intern

NEC Corporation Pvt. Ltd
12.2021 - 03.2022

Intern

Pantech Prolab Pvt.Ltd
01.2021 - 03.2021

University of Calgary

Master's Degree from Data Science And Analytics

Anna University

Bachelor's Degree from Electronics and communications Engineering

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Shrivarshini Balaji