Summary
Overview
Work History
Education
Skills
Projects
Timeline
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Nishwinder Virk

AI And Data Science Intern
Toronto,ON

Summary

Aspiring Data Analyst and Data Engineer with profound expertise in data analysis, statistical modeling, and automation. Proficient in Python, R, Pandas, SQL, Tableau, and Power BI. Experienced in transforming complex data into actionable insights through thorough analysis, data manipulation, and clear communication. Seeking an internship to leverage academic background and analytical skills in contributing to data-driven decision-making, cost modeling, forecasting automation, and data governance initiatives.

Overview

6
6
years of post-secondary education

Work History

AI Mathematics Training Specialist

Outlier
04.2024 - Current
  • Achieved enhanced accuracy, relevance, and safety in Mathematics through AI model training, resulting in a 15% increase in model accuracy.
  • Participated in cutting-edge projects that pushed boundaries in AI technology.
  • Collaborated with professionals to drive innovation and achieve project goals.

Education

Certificate diploma - Artificial Intelligence & Machine Learning

Loyalist College
Toronto, Ontario
04.2023 - Current

Degree (M.Sc.) - Mathematics and computing

Punjabi University
Patiala, PB
06.2020 - 05.2022

Degree (B.Sc.) - Mathematics and Statistics

Punjabi University
Patiala, PB
06.2016 - 05.2019

Skills

  • Programming Languages: Python, SQL

  • Data Analysis: Advanced Excel, Tableau (Dashboarding and Visualization)

  • Statistical Concepts: Strong grasp of statistical principles

  • Microsoft Office Suite: Proficient in Word, Excel, PowerPoint, and Outlook

Projects

World Life Expectancy Data Cleaning & Exploration Analysis

  • Conducted data profiling to identify and address missing values, duplicates, and inconsistencies.
  • Performed univariate analysis to examine distributions and central tendencies of key variables such as life expectancy, income, and population.
  • Applied advanced SQL techniques, including window functions and subqueries, to compute rolling averages, rank countries, and detect outliers.


US Household Income Dataset: Data Cleaning & Exploratory analysis

  • Executed comprehensive data cleaning on a large dataset of US household income information.
  • Utilized SQL to manage missing values, eliminate duplicates, standardize data formats, and ensure overall data integrity.
  • Implemented data visualization techniques to effectively convey key findings and insights.

Timeline

AI Mathematics Training Specialist

Outlier
04.2024 - Current

Certificate diploma - Artificial Intelligence & Machine Learning

Loyalist College
04.2023 - Current

Degree (M.Sc.) - Mathematics and computing

Punjabi University
06.2020 - 05.2022

Degree (B.Sc.) - Mathematics and Statistics

Punjabi University
06.2016 - 05.2019
Nishwinder VirkAI And Data Science Intern