Aakash A Aundhkar

Intro

I'm Aakash, a passionate Data Scientist with a Master's degree in Data Analytics Engineering from George Mason University. With a dynamic background and a zest for data-driven insights, I've had the privilege to gain valuable experience through internships, full-time roles, and various projects.

Currently, I work as a Data Analyst with the State of Vermont, where I leverage data to support transportation initiatives through complex data processing, analysis, and automation. I develop powerful tools, such as automated Power BI dashboards, to streamline reporting processes, identify traffic patterns, and enhance data-driven decision-making across the agency.

Previously, I served as a Data Analyst at the prestigious Mercatus Center, engaging in the exciting world of policy analysis, where I leveraged data to make informed decisions and shape public discourse. During the past summer, I had the pleasure of interning at Nestlé USA as a Data Science Intern, working on a diverse range of projects, from forecasting to classification and in-depth data analysis. My contributions extended both as an individual contributor and as a vital team member, harnessing the power of data to drive solutions and deliver results.

I'm enthusiastic about the limitless possibilities that data science offers and look forward to continually expanding my horizons in this field.

Projects

Data Cleaning in SQL

In this project we take raw housing data and transform it in SQL Server to make it more usable for analysis.

• View Project

Covid 19 data exploration

In this project we use SQL Server to explore global COVID 19 data.

• View Project

Tableau Dashboards

Tableau Dashboards for projects on COVID 19 data visualization

• View Project

Predicting Stock Market Trends Using Machine Learning

This research project aims to improve stock market prediction using machine learning techniques on historical data for accurate investment decisions.

• View Project

Data Professional Insights: A Comprehensive Survey Analysis

An in-depth PowerBI project dissecting responses from data professionals on key aspects such as preferred programming languages, salary satisfaction, and entry barriers into the data field. This project offers a nuanced understanding of the current trends and challenges faced by data practitioners.

• View Project

Engineering Insights: Transforming Uber Data into Actionable Intelligence with GCP and Data Pipelines

Engineering Insights revolutionizes Uber data handling by architecting a scalable GCP and Mage-powered data pipeline, turning raw data into strategic insights with BigQuery analytics and Looker Studio visualizations. This project epitomizes data engineering excellence, focusing on automation, efficiency, and actionable intelligence.

• View Project

Regional Sales Dynamics: A PowerBI Exploration

A detailed PowerBI analysis incorporating huge dataset to unveil sales trends across various regions. This project highlights regional market strengths, opportunities, and offers a comparative understanding of diverse sales landscapes.

• View Project

LLM Threat Fusion: Integrating Sources for Enhanced LLM Analysis

Spearheaded the integration of diverse perspectives on LLM threats, combining insights from multiple sources to provide a comprehensive understanding of the risks associated with large language models.

• View Project

About

Lorem ipsum dolor sit amet, consectetur et adipiscing elit. Praesent eleifend dignissim arcu, at eleifend sapien imperdiet ac. Aliquam erat volutpat. Praesent urna nisi, fringila lorem et vehicula lacinia quam. Integer sollicitudin mauris nec lorem luctus ultrices. Aliquam libero et malesuada fames ac ante ipsum primis in faucibus. Cras viverra ligula sit amet ex mollis mattis lorem ipsum dolor sit amet.

Contact

• linkedin
• GitHub
• Resume

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';