Hello, I'm Aarsh Ghotra 👋🏻

I am a masters graduate with a profound interest in technology, data and a dedication to solving complex problems and proven track record of working as Data Based Software Engineer and a Data Analyst for 3+ Years.

Objective

My journey in computer science has led me to develop a passion for playing with data, and I am now eager to transition into this field, specifically aiming to join organizations as Data Analyst and Data Engineer.

Skills

Statistical Analysis
SQL
Python
Java
Data Cleaning and Preprocessing
Data Visualization
Database Management
Machine Learning
Cloud Computing
ETL Pipelining
Problem Solving
Version Control

Tools

MySQL Workbench, Microsoft SQL Server, MongoDB Compass
Pandas, NumPy, Matplotlib, Seaborn,Scikit-Learn,Tensorflow, PyTorch
Feature Engineering, Data Prep
Tableau,Microsoft Power BI,Google Data Studio
Amazon Web Services, Google Cloud Platform, Microsoft Azure
Apache Airflow, AWS Glue, Google Cloud Dataflow
Git

Certifications

AWS Academy Graduate - AWS Academy Data Analytics
Data Science on Google Cloud
Google Cloud Essentials

Projects

Supply Chain Analysis
Apple Stocks Analysis
Predective Maintainence for Fault Detection

Aarsh G's Projects

apple-stocks-data-analysis

By examining data from the stock market, notably from some of the world's largest technological companies and others. We will use pandas to obtain stock data, visualized several elements of it, and then looked at a few different approaches to analyze a stock's risk based on its past performance history.

apple-store-applications-data-analysis

This project aims to provide insights into the Apple Store's app ecosystem by analyzing a dataset that includes details about various apps available on the platform. Key questions addressed include identifying the most popular app categories and strategies for maximizing user ratings.

calculatorlab-fork

Developed a starter code for student to build a basic calculator which performs Scientific operations, Simple Operations with the help of python programming as a part of course work for ITSC 3155.

classification-and-action-rule-extraction-using-fragile-state-index

We calculate how a country should shift from alert to a warning condition using Action-Rules. This focus also emphasizes the importance of each dataset attribute in generating the country's fragile state index.

financial-analysis-report-using-tableau

This project showcases a Profit and Loss Statement Dashboard created using Tableau. The dashboard analyzes financial metrics such as Sales, Net Profit, Gross Profit, Net Profit Margin, and Gross Profit Margin to provide insights into the financial performance of a business.

healthcare-data-analysis

This project aims to conduct an exploratory data analysis (EDA) on healthcare data using Python. Exploratory data analysis is an essential step in understanding the characteristics of a dataset before applying any machine learning models or drawing conclusions.

predective-maintainence-for-fault-detection

Recent studies on predictive maintenance help industries to create an alert before the components are corrupted. Prediction of component failures, companies have a chance to sustain their operations efficiently while reducing their maintenance cost by repairing components in advance.

supply-chain-analysis

With the growing usage of ecommerce websites, The demand to get the product delivered is also increasing. So to meet today's societies expectation to deliver the product as early as possible we need predictive analysis of shipments and why certain shipments are being delayed.