Preyash Mistry

Background

About Preyash Mistry

As a dedicated Data Analyst with over 2 years of experience, I excel in leveraging Python, SQL, and advanced visualization tools such as Power BI and Tableau to deliver impactful insights and data-driven solutions. My expertise lies in creating dynamic dashboards, automating workflows, and interpreting complex data to drive informed decision-making. Currently, I'm making a significant impact at Global Nexus Consulting by enhancing sales forecasting and optimizing data handling processes. Skills: Methodologies: SDLC, Agile/Scrum, Waterfall Languages: Python, R, SQL Data Visualization Tools: Tableau, Excel, PowerBI Documentation: FRD, BRD, SRS Project Management Tools: MS Project, MS Excel, MS SharePoint, MySQL, MS-SQL Server Analysis Skills: Cost/benefit analysis, Impact analysis, GAP analysis, Risk analysis, Data Modeling, Data Automation Other skills: AWS, Azure DevOps, GitHub, Sphere, JSON, XML, CI/CD, Hadoop, Pandas, Matplotlib, Seaborn Operating Systems: Windows, Linux Projects: Kloud Deploy - Multi-cloud Management Platform -> Developed a multi-cloud management SaaS facilitating server creation and WordPress hosting on Digital Ocean and AWS. Utilized Terraform and Ansible for streamlined server provisioning and automation-> Architected and implemented a user-friendly React website, integrating APIs for seamless interaction with the multi-cloud platform. Deployed the entire system on a Sphere server, ensuring stability and reliability-> Engineered AWS architecture for hosting the website. Leveraged Terraform, Ansible, and Jinja2 templates to automate provisioning and configure user instances on AWS and Digital Ocean. Resulted in a fully functional and optimized operational environment. Immigration Insights Project -> Spearheaded the extraction of key performance indicators (KPIs) for Canadian immigration trends, utilizing advanced Tableau features to provide in-depth insights-> Implemented feature engineering and robust ETL processes, optimizing the identification and prediction of critical variables, thereby enhancing the precision of the analysis-> Conducted intricate correlation analyses, refining the analytical model and strategically employed Tableau for sophisticated Exploratory Data Analysis (EDA), visualizing complex feature relationships, and effectively communicated findings for strategic decision-making. Connect with me on GitHub: github.com/Pmistry5299