BI | Data Analyst | Data Modeler | Enterprise Architecture | Dyson | Data Engineering | EX-Bosch | Tableau |

Results-driven data professional balancing technical expertise with strong business acumen to deliver stakeholder value. Demonstrated success in reducing operational costs by 15%, improving data visualization and reporting efficiency by 30%, and generating $20M+ in forecasted savings through strategic data initiatives. Proficient in Python, SQL, Alteryx Tableau, GCP, and AWS with proven ability to translate complex data challenges into actionable business solutions. Skilled in aligning Enterprise Architecture with executive priorities and executing Digital Transformation initiatives that directly impact bottom-line performance.
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Deliverables

The purpose of a business is to create a customer who creates customers.
Dashboards with InsightsDashboards are graphical user interfaces that provide users with real-time insights and data visualizations to help them make informed decisions
Data Modelling & StrategyThe key outputs that are produced during the process of developing a data modeling and strategy plan. These deliverables help to define the scope of the project, identify the key stakeholders, outline the data requirements, and establish a plan for managing the data throughout the project lifecycle.
Usecase DesigningShows the basic layout and functionality of each screen or page.
Mockups - A high-fidelity visual representation of the application's user interface that shows the final look and feel of the application, including colors, typography, and imagery
Prototypes - A functional, interactive model of the application's user interface that allows users to test and provide feedback on the user experience.



Professional experience

I am an Associate Enterprise Architect at Dyson, India, where I strategically align technology solutions with organizational goals, harnessing the power of data analytics for informed decision-making. My expertise lies in optimizing IT infrastructure through effective data modeling, baseline analysis, and strict adherence to enterprise standards. I am committed to ensuring regulatory compliance and robust data security, contributing to a resilient and efficient technological landscape.
I worked as a Technical Business Analyst Intern at TEQUED labs in Bangalore. During my internship, I closely collaborated with leading technologies to identify the most significant business pain points that could be resolved using the power of AI/ML capabilities. I used several tools and languages, including Python, Alteryx, MYSQL, R, and Tensorflow, to support my analysis.
As a Project Program Coordinating Intern at Analysed.in in Gurgaon, the intern worked on an ATS web application project, analyzing data, processes, and codes to troubleshoot issues and identify areas for improvement. They also managed a team of 20 junior interns and used a variety of tools and languages, including VS Code, MS Excel, MS PowerPoint, ERD tool, Python, and Tableau.
I worked as a Product Strategy and Analytics Intern at BOSCH in Bangalore. During my internship, I worked on a mobility solutions product, drilling down into data and analyzing it to develop better business strategies. I used a variety of tools and languages, including Power BI, MS Excel, MYSQL, and UI path.
CHECK MY WORK

Works

Here are some of my Works

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Services

Without data, you're just another person with an opinion
PremiumDashboard
DashboardTBD
Data modellingTBD
Data PreparationUNLIMITED
Dara CleaningUNLIMITED
CHOOSE
mediumInsights and Strategy
Total data study
TBD
Insights with explanation
TBD
Problem Solving
UNLIMITED
Strategy to Solve
UNLIMITED
CHOOSE
MinimalUI  Design
PrototypingTBD
Flow creation
TBD
UI Flow
UNLIMITED
Creative Design
UNLIMITED
CHOOSE

Check my most effective Certifications

Google data Analytics Professional Certificate
The Google Data Analytics Professional Certificate is an online program designed to provide learners with the foundational knowledge and skills needed to start a career in data analysis. The program consists of six courses and a final project, all of which can be completed in about six months.
The courses cover various topics related to data analysis, including data collection, data cleaning, data analysis, data visualization, and data presentation. Students will learn how to use tools such as spreadsheets, SQL, Tableau, and Google Data Studio.
Upon completion of the program, students will be able to analyze large data sets, create data visualizations, and communicate their findings effectively.
Career Essentials in Data Analysis by Microsoft and LinkedIn
Career Essentials in Data Analysis is a course created by Microsoft and LinkedIn, designed to help learners gain the foundational skills necessary to pursue a career in data analysis. The course is delivered through a series of video lectures and hands-on exercises and can be completed in approximately 10 hours.
The course covers several key topics, including data analysis basics, data cleaning and preparation, data visualization, and storytelling with data. Learners will use tools such as Excel, Power BI, and Tableau to perform data analysis tasks and create compelling visualizations.
Alteryx Micro Credential
The Alteryx Micro Credential is a certification program designed to validate a user's proficiency in using Alteryx, a popular data analytics platform. The program consists of three courses, each focused on a different aspect of the Alteryx platform, including data preparation, data blending, and data analysis.The Alteryx Micro Credential program is an excellent way for individuals to demonstrate their proficiency in using Alteryx to potential employers. The program provides learners with practical experience using the platform to perform common data analysis tasks and prepares them for more advanced work in the field. Additionally, the program is recognized by Alteryx, which can help learners stand out in a competitive job market.
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Discover Our Process

How Analytics Work

Ask

The first phase of the data analysis process is asking the right questions

Prepare/Process

The second phase is to prepare the data

Analyze

The Third phase is to analyze the data

Share/Act

The Final phase is to share your data findings.