Natasha Sharma

I am a

About Me

Hi, I am Natasha Sharma, a dynamic and results-driven Data Enthusiast with experience in Python, SQL, and data visualization tools such as Power BI and Tableau. Skilled in leveraging statistical and machine learning techniques to uncover actionable insights, streamline processes, and drive data-driven decision-making. Passionate about solving complex problems and delivering measurable impact through innovative analytics solutions.

I also like to

Dance

Travel

Work Experience

Academic Projects

Credit Score Classification Project (Python)

Ambulance Response Time Prediction Analysis (R)

Education

University at Albany, State University of New York

Albany, NY

Master of Information Science in Artificial Intelligence & Data Analytics (GPA 3.86)

Jan 2023 - Dec 2024

IILM University

Gurgaon, India

Master of Business Administration in Marketing (CGPA 8.98/10)

July 2019 - May 2021

Galgotias University

Greater Noida, India

Bachelor of Computer Application (CGPA 9.26/10, Gold Medalist)

July 2015 - May 2018

Skills

Make sure to check out my Git repository!

Python

R

SQL

HTML

CSS

SAS

Tableau

PowerBI

ETL Pipelines

AWS

Microsoft Office

Microsoft Azure

Data Cleaning

Machine Learning

Data Analysis

About This Page

This page isn’t just a showcase of my professional journey—it’s also a demonstration of my technical skills and passion for creating efficient, scalable solutions.

Here’s how I built it:

Hosting and Domain: I’ve utilized Amazon S3 to host the site data, ensuring reliable and cost-effective static file delivery. The domain, registered with Route 53, is seamlessly connected to the S3 bucket using DNS records and an alias, enabling smooth content delivery to natasha-sharma.click.
Visitor Tracking: To add an interactive layer, I implemented visitor tracking (at the top of the page) using DynamoDB. Each time someone visits the site, the visitor count is updated dynamically.
Serverless Backend: An AWS Lambda function, triggered by API Gateway, handles the logic to increment the visitor count in DynamoDB. This setup is highly scalable and cost-efficient, aligning with modern serverless architecture principles.
Frontend Integration: JavaScript embedded in this page communicates with the API Gateway to trigger the Lambda function and update the count.

This project showcases my ability to design and implement end-to-end solutions leveraging cloud services. It reflects my hands-on experience with AWS, serverless computing, and frontend-backend integration to deliver functional, scalable, and well-architected systems.