Hi! I'm Ashritha

A data analyst focused on impact.

I decode data to reveal stories hidden in numbers, using technology and creativity to drive smart decisions and clear insights.

contact me my resume

Introduction

About me

Hi, I’m Ashritha, a data analyst passionate about visual storytelling and impactful dashboards. I began my career at a startup manufacturing company, where I took on diverse roles across procurement, operations, analysis, and reporting—an experience that sparked my interest in data.

To further my expertise, I completed a Master’s in Business Data Analytics at Lawrence Technological University. I am a Microsoft Certified PL-300 Power BI Developer and have also earned certifications in Google Analytics and HubSpot Inbound Marketing. I also completed the McKinsey Forward Learning program, strengthening my core business and leadership skills.

Currently, I’m expanding my knowledge by exploring cloud platforms. I also bring a background in sales and marketing, which helps me understand business from multiple perspectives.

Tools I Use

Tech Stack

Python

SQL (MySQL)

SQL (PostgreSQL)

Power BI

Tableau

VS Code

Matplotlib

Pandas

NumPy

NoSQL

Oracle

Google Cloud Platform

Snowflake

Looker

Visio

Google Analytics

Hubspot

Git

My Work

Projects

Customer Response Classification

Built ML models for marketing campaign response prediction...

ArtBase: Relational Database Web App

Designed MySQL schema and built a secure PHP web app...

Walmart Sales, Profit Analysis

Interactive Tableau dashboard to uncover trends in product categories, regions, and discounts.

Heart Disease Risk Prediction

Used KNN to predict 10-year risk from Framingham dataset with feature engineering and model evaluation.

Food Nutrient Profile Analysis

Power BI dashboard highlighting nutrient-dense foods using Power Query, DAX, and KPI visuals.

Sentiment & Image Analysis in Politics

Multi-platform sentiment analysis using R and machine learning, correlated with approval ratings.

My Career Journey

Experience

Research Assistant @ Lawrence Technological University

Sep 2024 - Dec 2024

Performed detailed statistical analysis on voting patterns and education levels using Python (pandas, seaborn) and SQL to extract actionable insights, aligning with data quality improvement initiatives.
Developed automated dashboards and data visualizations using Tableau and Excel (pivot tables, VLOOKUP, macros) to illustrate multivariate trends, supporting strategic decision-making.
Utilized SQL and relational databases to validate data accuracy, executing rigorous quality checks and documenting procedures to ensure consistent and reliable research workflows.

ashritha.kandakatla@gmail.com