Hello!

I'm Rishika Dendi

Experience

CVS Health – Data Analyst (Feb 2024 – Present)
Accenture – Data Analyst (Jul 2021 – Jul 2023)
Sigma Microsystems – Data Analyst Intern (Apr 2021 – Jul 2021)

Education

Master of Science in Business Analytics,
University of Massachusetts Amherst (Sep 2023 – Dec 2024)

Certifications

Microsoft Certified: Power BI Data Analyst Associate
Google Data Analytics Professional Certificate
DataCamp: Data Analyst

About

About Me

I’m a data analyst with 4 years of experience using SQL, Power BI, Python, and R to turn complex data into meaningful insights across healthcare, retail, and finance domains. I’ve worked with everything from EHR and claims data to financial KPIs and operational metrics, building dashboards, automating reports, and supporting strategic decision-making. My strength lies in blending technical skills with business understanding—whether it’s improving forecasting accuracy, streamlining reporting workflows, or ensuring HIPAA-compliant data governance. I thrive in collaborative environments and enjoy using data to solve real-world problems that drive measurable impact.

4 + Projects completed

Skills

SQL

Python

R

Power BI

Tableau

Excel

Databricks

Snowflake

Azure

AWS

Git

Projects

Projects

Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.

Marketing Campaign Optimization - Machine Learning

Built an ensemble model in Python to predict Gold Membership conversions, enhancing campaign targeting and ROI.

Brain Stroke Prediction

Built a stroke risk prediction model in R using logistic regression and SVM, applying feature engineering and resampling to identify high-risk patients and support early clinical intervention.

Incident Insight Dashboard

Developed an interactive Excel dashboard analyzing 267K U.S. road accident records to identify high-risk road types, seasonal patterns, and optimize safety interventions for policymakers.

Sales Forecast- Time Series Forecasting

Forecasted product sales using Seasonal Naïve, Holt-Winters, ARIMA, SARIMA, and Linear Regression models, identifying regression as the most accurate approach for trend-driven, seasonal data.

Movie-Performance

Analyzed and visualized cleaned TMDB movie data using Python and Tableau to uncover profitability trends by genre, actor, and budget, enabling data-driven insights for box office success.

Contact

Contact Me

Below are the details to reach out to me!

Contact Number

Email Address

rishikadendi@gmail.com

LinkedIn