Radhika Balaji
Business Operations & Data Analyst

Radhika Balaji

I work with data, reporting systems, and automation — building dashboards, organizing information at scale, and turning raw data into clear business insights. Based in Rogers, AR, focused on CPG, retail, and sales operations. This is a selection of projects I've worked on.

Selected Work

5 projects
Power BI · SQL · Excel

Retail Sales & Customer Insights Platform

A full Walmart supplier analytics dashboard built for FreshNest Foods — a fictional CPG company. Covers sales performance, promotional effectiveness, inventory health, regional insights, and executive recommendations across 98,000+ records and 4 retailers. Designed as a consulting engagement simulation from business problem to data-driven recommendations.

Power BISQLExcelRetail AnalyticsCPGDAX
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Python · OpenAI · HubSpot

AI-Powered Contact Classification Pipeline

A Python pipeline that uses the OpenAI API to classify and enrich a dataset of 90,000+ business contacts — assigning contact type, subtype, and industry, removing duplicates, validating records, and preparing the data for import into HubSpot CRM. Built to replace a manual process that previously took weeks.

PythonOpenAI APIPandasHubSpotData Enrichment
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WordPress · Beaver Builder

Corporate Website Design & Development

Designed and built a professional multi-page website for a financial services firm using WordPress and Beaver Builder — covering homepage, about, and audience-specific pages for two distinct user types. Included content strategy, design system implementation, and consistent brand execution across all pages.

WordPressBeaver BuilderDesign SystemContent Strategy
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Python · Data Analysis

Exploratory Data Analysis — Investment Behavior

Univariate, bivariate, and multivariate analysis of a dataset on lending and investment behavior, examining sector preferences, risk profiles, and participation trends among investors and borrowers.

PythonPandasFeature EngineeringEDA
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Python · Random Forest

Credit Card Fraud Detection

A machine learning model built to detect fraudulent transactions while minimizing incorrect fraud classifications. The optimized Random Forest model produced 9 false positives across 71,091 transactions.

PythonRandom ForestScikit-learnModel Optimization
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About

I'm a Business Operations and Data Analyst with experience in sales reporting, KPI tracking, and business intelligence. I build dashboards, automate reporting workflows, and translate data into clear recommendations that help teams make faster, better decisions.

My background combines data science, CRM operations, and digital execution. I work mostly with Power BI, Excel, SQL, and Python, and I'm comfortable moving between technical work and business context. Based in Rogers, AR — focused on roles in CPG, retail, and sales operations.

Data & Analytics
Power BISQLExcelPythonTableauStatistical Analysis
Excel
Pivot TablesPower QueryXLOOKUPINDEX MATCHData Validation
CRM & Operations
HubSpotSalesforceData EnrichmentSegmentationWorkflow Automation
AI & Tools
OpenAI APIClaudeChatGPTGitHubWordPress

Background

2025 — Present

Business Operations & Data Analyst

Fairwinds Capital

Sales reporting, KPI dashboards, CRM data management, and automation pipelines.

2022

Post Graduate Program, Data Science & Engineering

Great Lakes Institute of Management
2019

B.Tech, Civil Engineering

BSA Crescent Institute of Science & Technology
Certification

HubSpot Inbound Certified

HubSpot Academy · 2026