Business Operations & Analytics

Mrinali
Karthik

Turning messy data into clean operations through analytics, process optimization, and a knack for making complex workflows actually work.

Get in Touch ↗ View My Work Resume
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Process Optimization ✦ Data Analytics ✦ KPI Dashboards ✦ CRM Migration ✦ Workflow Automation ✦ Predictive Modeling ✦ Stakeholder Reporting ✦ ETL Pipelines ✦ CRM Data Governance ✦ Process Optimization ✦ Data Analytics ✦ KPI Dashboards ✦ CRM Migration ✦ Workflow Automation ✦ Predictive Modeling ✦ Stakeholder Reporting ✦ ETL Pipelines ✦ CRM Data Governance ✦
Mrinali Karthik

About Me

Bridging Data
& Operations

I'm a Business Analytics graduate from Northeastern University with 2.5+ years of professional experience at Deloitte where I earned multiple awards for driving process efficiency and building automated reporting systems.

Currently as an Operations Analyst Intern at the Desai Foundation, I'm tackling CRM data migrations, donor database integrity, and building unified datasets that empower outreach teams for the first time.

My sweet spot is the intersection of operations and analytics diagnosing bottlenecks, automating the mundane, and delivering insights that leaders actually use to make decisions.

2.5+
Years Experience
3K+
Records Cleansed
60%
Effort Reduced

Expertise

Skills & Tools

A versatile toolkit spanning analytics, engineering, and business intelligence, honed across enterprise environments and real-world projects.

⚙️
Analytics & Operations
Process Optimization Bottleneck Analysis SLA / TAT Monitoring KPI Definition Workflow Documentation Stakeholder Reporting Data Mining Agile / Scrum
📊
Data & BI Tools
SQL Python R VBA DAX Alteryx Power BI Tableau Excel (Advanced)
🔧
Data Engineering
ETL Pipelines Data Cleaning Deduplication Exploratory Analysis Data Validation
🤖
Machine Learning
Logistic Regression Decision Tree Random Forest Model Tuning Predictive Modeling
☁️
CRM & Platforms
HubSpot Salesforce Jira Monday.com Microsoft Office Google Workspace PowerPoint

Career

Work Experience

From enterprise tax analytics at Deloitte to nonprofit operations, a track record of driving efficiency and data integrity.

Operations Analyst
Desai Foundation (Internship) · Woburn, MA
Feb 2026 to Present
  • Analyzed email engagement metrics (open, click, and bounce rates) across a 15,000-contact donor base in Python to segment audiences by responsiveness, flagging 3,000+ disengaged contacts for suppression and improving list health by 20%
  • Diagnosed and resolved data integrity issues across the full donor database following a Salesforce-to-HubSpot CRM migration, executing end-to-end data cleansing and validation across ~3,000 donor records within a 15,000-contact database and resolving 300+ duplicates
  • Unified 3+ years of fragmented event attendance records into a single donor dataset using Python and Excel, equipping the outreach team with a reliable source of truth for the first time
  • Cut recurring manual cleanup for the operations team by building 3 HubSpot data-quality workflows that flag and auto-correct record errors as they occur, embedding ongoing data governance into the CRM
Operations & Data Consultant
Deloitte · Hyderabad, India
Feb 2022 to Jul 2024
  • Received Spot Award and Outstanding Employee Award for three consecutive cycles for meeting deadlines and enhancing SLA adherence
  • Identified bottlenecks across end-to-end tax processing workflows, strengthening SLA adherence during high-volume filing cycles
  • Automated reconciliation and reporting workflows using Alteryx, reducing manual effort by ~60%
  • Designed Excel-based KPI dashboards tracking processing volume, TAT, and exception rates for monthly operational reviews
  • Mentored 3 junior analysts, contributing to a ~30% increase in overall team productivity
  • Identified the top drivers of client dissatisfaction with Deloitte's data-collection interface by systematically gathering and analyzing client feedback, translating recurring pain points into a prioritized list of fixes

Portfolio

Featured Projects

End-to-end analytics projects, from data wrangling and modeling to visualization and strategic recommendations.

PythonExcelTableau
Logistics Delay Risk & Operations Optimization
  • Cleaned and analyzed a logistics dataset in Python to surface key delay drivers including traffic status and waiting time
  • Built and tuned Logistic Regression, Decision Tree, and Random Forest models, improving prediction accuracy from 72% to 87% and reducing false negatives by 84%
  • Delivered Tableau visualizations and recommended dispatch and inventory adjustments to reduce shipment delays during peak periods
View on GitHub ↗
SQLPythonPower BIExcel
Vendor Performance & Inventory Risk Analysis
  • Built a single, analysis-ready database by consolidating a 1M+ record retail dataset in SQL, joining multiple tables and writing queries to mine and clean the data
  • Conducted an end-to-end operational audit across a 1M+ record retail dataset to diagnose vendor dependency and cost overruns, finding ~66% of purchase volume concentrated among 3 vendors
  • Built a Power BI dashboard consolidating supplier concentration, inventory turnover, gross margin, and procurement spend KPIs
  • Delivered actionable recommendations covering vendor diversification, inventory rebalancing, and purchasing prioritization
View on GitHub ↗
PythonPower BIExcel
Business Analysis for NOVICA on Amazon
  • Analyzed 5,000 Amazon product listings to identify which PDP elements influenced conversion performance
  • Standardized unstructured data using Python and applied regression and ANOVA analysis to evaluate the impact of A+ content, images, videos, and ratings
  • Identified A+ content and product videos as high-impact drivers of conversion, translating findings into content optimization recommendations to improve listing performance
PythonExcelPower BI
Marketing Campaign Performance & A/B Testing Analysis
  • Determined the higher-ROI marketing channel and informed budget allocation decisions by analyzing 365 days of Facebook vs Google Ads campaign data using Python and statistical testing
  • Identified ~70% stronger conversion performance and higher CTR from Facebook campaigns, validating channel optimization opportunities through hypothesis testing on conversion rate, CTR, and CPC
  • Enabled performance-driven decision-making by developing a Power BI dashboard tracking funnel metrics, campaign ROI, and cost efficiency across channels
View on GitHub ↗

Education

Academic Background

Master of Science in Business Analytics
Northeastern University, Boston, MA
Sep 2024 to Dec 2025
STEM Designated
Bachelors in Business Administration
Osmania University, Hyderabad, India
June 2018 to Apr 2021

Credentials

Certifications

Industry-recognized certifications across data analytics, business intelligence, and operations.

DC
Intermediate SQL
DataCamp · Oct 2025
DC
Introduction to Power BI
DataCamp · Oct 2025
in
Marketing Analytics: Setting and Measuring KPIs
LinkedIn · Aug 2025
in
Building KPIs for Data-Driven Strategy
LinkedIn · Aug 2025
in
Supply Chain Basics for Everyone
LinkedIn · Aug 2025
FO
Tata Data Visualisation Job Simulation
Forage · Jul 2025
FO
Deloitte Data Analytics Job Simulation
Forage · Jul 2025
in
CRM Basics
LinkedIn · Jun 2025

Get in Touch

Let's Connect

Open to full-time opportunities in business operations, analytics, and data-driven strategy roles.

📧
Email karthik.mr@northeastern.edu
📱
Phone (732) 712-0524
💼
LinkedIn linkedin.com/in/mrinali-karthik
🐙
GitHub github.com/MrinaliKarthik
📍
Location United States

Ready to collaborate?

Whether you need someone to optimize operations, build dashboards, or wrangle messy data, I'd love to chat.

Send an Email ↗