Business Analytics Professional

Hi, I'm Tanushree
I turn messy data into

clear decisions.

MS Business Analytics · Dallas, TX · Open to opportunities across the U.S.

4Case studies
73.9KPublic rows in dashboards
3Industries
12+Countries visited
Selected Work
Transportation safety

TxDOT Work Zone Crash Risk

2025–2026

Analytics capstone on 93,000+ TxDOT crash records. Built a KPI reporting framework, deployed a Gradient Boosting Classifier (1.00 F1-score), and presented data-driven road safety recommendations to stakeholders.

53,086crashes analysed in the public-data dashboard
PythonScikit-learnKPI ReportingGradient Boosting
Manufacturing

Predictive Maintenance Analysis

2025

Built and optimized Random Forest and Neural Network models on a 5,000-record dataset, achieving 80% accuracy. Delivered business-facing performance reports with actionable recommendations.

3.4%failure rate in the public-data dashboard
PythonScikit-learnRandom ForestNeural Networks
Customer experience

Starbucks Product Recovery Strategy

2025

Led team analysis of negative customer feedback to identify product gaps in Starbucks canned drinks. Developed and presented a structured business recovery strategy to stakeholders.

1.9average rating in the public-data dashboard
Data AnalysisBusiness StrategyStakeholder Presentation
Retail

Retail Superstore Data Analysis

May 2026

Analyzed retail data across 7 operational dimensions. Prepared a formal multi-page report with visualizations and data-driven recommendations — a complete stakeholder-ready analytical deliverable.

$2.3Mrevenue in the public-data dashboard
PythonPandasPlotlyReportLab
Analytics lab

Dashboards built from real, public data

Every project has a live dashboard, rebuilt on a public dataset from the same domain. Hover the charts, flip them into tables and check the numbers — sources are cited on every page.

Transportation safety

What makes a Texas work zone risky?

Crashes analysed53,086Dallas + Ellis, 2025
In work zones2,258
Work-zone share4.3%
With workers present721

Work-zone crashes by month

2025, Dallas and Ellis counties

Lowest in Jan, highest in Oct.

When work-zone crashes happen

Crash count by day of week and 3-hour window

12–3a3–6a6–9a9a–12p12–3p3–6p6–9p9p–12a
Mon2113544046563239
Tue1712475755503336
Wed2020685458644848
Thu1420544746674151
Fri2331515963564641
Sat5325243947435138
Sun3923212833293136
Crashes spread across weekday daytime hours; 3–6p is the busiest weekday window.
Source: TxDOT CRIS crash records — Dallas & Ellis counties, 2025 · 53,086 rowsOpen the full case study →
Experience
  1. Sep 2023 – Dec 2023

    Associate Specialist, Participant Transactions

    Empower · India
    • Processed and analyzed 15+ daily service requests on U.S. retirement accounts (401k), keeping the error rate under 3% through rigorous data-quality validation.
    • Liaised between compliance, operations and end users to resolve discrepancies in contributions, distributions and rollovers.
    • Documented process inefficiencies and recommended workflow changes that cut manual handling steps and improved turnaround time.
  2. May 2022 – Jun 2022

    Human Resources & Business Operations Intern

    Vitara Enterprises · Virtual
    • Mapped end-to-end Hire-to-Retire processes to find inefficiencies and recommend workflow optimizations.
    • Analyzed social media campaign engagement metrics and supported reports and business plans.
  3. Apr 2021 – May 2021

    Project Intern

    Nblik App Development · Virtual
    • Gathered user requirements and documented feedback to improve app functionality and user experience.
  4. Mar 2021 – Apr 2021

    Volunteer, COVID-19 Vaccination Influencer Campaign

    Bhumi · Virtual
    • Created and shared content that raised vaccination awareness and registration.
Education
MS, Business AnalyticsUniversity of North Texas · Denton, TXAug 2024 – May 2026Database Systems, Data Visualization, Predictive Analysis, Data Mining, Consumer Behaviour, Programming for Business Analytics
BBASt. Claret College · Bangalore, IndiaAug 2020 – May 2023Marketing, Sales, Finance, HR
Toolkit

Analysis

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • SQL
  • Excel
  • Jupyter

Visualization

  • Tableau
  • Power BI
  • Matplotlib
  • Seaborn
  • Plotly

Methods

  • Statistical analysis
  • Predictive modeling
  • KPI reporting
  • Data mining

Business

  • Requirements gathering
  • Process documentation
  • Stakeholder communication
  • Process improvement

AI-assisted workflow

  • Claude
  • ChatGPT
  • Dataset exploration
  • Report drafting
  • Code assistance
A little about me
Somewhere between gates B12 and home.
“When I'm not digging through data, I'm either at the table tennis table or on a flight somewhere new. Both have taught me the same thing — read the situation fast, adapt, and keep moving.”

My background stretches across data analysis, HR operations, app development, and financial services. Most recently at Empower, I worked on the data behind U.S. retirement accounts — the kind of work where a small inconsistency can echo across thousands of customers, so precision is the job.

I hold an MS in Business Analytics from UNT and a BBA from St. Claret, Bangalore. My day-to-day toolkit is SQL, Python, Tableau, Power BI, and Excel, and I lean on AI tools like Claude and ChatGPT to extend how far and how fast I can reason through a problem.

Traveled 12+ countriesAsia, Europe & beyond
Table tennis playerFast reflexes, faster decisions
Data-driven mindsetEvery trip planned with a spreadsheet
Outside of work
Table tennisTravelNature & mountainsKeyboard

Want to work together?

I'm open to full-time roles and internships across the U.S. The best way to reach me is email.

Say hello ✉📍 Dallas, TX

Designed with care · 2026