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About Me

Hello! I'm Archita, Results-driven Analytics Manager with 6+ years of experience in tech., consumer goods, and consulting. Expertise in advanced analytics, forecasting and predictive modeling, and data storytelling, utilizing interactive dashboards to optimize strategies, drive revenue growth, and enhance reporting efficiency fostering a data-driven decision-making culture in dynamic environments.

Strong management and communication skills with exceptional critical thinking, an analytical approach, and possess ad-hoc problem-solving skills. Constantly learning, self motivated to try new things, and love to get myself there, grinding through the tough questions, and leading the way to the best possible solution. I am skilled for most data-science steps: data pre-processing, application of statistical methods, data visualization and Story telling.

I earned my masters from The University Of Texas At Dallas, and did my bachelors from LSE where I explored various facets of data science, data analytics and Statistics.

Here are a few technologies I've been working with recently:

  • SQL
  • Tableau
  • Advanced Excel
  • Data Visualization
  • Marketing Analytics
  • Python
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Where I’ve Worked

Analytics Manager (US & Canada) @ Marriott International

July 2023 - Present

Global Marketing:

  • Actively working as an Analytics Manager of Topline Performance Analysis for Global Marketing US & Canada
  • Developed self-service Marketing Dashboard for 6,500+ hotels, streamlining multiple reports into a one-stop solution
  • Collaborated cross-functionally across 11+ stakeholder teams to successfully define, measure, and visualize KPIs
  • Built self-service reporting solutions, reducing manual data compilation by 70%, allowing for greater strategic focus
  • Led dashboard training for 8,000+ area directors, using storytelling to enhance adoption and drive data-driven decisions
  • Created a centralized scorecard page consolidating 15 key KPIs, enabling ADMs to quickly assess hotel performance
  • Developed a benchmarking feature using percentile index to assess performance gaps across KPIs relative to peer set
  • Implemented a benchmarking tool that drove a 5% RevPAR growth by comparative performance across properties
  • Automated data validation processes using SQL, reducing manual checks by 80% and accelerating publishing by 2 days
  • Optimized SQL stored procedures, resulting in a 30% reduction in query run time and enhanced reporting accuracy
  • Facilitated C-suite executives by addressing ad-hoc requests and providing actionable insights to drive decision-making

Demand Generation:

  • Built a Demand Generation Dashboard by integrating 10M+ of data points from Datorama, Adobe, and Snowflake.
  • Generated a 10% increase in digital bookings by equipping properties with marketing insights to reduce OTA reliance.
  • Acted as the primary analytics lead for end-to-end dashboard development, KPI tracking, and resolving data issues
  • Analyzed paid media campaigns that led to a 20% increase in ROI by optimizing adjustments and budget reallocation.
  • Identified and flagged third-party data discrepancies, improving data accuracy to 99% for informed business decisions.
  • Facilitated stakeholder communication through daily stand-ups, weekly updates, and JIRA tracking to ensure timeliness.
  • Guided peers in Power BI best practices, enhancing their skills and reporting capabilities to drive team growth.

Revenue Management:

  • Designed scalable data models and ETL pipelines to ensure data accuracy, completeness, and actionable insights.
  • Delivered key performance insights via engaging presentations for business health, QBRs, and earnings calls.
  • Analyzed feature impact on customer journeys in collaboration with product teams using Adobe Analytics and SQL

Some Projects I’ve Worked On

Other Noteworthy Projects

view the archive

Credit Card Fraud Detection

Analyzed financial data and utilised sampling techniques to predict the probability that an online customer transactions is fraudulent using extensive EDA, and building predictive models and XGBoost model

  • Python
  • Machine Learning
  • Fraud Analytics

Predicting Airbnb Listing Price

Achieved 70% accuracy in predicting Airbnb prices for the 4000 listings by using feature-engineering and stacking 6+ regression models to analyze the relationship between the prices and industry trends.

  • Python
  • Regression Models
  • ML

HR Analytics Dashboard

Analysed the employee attrition rate in Tableau by identifying key measures like monthly income, years of experience, job satisfaction etc to ensure corrective actions were taken aligning with employee retention initiatives.

  • Tableau
  • Data Visualisation
  • People Analytics

Telecom Churn Prediction

Achieved 80% accuracy in predicting Churn Rate for the Telecom by using feature-engineering and stacking 6+ classification models with grid search

  • Python
  • Classification Models
  • Churn Prediction

Superstore KPI Dashboard

Welcome to the Superstore Sales Dashboard! This dashboard is based on a sample dataset from a global retailer. It highlights metrics of interest to executive leadership, managers, and sales reps.

  • Tableau
  • Sales Analytics
  • Data Visualisation

Tesla Stock Analysis Dashboard

Extracted the Tesla stock price data using google finance that updates daily so the investors can keep track of the #sharemarket prices and Volumes and view the trends

  • Tableau
  • Google Finance
  • Data Visualisation

What’s Next?

Get In Touch

I'm currently looking for new job opportunities.
I would also love to connect with people and collaborate on any interesting analytics ventures.
Whether you have a question or just want to say hi, Feel free to reach out to me!