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
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
Featured Project
Analysis of Olist Ecommerce Data
Performed EDA and Segmented customers into specific clusters based on Cohort Analysis, RFM Modeling using their purchasing behavior. Also, Implemented ML model called K-Means Clustering to find out best valued customers by segmenting them into homogeneous groups, to understand the traits/behaviour of each group, and engage them with relevant targeted campaigns.
- Python
- Machine Learning
- Customer Segmentation
Featured Project
Covid-19 Dashboard
Created dynamic visualization to track the real-time Confirmed and Death Cases By Location. I took the World-Level Data from the CDC Website and connected the data through Web Data Connector. My main aim is to focus the audience’s attention on which country have the most and least number of cases and deaths.
- Tableau
- Data Visualisation
- Web Connector API
Other Noteworthy Projects
view the archiveWhat’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!
Connect with me on LinkedIn



