Akshita Bhalla

Data analyst working across market intelligence, product analytics and, more recently, AI products. Before Seattle: Agoda in Bangkok, Net Solutions in Chandigarh, Capgemini in Pune. Now an MS Business Analytics candidate at Seattle University, building Lucen on the side.

I started on McDonald’s point-of-sale code in Pune, moved into product ownership in Chandigarh, then into market intelligence at Agoda in Bangkok.

In Seattle I worked with three restaurants to find where their revenue was leaking and win it back. Now I’m studying business analytics at Seattle University and building Lucen.

TableSpoon

Identified 30% revenue leakage to third-party delivery platforms by analyzing revenue and commission costs across every sales channel (dine-in, takeout, phone, and delivery apps) for three Seattle-area restaurants.

1. 01Improved net revenue 18% by launching a commission-free online ordering channel and moving third-party customers to it through loyalty programs, targeted discounts, and print campaigns.
2. 02Raised promotional ROI 22% and repeat orders 15% by running structured pricing, menu, and promotion experiments and keeping only the offerings that earned the most in each category.
3. 03Saved 12 hours of manual reporting per week and cut data refresh time 70% by building Python (pandas) pipelines that combine point-of-sale (POS) data from Toast, Clover, and Square with online orders in Tableau dashboards.
4. 04Secured owner buy-in for a direct-ordering strategy by presenting channel profitability findings and recommendations to each restaurant owner.
5. 05Gave owners one reliable view of revenue by channel by reconciling order data across disconnected POS and website systems.

Agoda

Detected performance issues 23% faster against SLA by automating real-time KPI monitoring across six Southeast Asian (SEA) markets, covering revenue and unit economics, conversion, retention and lifetime value, marketing ROI, and market share.

1. 01Improved analytics productivity 12% by launching self-serve KPI dashboards in Tableau that replaced manual data requests and were subscribed to by 90+ stakeholders, including the senior leadership team (SLT).
2. 02Led an SLT-requested Vietnam market assessment, explaining shifts in revenue, unit economics, retention, and channel performance by tying them to competition, seasonality, holidays, and promotions, and presented the findings to SLT.
3. 03Informed a feature that lifted engagement 5.3% in product-team A/B testing by researching how competing travel apps use gamification and presenting the findings to SLT.
4. 04Kept SLT current on booking performance, market share, and competitive dynamics in all six SEA markets by writing biweekly market intelligence briefings.
5. 05Tracked market share shifts across SEA markets by monitoring Agoda's competitive position against regional online travel agencies and metasearch platforms.
6. 06Informed the choice of which market to launch first, India or Japan, by helping design and analyze a Kantar consumer research study.
7. 07Flagged material performance shifts to leadership by owning daily performance monitoring across SEA markets.
8. 08Answered ad hoc questions from SLT by running SQL analysis on booking, customer, and market data and visualizing the results in Tableau.

Net Solutions

Owned a sales app for client Arbor projected to add $31M in annual revenue by shortening deal cycles, letting reps present products, sign contracts, and take payments on-site.

1. 01Led an 11-person team of engineers, testers, UX designers, and an architect on a $1M build, running agile delivery in two-week sprints.
2. 02Secured client approval at the end of every sprint by presenting completed work to Arbor managers and confirming requirements before the next sprint began.
3. 03Turned bottlenecks in Arbor's sales process into product requirements by interviewing the sales reps who sell in the field.
4. 04Set sprint scope from a prioritized backlog by partnering with Arbor's business analyst to translate their requests into epics and user stories, and managed that backlog through the build.
5. 05Confirmed features met client requirements before release by writing user stories for engineering and QA and supporting user acceptance testing (UAT).

Capgemini

Resolved McDonald's POS defects across the UK, Germany, France, and Italy within a 7-day turnaround by reproducing store-reported issues and shipping C# hotfixes.

1. 01Built POS features in C# for McDonald's 2019 Monopoly promotion across the UK and Ireland.
2. 02Turned market-specific promotion requirements from McDonald's Europe, Middle East, and Africa (EMEA) markets into new POS features.
3. 03Gathered the detail needed to reproduce and fix in-store POS issues by working directly with store managers.
4. 04Kept a running record of every fix and feature for the EMEA team by tracking bugs and requests in Jira and documenting each change in Confluence.

Projects

Small software I design and build end to end. Every project ships to the same demo site, so you can try each one in your browser.

Education

Toolkit

Get in touch

Email is the fastest way to reach me. My résumé has the full detail behind everything on this page.