Projects
- 50project records
- 6categories
- 20reference implementations executed
Project records
- Booking-flow A/B test: should the one-page passenger form ship?
The digital team of the fictional carrier ZX replaced the two-step passenger-details form with a single page.
aviationsyntheticreference executed - Late deliveries and review scores in a marketplace: how much damage, and on which lanes?
A marketplace's logistics team must choose between two investments: faster shipping on specific seller-to-customer
logisticspublic - Cost-sharing and doctor visits: pricing plan tiers from a randomized insurance experiment
A health insurer is designing plan tiers with different coinsurance rates. How many outpatient doctor visits per
insurancebundled-with-libraryreference executed - Where does a steel plant's electricity cost exposure concentrate? Load and power-factor profile
A steel plant's energy manager wants to know when consumption peaks, how often the lagging power factor drops
energypublic - Readmissions by admitting specialty: case-mix-adjusted comparison without chasing noise
A hospital network's quality team wants to review discharge planning in the admitting specialties whose 30-day
healthcarepublic - From session data to an experiment backlog: which conversion drivers deserve a test?
An online shop's growth team wants to know which session behaviours and contexts go with purchases, so that it can
e-commercepublic - District math results: a binomial model that separates context from performance
A state education department wants to understand which district characteristics are associated with the share of
public-sectorbundled-with-libraryreference executed - Passenger no-show probabilities for overbooking and reconfirmation decisions
For each departure of the fictional carrier ZX, how many seats can be sold beyond capacity, and which bookings
aviationsyntheticreference executed - Predicting one-year diabetes progression with an honest error estimate: nested CV on 442 patients
A clinic wants to schedule follow-up intensity from baseline measurements. Can ten baseline variables predict the
healthcarebundled-with-libraryreference executed - Card-fraud alerts under a fixed review budget: ranking on day 1, tested on day 2
A card issuer's fraud operations team can review a fixed number of alerts per day. Which transactions should be
bankingpublic - Probability of default for a card portfolio: calibrated, monotone, explainable and audited
A card issuer wants next-month probability of default (PD) for existing accounts to decide which accounts go on a
financepublic - Churn risk is not persuadability: targeting a retention budget and designing the test that measures it
A telecom's retention team can offer a discount to 10% of its customers this month. Whom should it target, and how
telecompublic - Yield-failure screening from 590 sensor signals: feature selection without fooling yourself
A semiconductor fab can send about 10% of production units to extra inspection before final line test. Can in-line
manufacturingpublic - Caravan-policy propensity for a direct-mail campaign: many weak signals, one held-out shot
An insurer will mail a caravan (mobile home) insurance offer to 800 of 4,000 prospects (20%). Which 800 should
insurancepublic - Client segments for a wholesale distributor: stable, actionable, and more than the channel label
A food and household-goods distributor wants three to six client segments to set delivery frequency and sales
retailpublic - Flagship: final bookings per departure from booking-curve snapshots
For every departure of the fictional carrier's 19 flights, what will final bookings be when the forecast is
aviationsyntheticreference executed - Route-day passenger backtest and the capacity/price what-if: forecasts are not causal answers
Network planning asks two different questions about the synthetic carrier: (1) how many passengers will each
aviationsyntheticreference executed - Intermittent weekly demand for a gift-ware wholesaler: beating the zero forecast honestly
For each active product of a UK online gift-ware retailer with many wholesale customers, how many units should
e-commercepublic - Coherent store, department and item forecasts with hierarchical reconciliation
Store replenishment needs item-store daily forecasts, category managers need department totals, and finance
retailpublic - Day-ahead quarter-hour load with daily, weekly and annual seasonality
An energy supplier serving a portfolio of business clients must submit tomorrow's 96 quarter-hour volumes by a
energypublic - Next-day hourly bike rentals: which exogenous inputs exist at forecast time
A bike-share operator plans tomorrow's rebalancing trucks and staff shifts at 18:00 today. How many rentals will
logisticspublic - Meal uplift per flight: prediction intervals and a newsvendor quantile from asymmetric costs
Catering must fix the number of meals per flight two days before departure (an assumed lead time). Too few
aviationsyntheticreference executed - Zero-shot time-series foundation models vs strong baselines on post-release monthly data (docs-only)
A labour-market planning unit forecasts monthly unemployment rates by country 1-12 months ahead for budget
public-sectorpublic - Data validation, drift monitoring and a retrain decision for a booking forecast with delayed labels
The daily booking forecast (project-016) feeds fare-class decisions. When inputs or the market change, can a
aviationsyntheticreference executed - Weekly batch forecasting platform for tens of thousands of item-store series
A retailer's replenishment system needs 28-day item-store forecasts every Monday by 05:00 (a hypothetical SLA).
retailpublicreference executed - Real-time call-prioritisation scoring: serving contract, training-serving skew and safe rollout
A bank's outbound team can make a limited number of term-deposit calls per day. A real-time service should score
bankingpublicreference executed - LLM question-answering service: versioned golden set, regression gate and request observability
An internal assistant answers questions from a supplied passage and must say "not answerable" when the passage
cross-industrypublic - Will this flight fill? A from-scratch numpy MLP vs gradient boosting on airline booking snapshots
Twenty-one days before departure, which flight-days will finish at or above 90% load factor, so that the revenue manager can close the lowest fare bucket earlier on them? And does a small neural network add anything…
aviationsyntheticreference executed - Catalogue thumbnails: a small CNN vs pixel baselines on Fashion-MNIST
A (hypothetical) apparel retailer's catalogue team assigns one of ten garment types to every new product image. Can a small convolutional network pre-fill the category accurately enough that staff review only the…
retailpublic - Day-ahead household load: a 1-D CNN or GRU against seasonal naive and lag regression
A (hypothetical) energy retailer piloting demand response needs a day-ahead hourly load forecast for each enrolled household to plan flexibility offers.
energypublic - Few labels, foreign domain: frozen ImageNet features vs a small CNN on EuroSAT land cover
A (hypothetical) property and crop insurer wants to tag land cover around insured locations from satellite tiles to prioritise exposure reviews, but can pay for only a few hundred labelled tiles.
insurancepublic - Same product, different shop: TF-IDF vs sentence embeddings for product matching on Abt-Buy
A price-comparison team must link each product in retailer A's catalogue to the same product in retailer B's catalogue.
e-commercepublic - Routing airline complaints: TF-IDF + logistic regression vs a small neural text classifier
An airline's social-care team wants negative customer tweets routed automatically to the right queue (for example delays, cancellations, baggage, customer service).
aviationpublic - Is it the learning rate or the seed? A repeated-seed ablation of learning rate, weight decay and dropout
A team standardising a small-network template keeps getting conflicting results from single training runs. Which learning-rate and weight-decay settings train a small MLP reliably on a small image-like dataset, and how…
cross-industrybundled-with-libraryreference executed - Debugging a neural training script that runs but does not learn
A (simulated) churn-model training script in a telecom analytics team runs without errors, the loss curve looks plausible, and validation AUC sits near chance.
telecomsyntheticreference executed - Flagship: passenger-rights document Q&A with a retrieval baseline, one controlled improvement and an honest generation mode
An airline customer-care team wants an internal assistant that answers agents' questions about passenger-rights rules (EU Regulation 261/2004, the Commission's 2024 interpretative guidelines, and the US DOT rules in 14…
aviationpublic - Hybrid lexical/latent retrieval and lightweight reranking ablation over the academy's own knowledge base
The academy wants a search box across its glossary, insights and lessons so a learner who types "why did my validation score drop after I scaled the whole dataset" lands on the right explanation.
cross-industrybundled-with-libraryreference executed - Chunking experiment on long technical papers: evidence recall at a fixed context budget
An R&D team wants to ask questions of long technical reports and feed retrieved chunks to a model with a fixed context budget.
cross-industrypublic - Structured extraction from disruption notices: JSON-schema validation, safe repair and injected-instruction detection
An airline operations team wants free-text disruption notices turned into a JSON record (flight, date, airports, disruption type, delay minutes, cause category, whether rebooking was offered) that downstream automation…
aviationsyntheticreference executed - Tool-calling agent vs deterministic workflow for rebooking proposals after a cancellation
After a cancellation, agents need rebooking proposals: later flights on the same route with spare seats. Should the airline build this as a deterministic workflow (parse the ticket, query, rank, draft), as a…
aviationsynthetic - Prompt-injection red-team harness for a product-Q&A assistant, run on safe fixtures
An online retailer's shopping assistant reads product descriptions and customer reviews and can call tools (catalogue search, order status for the signed-in customer, and a coupon tool that needs approval).
e-commercesyntheticreference executed - LLM-as-judge reliability study: agreement with human pairwise labels, position bias and length bias
An evaluation team wants to replace part of its human pairwise review with an LLM judge. Is the judge reliable enough to rank model versions: how often does it agree with expert human preferences, how often does its…
cross-industrypublicreference executed - Golden-set regression suite that gates prompt changes for a claims-intake triage assistant
An insurer's first-notice-of-loss assistant reads a customer's message and returns a triage record (claim type, urgency, documents to request, escalate or not). Prompt engineers change the prompt every few weeks.
insurancesyntheticreference executed - Cost and latency routing study: small model, large model, router and cascade on checkable answers
A team runs a high-volume assistant where many requests are easy and some are hard. Would routing easy requests to a cheaper, faster model and escalating the rest keep accuracy close to always using the large model at a…
cross-industrypublicreference executed - Intent classification for banking support: LLM zero/few-shot vs a TF-IDF baseline on cost, accuracy and failure modes
A bank's support team routes incoming customer messages to 77 fine-grained intents. Is an LLM prompted with the label list (zero- or few-shot) better than a TF-IDF + logistic regression model trained on labelled…
bankingpublic - Summary faithfulness evaluation for legislative bills: human claim labels vs automatic checks
A legislative-tracking team wants machine summaries of US bills for analysts. Analysts accept a shorter summary but not a wrong one.
public-sectorpublic - Similar-ticket search for a software support desk: BM25, TF-IDF, embeddings and hybrid on human-labelled duplicates
A software support desk wants to show agents "similar past tickets" when a new ticket arrives, so known issues are linked instead of re-solved.
saaspublic - LoRA/QLoRA adaptation plan for fine-grained banking intents (implementation-ready, docs-only, GPU optional)
Project-045 compares prompting and a TF-IDF model on BANKING77. Would parameter-efficient fine-tuning of a small open-weight model close the remaining gap on confusable intents at a serving cost the bank can carry?…
bankingpublic - Embedding drift monitoring for a virtual assistant, evaluated on simulated traffic with known injected shifts
A virtual-assistant platform wants an early warning when incoming user requests change - a new topic surging, more out-of-scope requests - before intent accuracy quietly degrades.
cross-industrypublic - PII redaction pipeline evaluation before documents cross an LLM trust boundary
A financial-services team wants to send customer documents to an LLM summariser hosted outside its trust boundary, but only after personal data is redacted.
financepublic