NeuraPath Journal

Learn the work behind Data, AI & Forward Deployed Engineering

Practical explanations, career decisions and reproducible workflows. Read the reasoning, inspect the evidence and follow the next skill into a real programme.

1305 articlesPage 7 of 109
Forward Deployed EngineeringInterview question banks

System design interview questions for AI applications

System design interviews for AI applications ask experienced engineers to put a large language model inside a production system and keep that system fast, affordable, safe and measurable. Beyond the usual scaling and…

27 Sept 20265 min read
Data AnalyticsCareer switch by background

Supply chain executive to analyst: OTIF and fill rate in SQL

A supply chain or logistics executive moves into analytics by learning to compute the service metrics they already report — OTIF, fill rate, inventory ageing — directly from dispatch, delivery and order-line data in…

27 Sept 20265 min read
Data AnalyticsRoles and job titles explained

Supply chain analyst role: forecasts, stock cover and reorder points

A supply chain analyst uses sales, inventory and order data to help a company keep the right stock in the right place: forecasting demand, measuring forecast accuracy, setting safety stock and reorder points, and…

27 Sept 20264 min read
Data AnalyticsIndustry analytics playbooks

Supplier PPM and defect Pareto: rank problems by what they cost

Supplier PPM is rejected quantity divided by received quantity, multiplied by 1,000,000, and a defect Pareto ranks defect causes so the few that account for most of the loss are fixed first. The analytical choice that…

27 Sept 20265 min read
Data ScienceFreshers and students

Science Academies' summer research fellowship: applying from data

The Summer Research Fellowship Programme (SRFP), run jointly by the Indian Academy of Sciences (Bengaluru), the Indian National Science Academy (New Delhi) and the National Academy of Sciences, India (Prayagraj), places…

27 Sept 20265 min read
Data AnalyticsChoosing and planning your learning

Study plan for six-day retail and BPO shift workers

On a six-day week with rotating shifts, plan study relative to your shift ("the hour after I wake up") rather than to clock times, put the week's one long block on your weekly off, and use recordings for any live class…

27 Sept 20264 min read
Data AnalyticsChoosing and planning your learning

Learning data analytics as a new parent: a nap-sized timetable

As a new parent, plan your study as a menu of tasks sorted by how long they take, not as a fixed timetable, because your free windows arrive unpredictably and rarely last more than 20–40 minutes. Add two longer blocks a…

27 Sept 20264 min read
Data ScienceChoosing and planning your learning

A 10-hours-a-week study timetable for full-time employees

Ten hours a week alongside a full-time job works if you split it into one long weekend block for new material, three short weekday sessions for practice, and one fixed review slot, and if you decide in advance what to…

27 Sept 20264 min read
Data AnalyticsPractical workplace data tasks

Calculate reorder levels and safety stock from issue history in SQL

A reorder level is average daily demand times average lead time, plus a safety stock that covers slower deliveries and busier days. Calculate daily demand from issue or sales history over a calendar that includes days…

27 Sept 20266 min read
Generative AI & Agentic AIAI careers in practice

Staying current in AI without burning out: a 3-hour weekly routine

You can stay current in AI in about three hours a week if you stop trying to follow everything and instead follow a fixed routine: a short scan of a few primary sources, one deeper read tied to your actual work, and one…

27 Sept 20264 min read
Data AnalyticsInterview question banks

Statistics interview questions on p-values and confidence intervals

Statistics rounds for analyst jobs mostly test whether you can interpret a p-value and a confidence interval without the common misreadings, tell standard deviation from standard error, and spot when a "significant"…

27 Sept 20265 min read
Data ScienceRoles and job titles explained

Statistical programmer in pharma: SDTM, ADaM and TLFs explained

A statistical programmer in pharma turns locked clinical trial data into standardised datasets and the tables, listings and figures (TLFs) that go into a clinical study report and a regulatory submission. The work…

27 Sept 20265 min read
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