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Portcast Interview Preparation

Medium-Hard

Supply Chain / Predictive Analytics · India

280+ questions4 rounds5 expert tipshttps://www.portcast.ai

About Portcast

Portcast builds predictive supply chain analytics, helping shippers, manufacturers and logistics service providers turn data into decisions and decisions into action. Its models forecast container arrival times, port congestion and demand patterns using a combination of carrier data, vessel tracking, weather and historical performance — a genuinely hard prediction problem, because the ground truth is a physical global system with weather, labour and geopolitical shocks in it. The value to customers is concrete: knowing a shipment will be five days late while there is still time to react is worth considerably more than knowing it afterwards. The company works with an industry at what it describes as a critical inflection point, as logistics moves from spreadsheets and phone calls to data-driven planning. Portcast is headquartered in Singapore and operates with a small, technically dense team, which means analysts and engineers see the whole pipeline from raw data to customer-facing prediction rather than one slice of it. For an early-career data analyst, the appeal is working on forecasting problems where the data is messy, the domain is real and the output is used operationally.

Interview Rounds4

1
Online Assessment60–90 min

2–3 DSA coding problems on HackerRank, CodeSignal, or company platform

2
Technical Interview I45–60 min

Data structures & algorithms — arrays, trees, graphs, dynamic programming

3
Technical Interview II45–60 min

System design or low-level design — scalability, APIs, databases

4
HR / Culture Round30 min

Career goals, teamwork, strengths/weaknesses, role expectations

Practice Questions10

Key Topics

  • Data Structures & Algorithms150q
  • System Design50q
  • Object-Oriented Design40q
  • SQL & Databases25q
  • CS Fundamentals (OS, Networking)25q

Expert Tips

  • Practice LeetCode easy and medium problems before the OA — focus on arrays, strings, trees, and graphs.
  • For system design, use the RESHADED framework: Requirements, Estimation, Storage, High-level design, APIs, Detailed design, Evaluation.
  • Prepare 3–4 STAR stories covering: a challenge you solved, a time you worked in a team, a project you owned end-to-end.
  • After every coding solution, proactively state the time and space complexity — interviewers expect it.
  • Study common CS fundamentals: process vs thread, TCP vs UDP, REST vs GraphQL, SQL indexing, CAP theorem.