American Express - Hinglish guide

American Express interview questions - Hinglish guide

American Express ke analyst roles mein SQL, Python, probability aur guesstimates ka mix report hua hai. Yahan har tarah ke sawaal ki taiyari hai.

Bhasha:EnglishHinglish

American Express ke baare mein

American Express payments, credit cards aur financial services ki global company hai. India mein freshers aksar analytics aur data science roles mein aate hain - jaise credit risk, fraud aur decision science teams.

Is guide mein American Express interview questions in Hindi (Hinglish) hain - 13 sawaal, har ek ke saath interviewer kya check karta hai aur kaise answer karein. Saath mein American Express interview process round-wise, freshers ke liye 7 din ka taiyari plan, tips aur galtiyan jo nahi karni.

American Express ka hiring process

  1. Step 1: Coding / online test

    Coding ya aptitude aur SQL ka test.

  2. Step 2: Technical interviews

    Python, SQL, pandas, guesstimates, probability, puzzles - data science roles mein ML ke sawaal.

  3. Step 3: Resume aur HR

    Projects aur fit.

American Express apna fresher hiring process detail mein publish nahi karta (humare check ke time par). Yeh jaankari candidates ke reports par based hai aur role, sheher aur drive ke hisaab se badalti hai - apply karne se pehle official job posting zaroor padhein.

Sources (checked 16 October 2026): American Express Careers. Hiring process badalta rehta hai - apply karne se pehle official notice zaroor padhein.

American Express interview questions aur answers

SQL aur Python

  1. 1.SQL: har customer ka mahine-wise kul kharch.

    Interviewer kya check kar raha hai
    Analytics ka roz ka kaam.
    Kaise answer karein
    GROUP BY customer_id aur month (date se nikaal kar), SUM(amount). Phir ORDER BY.

  2. 2.pandas mein groupby kaise use karte ho?

    Interviewer kya check kar raha hai
    Python data handling.
    Kaise answer karein
    df.groupby('city')['amount'].sum() - group, column chuno, aggregate karo. Kai aggregates ke liye .agg().

  3. 3.Missing values ka kya karoge?

    Interviewer kya check kar raha hai
    Data cleaning.
    Kaise answer karein
    Pehle samjho kyun missing hain; phir hatao, ya median/mode se bharo, ya alag category - data aur use ke hisaab se.

Probability, guesstimates aur puzzles

  1. 4.Ek deck se do cards nikaale (bina wapas daale). Dono ace hone ki probability?

    Interviewer kya check kar raha hai
    Probability - campus reports mein aaya.
    Kaise answer karein
    4/52 × 3/51 = 1/221. Steps bolte hue solve karo.

  2. 5.Guesstimate: Bengaluru mein kitne credit cards active hain?

    Interviewer kya check kar raha hai
    Structured soch.
    Kaise answer karein
    Population → kaam karne wali adult population → kitne % ke paas card → average cards per vyakti. Har assumption bolo.

  3. 6.Puzzle: 8 balls, ek bhaari - taraju par kam se kam kitni baar tolna?

    Interviewer kya check kar raha hai
    Logical soch.
    Kaise answer karein
    Do baar: 3-3 tolo; barabar to baaki 2 mein se 1 tol; nahi to bhaari wale 3 mein se 1-1 tol.

Data science (DS roles)

  1. 7.Overfitting kya hai aur kaise rokein?

    Interviewer kya check kar raha hai
    ML basics.
    Kaise answer karein
    Model training data ratta maar leta hai, naye data par kharab. Rokne ke liye: zyada data, simple model, regularization, cross-validation.

  2. 8.Fraud detection mein precision aur recall mein kaun zyada zaroori?

    Interviewer kya check kar raha hai
    Business soch ke saath metrics.
    Kaise answer karein
    Aksar recall (zyada fraud pakadna), par bahut false alarms customers ko pareshaan karte hain - dono ka balance aur cost par baat karo.

  3. 9.Ek analytics project jo aapne kiya - kya insight mila?

    Interviewer kya check kar raha hai
    Resume deep dive.
    Kaise answer karein
    Data, approach, insight aur uska asar - number ke saath.

Aur sawaal

  1. 10.SQL mein window function aur GROUP BY mein kya fark hai?

    Interviewer kya check kar raha hai
    SQL gehrai.
    Kaise answer karein
    GROUP BY rows ko ek mein milata hai; window function har row rakhta hai aur saath mein aggregate (jaise running total) jodta hai.

  2. 11.A/B test kaise design karoge?

    Interviewer kya check kar raha hai
    Analytics.
    Kaise answer karein
    Do groups random baanto, ek metric tay karo, sample size socho, aur result ka statistical significance check karo.

  3. 12.Logistic regression kab use karte hain?

    Interviewer kya check kar raha hai
    ML basics (DS roles).
    Kaise answer karein
    Haan/na jaise outcomes ke liye (fraud hai ya nahi) - probability deta hai.

  4. 13.Credit risk ka simple matlab?

    Interviewer kya check kar raha hai
    Domain samajh.
    Kaise answer karein
    Customer udhaar wapas na kare uska khatra - income, pichhla record aur kharch ke patterns se aanka jaata hai.

American Express interview ke liye 7 din ka taiyari plan

  1. Din 1: SQL - joins, GROUP BY, window functions.
  2. Din 2: pandas - cleaning, groupby, merge.
  3. Din 3: Probability - 10 sawaal.
  4. Din 4: Guesstimates - 3 practice, zor se bolkar.
  5. Din 5: Puzzles - 5 classic.
  6. Din 6: ML basics aur project (DS roles).
  7. Din 7: Mock interview.

Taiyari ke tips

  • SQL ki roz practice - GROUP BY, joins, window functions.
  • Probability ke basics aur guesstimates ka structure.
  • Python pandas mein data cleaning aur groupby.
  • DS role ho to ML basics aur metrics.

Ye galtiyan mat karna

  • Guesstimate mein assumptions na bolna.
  • Probability mein 'with/without replacement' ka fark bhoolna.
  • Metrics ko business se na jodna.

Aksar poochhe jaane wale sawaal

American Express analyst interview mein kya poochha jaata hai?

Commonly SQL, Python/pandas, probability, guesstimates aur puzzles; DS roles mein ML.

Kya coding test hota hai?

Kai reports mein coding ya online test pehla step hai.

Freshers ke liye kaunse roles hain?

Commonly analytics aur data science roles - jaise credit risk, fraud aur decision science.

American Express ka process kitna lamba hai?

Kuch reports mein lagbhag do hafte - role ke hisaab se.

Isi tarah ki companies - Finance aur investment banks

Aur company guides

Aage padhein

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American Express interview ki taiyari ho gayi?

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