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Get instant insights and key takeaways from this YouTube video by Apna College.
Goldman Sachs Selection and Interview Process
š Yashika, an ECE branch student, successfully secured an internship at Goldman Sachs, described as a "dream category company."
š The initial hiring process involved four rounds: an online assessment (MCQs on Aptitude, Probability, Permutation, Combination, and coding questions focusing on Time/Space Complexity), followed by three technical/HR interviews.
š» Technical interviews heavily focused on Data Structures and Algorithms (DSA), with specific questions related to Hash Maps (solvable via Deque/Sliding Window) and Trees (including knowledge of Red-Black Trees).
š« There was no strict CGPA or branch criterion for shortlisting, provided candidates had no academic backlogs.
DSA Preparation and Consistency Challenges
š Yashika faced initial difficulties and took a 15-20 day break from DSA preparation due to exams, forcing her to restart from the beginning, which she identified as a major mistake.
š She initially struggled using multiple free online resources for DSA, leading to a lack of satisfaction and slow progress, prompting her to re-invest in a structured course.
šØāš§ Consistency was maintained during her second attempt by having her father check on her progress every two days, preventing her from skipping topics like Graphs.
ā±ļø She spent about six months consistently focusing on DSA, alongside managing her ECE coursework, often studying late at night or waking up early.
Academic Balancing and Project Work
āļø Due to her core branch workload, she slightly lowered the priority of academics (aiming for 8.6+ instead of very high) to dedicate sufficient time to DSA, guided by a senior's advice.
š ļø Her strong point was merging core ECE knowledge with software skills: she converted a basic temperature monitoring system (core project) into an appealing display system using HTML, CSS, and JavaScript (frontend).
š She made sure to cover DBMS/OOPs fundamentals thoroughly, spending about one week for both, as these were present in her curriculum.
š£ļø Key factors for success were DSA mastery, blending core knowledge with web development for projects, and strong communication skills demonstrated during the paper-and-pen style interview.
Key Points & Insights
ā”ļø Re-learning instead of Revising is a pitfall: Avoid taking long breaks that force you to re-watch entire tutorials; focus on revising learned material instead.
ā”ļø Invest in Structured Learning: If time is constrained, consider high-quality, paid resources as a small, long-term investment rather than wasting time jumping between incomplete free resources.
ā”ļø Leverage External Accountability: Use family members (like her father) or peers to monitor consistency when self-discipline wavers, especially when you lack a dedicated tech peer group.
ā”ļø Embrace All Opportunities: Apply for opportunities even if not fully prepared; there is nothing to lose, and it serves as valuable practice or exposure to new question types.
ā”ļø Future-Proofing with AI: Do not drop fundamentals (DSA, skills development) to pursue AI; instead, learn AI as a tool to enhance efficiency in core roles.
šø Video summarized with SummaryTube.com on Dec 11, 2025, 11:01 UTC
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Full video URL: youtube.com/watch?v=Q81YQelRkCs
Duration: 25:15
Get instant insights and key takeaways from this YouTube video by Apna College.
Goldman Sachs Selection and Interview Process
š Yashika, an ECE branch student, successfully secured an internship at Goldman Sachs, described as a "dream category company."
š The initial hiring process involved four rounds: an online assessment (MCQs on Aptitude, Probability, Permutation, Combination, and coding questions focusing on Time/Space Complexity), followed by three technical/HR interviews.
š» Technical interviews heavily focused on Data Structures and Algorithms (DSA), with specific questions related to Hash Maps (solvable via Deque/Sliding Window) and Trees (including knowledge of Red-Black Trees).
š« There was no strict CGPA or branch criterion for shortlisting, provided candidates had no academic backlogs.
DSA Preparation and Consistency Challenges
š Yashika faced initial difficulties and took a 15-20 day break from DSA preparation due to exams, forcing her to restart from the beginning, which she identified as a major mistake.
š She initially struggled using multiple free online resources for DSA, leading to a lack of satisfaction and slow progress, prompting her to re-invest in a structured course.
šØāš§ Consistency was maintained during her second attempt by having her father check on her progress every two days, preventing her from skipping topics like Graphs.
ā±ļø She spent about six months consistently focusing on DSA, alongside managing her ECE coursework, often studying late at night or waking up early.
Academic Balancing and Project Work
āļø Due to her core branch workload, she slightly lowered the priority of academics (aiming for 8.6+ instead of very high) to dedicate sufficient time to DSA, guided by a senior's advice.
š ļø Her strong point was merging core ECE knowledge with software skills: she converted a basic temperature monitoring system (core project) into an appealing display system using HTML, CSS, and JavaScript (frontend).
š She made sure to cover DBMS/OOPs fundamentals thoroughly, spending about one week for both, as these were present in her curriculum.
š£ļø Key factors for success were DSA mastery, blending core knowledge with web development for projects, and strong communication skills demonstrated during the paper-and-pen style interview.
Key Points & Insights
ā”ļø Re-learning instead of Revising is a pitfall: Avoid taking long breaks that force you to re-watch entire tutorials; focus on revising learned material instead.
ā”ļø Invest in Structured Learning: If time is constrained, consider high-quality, paid resources as a small, long-term investment rather than wasting time jumping between incomplete free resources.
ā”ļø Leverage External Accountability: Use family members (like her father) or peers to monitor consistency when self-discipline wavers, especially when you lack a dedicated tech peer group.
ā”ļø Embrace All Opportunities: Apply for opportunities even if not fully prepared; there is nothing to lose, and it serves as valuable practice or exposure to new question types.
ā”ļø Future-Proofing with AI: Do not drop fundamentals (DSA, skills development) to pursue AI; instead, learn AI as a tool to enhance efficiency in core roles.
šø Video summarized with SummaryTube.com on Dec 11, 2025, 11:01 UTC
Find relevant products on Amazon related to this video
As an Amazon Associate, we earn from qualifying purchases

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