The most comprehensive bank Interview Answer Review tooling available online.

I see myself working at the intersection of engineering and quantitative finance ideally at a hedge fund such as Two Sigma. My past experiences at Harvard Medical School and internships at MITRE/rapStudy have given me an interest in creating scalable systems that are high performant and capable of ingesting large amounts of data for model development and research.  I strongly believe Two Sigma is the perfect place for me to work on these highly technical projects. Additionally, I also look forward to the prospect of entering leadership roles during my career, where I can play a more impactful role in prioritizing cultivation of engineering talent and projects in fields such as low-latency and data engineering.

I'd like to share a personal anecdote about a time when I failed to reach a metric as a Manager in a Data Engineering project.

Metric: Reduce data ingestion latency to under 10 minutes within 3 months to improve real-time analytics capabilities.

Context: Our team was responsible for building a data pipeline that ingested large volumes of data from various sources into a cloud-based data warehouse. The data was then used to power real-time analytics and reporting for our business stakeholders.

Goal: Our goal was to reduce the data ingestion latency to under 10 minutes to ensure that our analytics capabilities were as close to real-time as possible. This would enable our stakeholders to make informed decisions quickly and respond to changing market conditions.

Plan: Our plan was to optimize the data ingestion process by:

Improving the efficiency of our data processing algorithms

Increasing the scalability of our cloud infrastructure

Implementing a more efficient data storage solution

What went wrong: Despite our best efforts, we were unable to meet the metric. We encountered several issues that slowed us down, including:

Underestimating the complexity of the data processing algorithms, which required more development time than anticipated

Difficulty in scaling our cloud infrastructure due to vendor limitations and cost constraints

Unexpected issues with our data storage solution, which required additional debugging and testing

Impact: Missing this metric had a significant impact on our project. Our stakeholders were not able to get the real-time analytics they needed, which delayed their decision-making and affected our business outcomes.

Lessons learned: This experience taught me several valuable lessons, including:

The importance of robust planning and contingency planning to account for unexpected setbacks

The need for more accurate estimation of development time and resources required for complex tasks

The value of prioritizing and focusing on the most critical components of the project to ensure success

Actions taken: To address these issues, we:

Revised our estimates and created a more realistic project plan

Broke down the task into smaller, more manageable components to improve development efficiency

Implemented additional monitoring and testing to ensure that our data ingestion process was stable and performant

By learning from our mistakes and taking corrective actions, we were able to eventually meet the metric and improve our data ingestion latency to under 10 minutes.

Let me start by asking clarfying questions.

Are you asking about which application I like and why do I like it and how can I improve it ?

 I like instagram as it's available on both the platforms like Ios and android.It has features that are related to the latest generation with ease of use in mind.It has privacy features like multi factor authentication,ability to approve or reject a incoming message from a sender who is not in your followers list.Ability to choose who can follow or if you can unfollow them.It also has personal and privacy mode and various features like reels,IG movies etc.

The thing I would like to focus to improve on is reels.Reels is a feature on instgram which is a short version of videos where you can post dance,acting,messages all type of content in a video format.You can create a video of multiple pictures as well by adding audio,effects etc.However as content creation is more in use people find reels to be more time consuming and also has some content that is too young for the kids as kids are more to be prone to mobile devices.There are two pain points one is that reels show lot of various content that is not suitable for kids and also lot of our friends share lot of reels that end up in the inbox unseen like constant spamming your inbox with shared reels.I will focus on pain point no 1 about having reels content that is not suitable for kids.I would think of having like a filter or a toggle button on to say kids content only when the phone is in hands of a kid that would restrict the adult content and I would message the succes by seeing how many users switched on the toggle and would first release it as beta version to set of users and collect feedback by asking how is our new filter.