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Systems Engineer at Taro CommunityPosted September 30, 2023

What should I add in my experience section in my resume?

I have been part of an MNC for last three years. During this time I have been part of four different projects. I have added following points in my resume for those three projects. Data Scientist (Apr 2022 - Mar 2023) Analyzed data from various sources to identify issues impacting growth and profitability across product and service offerings. Utilized a variety of tools and technologies to conduct data analysis and visualization. Recommended solutions to address complex business problems based on findings from data analysis. Tech Stack: Python, Pandas, PySpark, Databricks, NumPy, SQL, Excel SAP BW Analyst (July 2021 - Apr 2022) Created custom reports and flowcharts to present the raw data to clients in an easily digestible format. Utilized innovative methods to increase efficiency and decrease run times for all reports by over 15%. Network Associate (Nov 2020 - June 2021) Monitored network capacity and performance to diagnose and resolve complex network problems. Successfully resolved over 500 complex network issues, resulting in a 95% customer satisfaction rating. For the last six months, I have been part of a Django development project as a backend developer, in which I could not get any work because the use case we are supposed to work on has not been finalized yet. I am actively looking for a job switch, looking for an entry level SWE or Data role and could not think about what should I write in the experience for the last 6 months.

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Data Engineer at Financial CompanyPosted August 10, 2023

Learning new Tools for Interviews?

I'm a Data Engineer. Within the data engineering realm, there are a lot of tools, just like in the software engineering realm. The modern data stack is pretty popular these days. It includes things like Spark for ETL at scale, Docker for virtualized environments, Airflow for orchestration, dbt (data build tool) for transformations in SQL, Fivetran for automated data connectors, Snowflake for data warehousing, and more. I'm far from knowing all of these tools well, primarily because I use very few of them in my day job. The main reason I want to change jobs is because of this. I'm worried I'm caught in a catch-22 situation where I don't know the tools so I can't get jobs that have them, which I guess is similar to the new-grad cold start problem. My question is, how should I think about learning new tools for job interviews? My current instinct is to learn via failure. That is, I have almost all of the above tools on my resume. If someone asks me about them and I'm not able to give a good answer, I will learn that part about the tool so if I'm in the same situation I can answer properly. Another approach I can think of is to do Udemy courses of them so I have a deeper understanding of how they work. I've learned to be wary of course not tied to projects, though, so I'm hesitant. I guess I could do projects to learn more about them, but those take time and right now I'm focused on applying to jobs. I imagine some answers might focus on what my current problem is: can I get interviews or am I failing interviews? I don't think my issue is with failing interviews right now, and certainly not because of specific knowledge people have called me out for for not knowing these tools. I think my issue is more with sourcing interviews currently. If there's general advice regarding how to think about prepping for an interview when you only have some of the requirements on the Job Description, would love to hear that too. Thanks!

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Software Engineering Intern at Taro Community profile pic
Software Engineering Intern at Taro CommunityPosted November 15, 2024

What do post-grad job prospects look like?

I did a postmortem on my job search for a new grad 2025 role. As part of this effort, I compiled statistics on my job search. Specifically, how many resume screens I passed (call it the pass rate). More details can be found in the comment section. My pass rate is around 7%, but a large part of it is from quant, and I think the fact that I interned at a small quant firm this summer skewed it. Putting all quant interviews, my rate is more like 5.8% on average. I ended up with 2 offers from high-growth unicorns. My first question is: Is a 5.8% pass rate good for a new grad? I’m wary of posting my resume online, but I’m happy to share it with Alex and Rahul and a few others privately if it makes things easier. The only things really noteworthy are T5 MS and T10 BS. Rahul and Alex both mention that jobs aren’t one-way doors, but I feel that these stats reveal how difficult mobility is, thus jobs are becoming more like one-way doors with little to no exits, especially if you don’t have brands. From this experience, I worry that in the future, it’ll take months of prep and applying to only get a minuscule chance at moving to a better opportunity. I’m excited to be working at a unicorn, but I’m also worried about when I leave, it’ll be hard for me to find something better down the line. It’s unfortunate that I graduated in a tough market, but I’m grateful that I got a decent job. How do position myself to have as many options as possible when I inevitably leave my first job?

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5 Comments