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1. instead of listing "online courses", i'd list tech stack that i know how to use, something like "development tool", AWS/AZURE/KUBERNETES...
2. "Mobile ads click-through rate (CTR) analysis" think of something 高大上,like “youtube ad click through rate prediction model”
2.1. "machine learning workflow" .. we usually call it pipeline..
2.2. "records", what records? be specific, youtube records? youtube mobile app records?
2.3. "important click-through features", how many out of how many? how did you define important? you need to show it.. 1point 3acres
3." Telecom customer attrition prediction with machine learning". yeah we know it's about machine learning, why dont put model name on it instead of "machine learning". and, what telecom customer? AT&T customer?
3.1. if you only used simple models and did not tune it a lot, i'd rather not put it on resume.
3.2. again "important factors", wtf is important factors? again, this looks very weak, i'd not put on resume.
4. "Text document clustering and topic modeling" what model did you use? you can specify that in the title. again, which domain? "IMDB movie"?
4.1. “word stemming and tokenization” dude what did you use to stem and tokenize words? .
4.2. if you did nlp stuff, did you not use TF-IDF / Bag of words or any other better methods? just PCA?
4.3. where the f is the metric for this project?
5. "Recommendation systems with Apache Spark" recommendation system for what??? give it a name!
5.1. how big is Yelp data? .--
5.2. what exactly did you recommend?
6. "Long Short-Term Memory (LSTM) network in stock market modeling" => S&P stock price prediction model with LSTM
6.1. wtf you wrote LSTM in title and you don't mention it at all in project? you only mentioned tf and RNN?..... at least say your baseline model and your improved model, and how your metric boosted...
GAAAAH all the weak projects...
of all the 6 project, i'd only pick 4. Then, 1. do more in-depth work with the project itself, like deeper models (e.g. for 4, i'd at least try using NER, or even go deeper to BERT, that's where nlp is heading...). 2. elaborate more. write more stuff.. Waral dи,
OHHHH and you have work experience.....--
why don't you put them at front/top to show you have "industry-level" experience writing machine learning projects? elaborate them!
1. at least you did reinforcement learning right? elaborate on that! . 1point3acres
2. "Ph.D. Research at xxxx - xxxxx, XXX", i'd put things with machine learning on first line, and elaborate specific work done there, model used, etc. everything else is not important at all.
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