Yaswanth Palaghat
Manager - SEO at Plug Power
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolYaswanth Palaghat is a digital marketing leader and Manager - SEO with ~8 years of experience and a technical foundation in computer science that enables him to bridge engineering and marketing teams. He specializes in SEO, content strategy, paid media, market research and analytics, having managed significant budgets and driven growth at companies like Plug Power and OvalEdge. A prolific creator and educator, he has authored eight books, amassed 200k+ Udemy students, trained over 15,000 people (including a single session of 10k+ attendees), and produces career- and tech-focused video content on YouTube and Instagram. He combines hands-on marketing execution with data-driven dashboards and HubSpot-driven CRM workflows to improve lead generation and brand discovery. Comfortable on stage and in media, he’s spoken at G20’s Y20 event and featured across TV and podcasts, reflecting a talent for translating complex topics into accessible learning. His background as a former software engineer gives him a rare advantage in managing technical marketing implementations and cross-functional projects.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at Narayana Engineering College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (32)
image-recognition9
flask8
internet8
lstm8
test-project8
language-processing8
digit8
displays7
friend7
natural-language-processing7
computer-vision7
deep-learning6
machine-learning6
artificial-intelligence6
tensorflow5
Programming languages (6)
Github contributions (5)
yaswanthpalaghat/Automatic-Image-Captioning-using-CNN-LSTM-deep-neural-networks-and-flask
Apr 2019 - Oct 2020
Image caption generation has emerged as a challenging and important research area following ad-vances in statistical language modelling and image recognition. The generation of captions from images has various practical benefits, ranging from aiding the visually impaired, to enabling the automatic and cost-saving labelling of the millions of images uploaded to the Internet every day. The field also brings together state-of-the-art models in Natural Language Processing and Computer Vision, two of the major fields in Artificial Intelligence. In this model, we has used CNN and LSTM to generate captions for the images and deployed our model using Flask.
Contributions:16 commits, 15 pushes, 2 branches in 1 year 6 months
image-recognitionlanguage-processingflaskchallengingday
yaswanthpalaghat/testproject
Dec 2020 - Jan 2024
It is a test project
Contributions:9 PRs, 11 pushes, 3 branches in 3 years 1 month
testingjavatest-projectdocker
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