Welcome to my LinkedIn profile!I am a Data Science and Analytics graduate with a strong passion for implementing machine learning concepts in real-world settings. My expertise lies in machine learning, exploratory data analysis, and deep learning.One of my accomplishments includes building a mobile app that utilizes transfer learning to classify fresh and rotten fruits. You can check out the app here: [https://drive.google.com/file/d/1tLb__oV2sinmarEvQtNwbGSoJvHsCn2-/view].In addition, I have completed an internship where I built a machine-learning model to classify sleep apnea cases. I am currently pursuing a Master of Data Science to further enhance my skills and knowledge in the field.My ultimate goal is to contribute to the progress of machine learning and make a meaningful impact in the industry. If you are looking for a driven and passionate data science professional, I would love to connect with you.
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Co-FounderEcotracker NepalGeelong, Vic, Au -
Data ScientistFlodata Analytics Jul 2024 - PresentNew Delhi, Delhi, India -
Machine Learning InternKuku Fm Dec 2023 - Mar 2024 -
Data Science InternZep Analytics Jun 2023 - Sep 2023● Implemented LSTM models for Shakespearean text generation with a 90% text coherence score and generated over 10,000lines of coherent Shakespearean text● Conducted EDA on US Cyclistic Bike share data, uncovering critical insights that could potentially lead to a significant 20% increase in annual subscription renewals ● Engineered a "contextual memory" feature for the chatbot, resulting in a 30% increase in average session duration● Contributed to Ensemble Learning for Energy Load forecasting, resulting in a notable 12% enhancement in accuracy compared to prior models● Showcased proficiency in developing the idea of a Mental Health Chatbot sending user queries to LLM like OpenAI GPT3.5-turbo increasing the average session duration by about 80% -
Machine Learning InternManipal Institute Of Technology Jun 2022 - Aug 2022ManipalDuring this internship, I gained hands-on experience in applying Machine Learning to Brain-Computer Interfaces, specifically in processing Brain-Signals received through wearables. I successfully utilized a range of supervised and unsupervised machine learning algorithms to achieve project objectives.The major accomplishment during this internship was developing a machine-learning model that accurately classifies sleep apnea. I conducted extensive testing on multiple algorithms, and the LGBM algorithm emerged as the clear winner with a remarkable accuracy rate of 92.51% and an AUC value of 0.98.
Suyog Khanal Education Details
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Data Science -
9.71
Frequently Asked Questions about Suyog Khanal
What company does Suyog Khanal work for?
Suyog Khanal works for Ecotracker Nepal
What is Suyog Khanal's role at the current company?
Suyog Khanal's current role is Co-Founder.
What schools did Suyog Khanal attend?
Suyog Khanal attended Vellore Institute Of Technology, Sharda University.
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Suyog Khanal
Passionate Engineering Management Student | Automobile Engineering GraduateBrisbane, Qld -
Suyog Khanal
Automobile Engineer | Project Manager | Engineering Management Associate At James Cook UniversityGreater Brisbane Area -
Suyog Khanal
Sydney, Nsw -
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