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Kishan Kanhaiya  
Delhi | India

Data Scientist at Aptara

About

• On the professional front, an experienced Analytics Professional adept at deploying ML/DL framework and optimizing basic/convolutional neural networks, with demonstrated expertise in NLP, unsupervised learning and predictive analytics to execute projects • I am also a freelance Web-Developer and love teaching Python programming in my spare time.
Experience

Skills

Data Science and AICoding / ProgrammingMicrosoft Office SuiteAnalytical SkillsBusiness AnalyticsTeam Player / Team Management
Education

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Netaji Subhas Institute of Technology, DelhiBachelor of Technology (B.Tech), Computer Science2016
Accomplishments

Projects
RL-Quadcopter-2  
Completion Date : Dec 2018
Designed an agent to fly a quadcopter, and then trained it using a reinforcement learning algorithm. * This project was part of Machine Learning - Advanced Nanodegree program at Udacity
Dog-Breed-Classifier  
Completion Date : Oct 2018
Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed. * This project was part of Machine Learning - Advanced Nanodegree program at Udacity
Holistic View of Feedbacks!  
Completion Date : Jul 2018
Mentored summer trainees to develop business solutions related to Customer experience by applying Machine Learning and Natural Language Processing.
Finding Donor  
Completion Date : Jul 2018
* Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency. * This project was part of the Machine Learning - Basic Nanodegree program at Udacity.
Customer Segments  
Completion Date : Jul 2018
* Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis. * This project was part of Machine Learning - Basics Nanodegree program at Udacity.
Publications
CRACKED CRICKET PITCH ANALYSIS (CCPA) USING IMAGE PROCESSING AND MACHINE LEARNING  
Publication Date : Jul 2019
Languages

EnglishHindi
About

• On the professional front, an experienced Analytics Professional adept at deploying ML/DL framework and optimizing basic/convolutional neural networks, with demonstrated expertise in NLP, unsupervised learning and predictive analytics to execute projects • I am also a freelance Web-Developer and love teaching Python programming in my spare time.

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