Machine Learning

SHINDHU MOURYA

Contact no. : +91-882*******

E-mail ID : *************@*****.***

EDUCATION

Bachelor of Technology

(Computer Science)

**** - ****

76.02%

Ambedkar Institute of Advanced

Communication Technologies and

Research (AIACTR), Delhi

GGSIPU

Class XII

2014 - 2015

84.80%

S.M. Arya Public School, Delhi

CBSE

Class X

2012 - 2013

75.00%

St. John’s School,Chandauli (U.P.)

ICSE

PROJECTS

• Stack Overflow Tag Prediction in Machine Learning: The aim of this project is to predict the tags (keywords, topics, summaries), for given question text and its title. The dataset contains content from disparate stack exchange sites, containing a mix of both technical and non- technical questions.

• Malware detection in Machine Learning: The term malware is a contraction of malicious software that was written with the intent of doing harm to data, devices or to people.In this project tens of millions of daily data points are to be analyzed as potential malware and classifying such large amounts of data into 9 classes of malware.

• Personalized cancer diagnosis in Machine Learning: Cancer tumor can have thousands of genetic mutations. But the challenge is distinguishing the mutations that contribute to tumor growth (drivers) from the neutral mutations.In this project I have developed a Machine Learning algorithm which Classify the given genetic variations/mutations based on evidence from text-based clinical literature.

TECHNICAL SKILLS and TRAININGS

• Succesfully completetd Machine Learning course from Applied AI Course

• Python, C Language, Data Structures, Deep Learning

• SQL

POSITIONS OF RESPONSIBILITY

• Currently serving as a Student Coordinator & Adviser of CSE branch for 2016 – 2020 batch.

• Worked as a Coordinator in National Service Scheme(NSS) of AIACTR from year 2016 – 2018 and actively participated in many social activities such as Teaching in Govt. School and many Cleanliness Drives.

DECLARATION

I hereby declare that the details furnished above are true and correct to the best of my knowledge and belief.

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