Vishal Subedi

https://ada4tz@r.postjobfree.com

EDUCATION

BIT Mesra

IMSc in Mathematics and

Computing

July 2015 - Present Ranchi

Cum. GPA: 7.63

DAV Bistupur

12th - CBSE 89.2 percent

March 2015 Jamshedpur

DPS Jamshedpur

10th - CBSE 10 CGPA

May 2013 Jamshedpur

LINKS

Github: https://github.com-

vishal-subedi

LinkedIn:

https://linkedin.com/in/

vishal-subedi-

0048b3157/

COURSEWORK

GRADUATE

• Artificial Neural

Network and Fuzzy

logic

• Stochastic processes

and simulation

• Probability Theory

• Statistical

Inference

• Computer

Networks

• Machine learning

• Data Analytics

SKILLS

PROGRAMMING

Advanced:

• Python

Familiar:

•R • C++ •Latex •MySQL

PROJECTS

IMAGE RECOGNITION CLASSIFICATION OF CATS AND DOGS IMAGES

• Trained a CNN network using Lenet Arcitecture for the classification of cats and dogs images. Gave a pretty good accuracy of 80% on cpu. SPEECH RECOGNITION MADE A PROTOTYPE FOR JARVIS

• Developed a speech recognition module that can detect the speech and do some basic operations like searching Wikipedia, opening browser and some other stuffs. Used sapi5 api of Microsoft for the voice modulation, google speech recognition module for python and text to speech pyttsx3 module in python for converting text to speech.

TIME SERIES ANALYSIS STOCK ANALYSIS AND FORECASTING USING TIME SERIES

• Analysed various stocks using ARIMA time series modelling in python. The metric used was rmse. Data was collected from yahoo finance server.

SENTIMENT ANALYSIS DISEASE ANALYSIS USING TWEEPY

• Worked on classification of 5 types of diseases viz Malaria, Dengue, Typhoid, Tuberculosis and Cancer by analyzing sentiment from the tweets by streaming live tweets via tweepy api. Gave a pretty decent accuracy of 48 %. Metric used was F1-macro score.

NLP PARTS OF SPEECH TAGGER

• Successfully implemented the parts of speech tagger using python from scratch without using the nltk pos tagger module.

EXPERIENCE

23rd JUN 2018 – 20TH JULY 2018 SUMMER SCHOOL OF ALL INDIA STOCHASTIC PROCESSES

• Attended the school of stochastic processes organized jointly by IIT Bombay and TIFR Mumbai at NISER Bhubaneswar. Studied Probability theory, various stochastic processes and Complex analysis.

16th MAY 2019 – 10TH JULY 2019 SUMMER FELLOWSHIP UNDER INDIAN ACADEMY OF SCIENCES AT SASTRA UNIVERSITY

• Worked on the field of Non-linear dynamics under the guidance of Dr. V.K. Chandasekar. Analysed the Stuart Landau model oscillators on the basis of various statistical properties like mean field and dispersion. Manuscript for the proposed work is currently in progress.

PARTICIPATED CONTESTS

2018 top 8/150 -> ISI Stat Wars

2019 150th/500 -> Société Genral ML hiring challenge 2019 in top 25 teams -> Applied AI contest organized by IISc 2019 480th/10000(82% accuracy) -> ZS machine learning challenge ONLINE COURSES

Udemy -> Business Analytics

Udemy -> Machine Learning A-z

Coursera -> Time Series Analysis

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