Resume

Sign in

Data Science

Location:
Bangalore, Karnataka, India
Posted:
March 23, 2019

Contact this candidate

Resume:

SSKILLS KILLS ( TECHNOLOGY /

FUNCTIONAL )

MMachine achine Learning

PPython ython

DDjango jango

LLinux inux

MMySQL ySQL

PPytorch ytorch

TTensor ow ensor ow

FFASTAI ASTAI

SSk-k-Learn

NNumpy umpy

PPandas andas

MMatplotlib atplotlib

CC ++

AArduino rduino

RRaspberry aspberry Pi

PPOSITIONS OSITIONSRESPONSIBILITY OF RESPONSIBILITY Representing Fellowship.AI as Machine

Learning Fellow at Bangalore location.

Conducted Robotics workshop in mentorship

of IIT-Bombay.

Conducted First Coding Completion at BMU.

Core Member of Robotics Club at BMU.

Introduced GeeksForGeeks Chapter at BMU

PPAARRTTIICCIIPPAATTIIOONNSS

Won hackathon competition for building an

Android Application in Apogee - BITS Pilani

Won in maze solver competition with 2nd

rank in JU-rhythm at JECRC Jaipur

Participated in Valeo Innovation Challenge

(Built Prototype for Car automation by

implementing IoT to get the distance of

neighbor obstetricals)

SSIDDHARTH IDDHARTH

Jain

PPhone: hone: +918*********

EEmail: mail: ac8vkc@r.postjobfree.com,ac8vkc@r.postjobfree.com LLinkedin inkedin pro le: https://www.linkedin.com/in/siddharth-jain-857*******/ AAddress: ddress: Zolo Skyfall, 4th Cross Road, Tavarekere, BTM Stage -1, Bangalore 560***-**** – 2014

Aug 2015 – May 2019

Jan 2019 – Apr 2019

Jul 2018 – Dec 2018

Apr 2018 – Jun 2018

SSHORT HORT SUMMARY / INTRODUCTION

Highly motivated Data Science Fellow, eager to learn new things. Strong motivational and leadership skills. Machine Learning, Deep Learning, Computer Vision, NLP Entrepreneurial Enthusiast.

EEDUCATION DUCATION

BBacholar acholar of Technology BML Munjal University, Gurugram 7.79 HHigher igher Secondary Education Nav Jagriti School, Damoh 93% PPROFESSIONAL ROFESSIONAL ENHANCEMENTS

CCourses ourses Deep Learning - Andrew Ng (On Going) Fastai(Part 1,V3) course.

Python for Computer Vision with OpenCV and Deep

Learning

Natural Language Processing with Deep Learning in Python Machine Learning A-ZTM: Hands-On Python & R In Data Science

Python eCommerce Build a Django eCommerce Web

Application

Git Going Fast

EEXPERIENCE XPERIENCE / INTERNSHIP

MMachine achine Learning Fellowship Fellowship.AI

International opportunity to learn and experimental implementation under highly skilled Data Scientist Mentors.

Worked on Multi-label prediction on images with FAST.AI(V3) . Worked on 4 channel images (RGB+Thermal) for more accurate prediction. Worked to develop projection on Plateform.AI .

PPart art Time Machine Learning, IoT Intern TantraByte,Delhi Worked on home automation using Image processing, Machine Learning & IoT. Working vertical forming for smart farming.

Worked on smart lock system with in their product. MMachine achine Learning Intern Drctechnologies Delhi Worked on Email classi cation(Spam/Not-Spam).

Email Tagging based on di erent category(Banking,Education,Insurance,Jobs). Implemented Di erent Classi cation techniques (Naive Bayes, SVM, Logistic regression, Neural Network models)

Internshala Student Partner 6.0 at

Internshala

IINNTTEERREESSTTSS

Reading Motivational, Comics/Graphic

novels.

Playing Cricket.

Listening to Electronic dance music(EDM).

Bike Riding.

Skating

Jun 2018 – Jul 2018

Jun 2017 – Jul 2017

Jan 2018 – Apr 2018

DDelevere elevere Chennai P ython-Django Developer Django web development.

Worked on REST API.

Worked through SSH and Git.

DDjango jango Web, IoT Intern Swaaha waste Management Pvt. Ltd. Indore Implemented IoT to make system Automated.

Data collection using weighing machine.

Data Transfer from Arduino,Raspberry pi to Mobile App using Bluetooth. Store data on Firebase cloud.

Show data on Django by collecting from Firebase.

PPython ython Intern Renata Envirocom Pvt. Ltd. Gurugram Worked on Open Source PyScada (Python Based Scada System). I have studied it and partially Implemented in real time Environment. PPROJECTS ROJECTS

PPlant lant – Disease Classi cation

Developed Deep Learning based Classi cation model to predict disease in various Plants.

Used Constitutional Neural Network (CNN) to predict disease. It's a 2 stage model with plant classi cation and disease classi cation. IImage mage Segmentation & Digital watermarking

Implemented Image segmentation on Berkeley Contour Segmentation Dataset. Performed Image Watermarking Using LSB

TTerrorist errorist Group Predictor

Predicted terrorist group name for an attack whose responsive group is unknown.

Prediction is based on di erent parameters of their past attacks. Scrapped data from di erent websites.

Implemented di erent pre-processing methods to clean data. Used Machine learning Algorithm to predict responsive group from 1334 groups.

CCrop rop Prediction System

Built crop prediction system based on some parameter like -humidity, temperature, soil moisture.

Collected Data using sensor and stored on Google excel sheet. Implemented Multi-Class Decision Tree Classi er to predict live based on collected data-set.

WWeb eb Scaping

Created a web crawler bot using beautiful soup in python. To nd In-links and out-links on an web page.

scrapped data from sub section of speci c sub-domains. WWomen omen Safety Device Using IoT

Designed IoT device with auto trigger panic button which women can use for their safety purpose.

used Arduino Micro-controller, sensors and Built an Android Application. analyzed some parameter like - Heartbeat, Body Temperature and stored. AAutomatic utomatic Catapult

Using Arduino as micro-controller and Processing software and ultrasonic sensor.

It has touch less triggered functionality based on gesture.



Contact this candidate