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.