Machine Engineer

Sagar Sarkale

******@*****.***

+91-942*******

Pune, Satara

EDUCATION Bachelor of Technology (B.Tech), Computer science (2016 - 2020) Dr Babasaheb Ambedkar Technological University, Maharashtra CGPA : 8.51/10

XII (Senior Secondary), Science

Year of Completion: 2016

HSC Board (AUBHS Pune)

Percentage : 72.00%

X (Secondary)

Year of Completion: 2014

CBSE Board (Podar International School Satara)

CGPA : 10.00/10

INTERNSHIPS Machine Learning Research Engineer

Manastu Space (Virtual)

Dec 2018 - Present

Working with Algorithmic Trading using Machine Learning. Machine Learning

Expertshub (Pune)

Jun 2018 - Jun 2018

Various machine learning algorithms hands on experience. Deep learning model implemented using tensorflow API on given project. Link to certificate: https://www.camscanner.com/share/show?encrypt_id=MHgzYzhiNjlmOA==&sid=C8C Web Development

Expertshub (Pune)

Jun 2017 - Jun 2017

Designed Static and Dynamic web pages.

Using Bootstrap, jQuery, Firebase.

Worked with Iot Platform Projects.

POSITIONS OF

RESPONSIBILITY

Conducted hands on Machine Learning workshop at college. Leader of personal project regarding working on all machine learning algorithms (problem specific) for a selected data set. Awarded as best intern by Expertshub for the internship. Project leader during Machine Learning internship by Expertshub Team Leader of Web Development Project in College

TRAININGS Reinforcement Learning

udemy (Online)

Jun 2019 - Present

Course on reinforcement learning algorithms and practises along with practical coding and projects.

Docker Essentials

udemy (Online)

Dec 2018 - Dec 2018

Docker essentials from basics to Docker Swarm.

https://www.udemy.com/certificate/UC-NL6ZRSCT/

Computer Vision

udemy (Online)

Nov 2018 - Present

Course on creating various powerful computer vision tools using opencv, SSD, GANs, and deep learning frameworks such as tensorflow and theano. N.P.T.E.L Introduction To Machine Learning Course

IIT Kharagpur (Online)

Aug 2018 - Oct 2018

Full detailed course on machine learning including both supervised and unsupervised learning machine learning algorithms with practicals. Link to certificate below:

https://nptel.ac.in/noc/E_Certificate/noc18-

cs40/NPTEL18CS40S218601581810018507.jpg

Udemy A-Z Machine Learning

udemy (Online)

Aug 2018 - Jul 2019

Detailed course on Machine learning algorithms also includes deep learning algorithms.

https://www.udemy.com/certificate/UC-X90EFHLY/

Machine Learning

Expertshub (Pune)

Jun 2018 - Jun 2018

Hands on project was done on stock price prediction using Neural Networks, also basic machine learning algorithms were worked out by us during the training.

Android Application Development

Mindspark (Pune)

Sep 2017 - Sep 2017

PROJECTS Stock sentiment analysis

Nov 2018 - Nov 2018

https://github.com/sagxam/my_projects/tree/master/Stock-Sentiment-Keras LSTM model using keras for stock sentiment analysis Iris Classification

Oct 2018 - Oct 2018

https://github.com/sagxam/my_projects/blob/master/iris_classification_knn.ipynb Classification model on iris data set using kNN algorithm. Recognition of handwritten digits

Oct 2018 - Oct 2018

https://github.com/sagxam/my_projects/blob/master/MNIST_final_proj.ipynb Recognition of handwritten digits from MNIST dataset using CNN using google's tensorflow.

Face Recognition

Sep 2018 - Sep 2018

https://github.com/sagxam/my_projects/blob/master/face_recognintion_knn_pca.ipynb Face Recognition model on Olivetti data set. Using kNN algorithm and Principal Component Analysis.

Stock Price Prediction Model

Jun 2018 - Jun 2018

https://github.com/JointProjects/ML-models

Stock price prediction model was built using LSTM and accuracy over 90% was achieved over real time data.

Web Page Development

Aug 2017 - Nov 2017

To create College Department Website.

Stock Sentiment Prediction

Dec 2018 - Present

This project deals with deals with prediction of stock sentiment in real time, it makes use of AWS cloud platform and machine learning to achieve the same.

(Details of this project cannot be shared due to privacy policy) Adverse road condition detection

Jan 2019 - Present

Pothole, unmarked seed breaker detection using mobile sensors, AWS cloud platform and machine learning.

SKILLS C Programming

Intermediate

C++ Programming

Intermediate

Python

Advanced

Data Analytics

Intermediate

Machine Learning

Intermediate

MySQL

Intermediate

Data Structures

Intermediate

User Interface (UI) Development

Beginner

English Proficiency (Spoken)

Intermediate

English Proficiency (Written)

Advanced

PHP

Intermediate

CSS

Intermediate

HTML

Intermediate

Mathematics

Intermediate

ADDITIONAL DETAILS

I have been pursuing MOOC courses : MIT-OCW, Coursera, NPTEL. I have a good understanding of the working of Machine Learning algorithms and can use them to solve real world problems.

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