Jain Ronak Suresh
Mail: ronaktheshinigami@gmail.com
Career Objectives: To be an Computational Researcher and to gain knowledge of mathamathical logic behind Computational Algorithms.
Skills:
Programming language Known: C++, C, Python, Java.
Basic Data Analysis: numpy, pandas, matplotlib, seaborn, Scikit.
Database: DQL, DML.
Frameworks: Django, SFML.
Libraries: STL, Boost, Armadillo, OpenCV.
Projects:
Project Name: Hyperparameter Optimization of a neural network using Genetic Algorithm
Role: Researcher and Developer
Team Size: 1
Project Duration: 7 Months
Project Detail: Final Year MSC Research based project.
Description: Finding ways of faster convergence of neural networks using biologically
inspired genetic algorithms for efficiency in model accuracy and improved
training time.
Project Name: Automated attendance Tracking And Proxy Detection System
Role: Developer And System Designer Team Size: 3
Project Duration: 9 Months
Project Detail: Final year academic project based on Opencv, Raspberry Pi, and RFID card.
Description: Basically an automated attendance system for college using RFID technology
with an anti-scam mechanism using OpenCV as image processing tool and Android as a platform to access students records along with Drupal framework to manage web content
Project Name: OCR using PyTesseract and summarization of content using NLTK
Role: Developer
Team Size: 1
Project Duration: 2 Months
Project Detail: Personal project based on Django, NLTK, Pytesseract.
Description: A Django based web application that takes files in Image, PDF and text
formats from users and extracts the textual content of these files using
OCR (Optical Character Recognition), summarizes the content of files using
NLTK library using Page Rank algorithm and Natural Language Processing
Education:
| Degree/Course | Institute/College | University/Board | Percentage/CGPA | Year of Passing |
|---|---|---|---|---|
| MSc (CS) | Thakur College of Science and Commerce | Mumbai University | 10.0/10.0 | 2022 |
| BSc (IT) | Thakur College of Science and Commerce | Mumbai University | 8.55/10.0 | 2019 |
| HSC (12) | Thakur Vidya Mandir High School And Junior College | Maharashtra State Board Of Secondary And Higher Secondary Education | 62.77% | 2016 |
| SSC (10) | St. Mary's High School | Maharashtra State Board of Secondary and Higher Secondary Education | 72.60% | 2014 |
Jain Ronak Suresh
Specializations.
Python for Everybody (University of Michigan)
Course Date Grade Programming for Everybody (Getting Started with Python) May 14, 2020 100.00% Using Databases with Python June 6, 2020 95.27% Using Python to Access Web Data May 21, 2020 98.06% Python Data Structures May 17, 2020 100.00% Capstone: Retrieving, Processing, and Visualizing Data with Python May 26, 2020 92.31% DeepLearning.AI TensorFlow Developer (deeplearning.ai)
Course Date Grade Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning May 18, 2020 100.00% Convolutional Neural Networks in TensorFlow May 19, 2020 99.38% Natural Language Processing in TensorFlow May 23, 2020 100.00% Sequences, Time Series and Prediction May 23, 2020 100.00% Open Source Software Development, Linux and Git (The Linux Foundation)
Course Date Grade Open Source Software Development Methods June 30, 2020 98.40% Linux for Developers July 7, 2020 98.00% Linux Tools for Developers July 19, 2020 97.50% Using Git for Distributed Development July 25, 2020 100.00% Programming with Google Go (University of California, Irvine)
Course Date Grade Getting Started with Go May 25, 2020 100.00% Functions, Methods, and Interfaces in Go June 2, 2020 98.57% Concurrency in Go June 3, 2020 98.57% An Introduction to Programming the Internet of Things (IOT) (University of California, Irvine)
Course Date Grade The Arduino Platform and C Programming May 30, 2020 96.75% Interfacing with the Raspberry Pi June 8, 2020 99.38% Interfacing with the Arduino June 12, 2020 99.38% The Raspberry Pi Platform and Python Programming for the Raspberry Pi June 1, 2020 99.38% Introduction to the Internet of Things and Embedded Systemd June 5, 2020 98.38% Programming for the Internet of Things Project June 11, 2020 100.00% Accelerated Computer Science Fundamentals (University of Illinois at Urbana-Champaign)
Course Date Grade Object-Oriented Data Structures in C++ May 30, 2020 95.00% Ordered Data Structures July 18, 2020 96.50% Unordered Data Structures July 24, 2020 96.00% Self-Driving Cars (University of Toronto)
Course Date Grade Introduction to Self-Driving Cars June 30, 2020 98.24% State Estimation and Localization for Self-Driving Cars June 23, 2020 93.67% Visual Perception for Self-Driving Cars June 30, 2020 93.73% Motion Planning for Self-Driving Cars July 16, 2020 97.00% Applied Data Science with Python (University of Michigan)
Course Date Grade Introduction to Data Science in Python May 19, 2020 93.33% Applied Machine Learning in Python July 7, 2020 98.46% Applied Social Network Analysis in Python August 11, 2020 100.00% Applied Text Mining in Python August 5, 2020 94.85% Applied Plotting, Charting & Data Representation in Python May 24, 2020 100.00%
All Courses (including specialization courses)
| Course | Institute | Grade |
|---|---|---|
| Matrix Methods | University of Minnesota | 97% |
| Introduction to Blockchain: Evolution and Technology Concepts | Association of International Certified Professional Accountants | 78% |
| Mathematics for Machine Learning: Linear Algebra | Imperial College London | 96% |
| Mathematical Thinking in Computer Science | University of California San Diego, National Research University Higher School of Economics | 100% |
| Combinatorics and Probability | University of California San Diego, National Research University Higher School of Economics | 100% |
| Introduction to Graph Theory | University of California San Diego, National Research University Higher School of Economics | 100% |
| Data Analysis and Representation, Selection and Iteration | University of Colorado System | 95% |
| Algorithms, Data Collection, and Starting to Code | University of Colorado System | 98% |
| Programming Fundamentals | Duke University | 93% |
| Writing, Running, and Fixing Code in C | Duke University | 100% |
| Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications | Intel | 100% |
| Fundamentals of Parallelism on Intel Architecture | Intel | 100% |
| Interactivity with JavaScript | University of Michigan | 98% |
| Introduction to HTML5 | University of Michigan | 97% |
| Web Application Technologies and Django | University of Michigan | 100% |
| Building Web Applications in Django | University of Michigan | 100% |
| Predict Employee Turnover with scikit-learn | Coursera Project Network | 100% |
| Neural Network Visualizer Web App with Python | Coursera Project Network | 100% |
| Support Vector Machines with scikit-learn | Coursera Project Network | 100% |
| Practical Introduction to the Command Line | Coursera Project Network | 87% |
| Introduction to Bash Shell Scripting | Coursera Project Network | 90% |
| Git for Developers Using Github | Coursera Project Network | 100% |
| Introduction to Pointers and Memory Management in C/C++ | Coursera Project Network | 90% |
| Introduction to HTML | Coursera Project Network | 96% |
| Tables and Forms in HTML | Coursera Project Network | 100% |
| Images and Links in HTML | Coursera Project Network | 100% |
| AI For Everyone | DeepLearning.AI | 99% |
| Neural Networks and Deep Learning | DeepLearning.AI | 94% |
| Structuring Machine Learning Projects | DeepLearning.AI | 93% |
| Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | DeepLearning.AI | 97% |
| Programming for Everybody (Getting Started with Python) | University of Michigan | 100% |
| Using Databases with Python | University of Michigan | 95% |
| Using Python to Access Web Data | University of Michigan | 98% |
| Python Data Structures | University of Michigan | 100% |
| Capstone: Retrieving, Processing, and Visualizing Data with Python | University of Michigan | 92% |
| Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | DeepLearning.AI | 100% |
| Convolutional Neural Networks in TensorFlow | DeepLearning.AI | 99% |
| Natural Language Processing in TensorFlow | DeepLearning.AI | 100% |
| Sequences, Time Series and Prediction | DeepLearning.AI | 100% |
| Open Source Software Development Methods | The Linux Foundation | 98% |
| Linux for Developers | The Linux Foundation | 98% |
| Linux Tools for Developers | The Linux Foundation | 98% |
| Using Git for Distributed Development | The Linux Foundation | 100% |
| Getting Started with Go | University of California, Irvine | 100% |
| Functions, Methods, and Interfaces in Go | University of California, Irvine | 99% |
| Concurrency in Go | University of California, Irvine | 99% |
| The Arduino Platform and C Programming | University of California, Irvine | 97% |
| Interfacing with the Raspberry Pi | University of California, Irvine | 99% |
| Interfacing with the Arduino | University of California, Irvine | 99% |
| The Raspberry Pi Platform and Python Programming for the Raspberry Pi | University of California, Irvine | 99% |
| Introduction to the Internet of Things and Embedded Systems | University of California, Irvine | 98% |
| Programming for the Internet of Things Project | University of California, Irvine | 100% |
| Object-Oriented Data Structures in C++ | University of Illinois at Urbana-Champaign | 95% |
| Ordered Data Structures | University of Illinois at Urbana-Champaign | 97% |
| Unordered Data Structures | University of Illinois at Urbana-Champaign | 96% |
| Introduction to Self-Driving Cars | University of Toronto | 98% |
| State Estimation and Localization for Self-Driving Cars | University of Toronto | 94% |
| Visual Perception for Self-Driving Cars | University of Toronto | 94% |
| Motion Planning for Self-Driving Cars | University of Toronto | 97% |
| Introduction to Data Science in Python | University of Michigan | 93% |
| Applied Machine Learning in Python | University of Michigan | 98% |
| Applied Social Network Analysis in Python | University of Michigan | 100% |
| Applied Text Mining in Python | University of Michigan | 95% |
| Applied Plotting, Charting & Data Representation in Python | University of Michigan | 100% |
Specializations
| Course | Date | Certificate No |
|---|---|---|
| C++ Best Practices for Developers | 07/2020 | A45A09B4005548278351DB3F9D4F315B |
| C++ Design Patterns: Creational | 07/2020 | 5789933AF4BB41D78EF07618B9996A56 |
| Introducing Functional Programming in C++ | 07/2020 | DE3EAF3449664287B6CF2972F60CD973 |
| Learning C++ | 07/2020 | 6FA6D171658C4D168CF35277A401A3F4 |
| Nail Your C++ Interview | 07/2020 | CB068AC5AFA045B2A62402A6A02F9A96 |
| Web Servers and APIs using C++ | 07/2020 | 4F7B89730C084B5BBBB6853C86312939 |
| Building a Personal Portfolio with Django | 07/2020 | 7D68004EB9C04B2EB7FF06C66F38F277 |
| Deploying Django Apps: Make Your Site GoLive | 07/2020 | E5166ECCF88640B5B9466B199B99BD19 |
| Learning Django | 07/2020 | 945035300853472DB7A3A573632A9012 |
LinkedIn: www.linkedin.com/in/ronaktheshinigami
Twitter: https://twitter.com/ronakisdead
Instagram: www.instagram.com/ronaktheshinigami/
Email: ronaktheshinigami@gmail.com