Python
Resume:
Ravindra Marwadi
adc9ac@r.postjobfree.com
January 05, 1995
GitHub
LinkedIn Pune, Maharashtra
Master of Technology - Mechatronics Graduated, July 2019 College of Engineering, Pune (COEP) Marks 8.01 CGPA Pune, Maharashtra Division 1
Bachelor of Engineering – Mechanical Graduated, July 2016 Pravara Rural Engineering College, Loni Marks 58%
Savitribai Phule Pune University Division 2
Ahmednagar, Maharashtra
10+2 Graduated, July 2004
Swami Muktanand Jr. College, Yeola Marks 54.67%
HSC Board Division 2
Nashik, Maharashtra
October 2019 – Current
Autonomous Vehicle Simulation Engineer
MSC Software India Pvt LTD
Pune, India
C++ API coding on Vires Virtual Test Drive(VTD) Software, application Developement, Scenario Design on ROD, Adams Controls, Python Programming.
Application of YOLO algorithm to detect Vehicles, Pedestrian, etc. for AV’s in VTD environment. October 2018 – June 2019
Intern in Advance Engineering Department
HELLA India Automotive Pvt. Ltd
Pune, India
Topic: Analysis of tire pressure variation in two-wheeler with the aid of wheel speed sensor. Role: Owns complete technical responsibilities of the project, taking follow-up of the team members, Development of Data logger, Data Collection, Carrying out Data Analysis on MATLAB and Python. Research Paper was published in Society of Automotive Engineers (SAE) in Second Year of my Master’s Degree and also as part of one year(nearly) internship in HELLA India Pvt Ltd. Education
About Me
Experience
Project Title: Case study of Human activity Recognition Dataset in Python Libraries: Numpy, Pandas, Matlplotlib, Seaborn, Scikit-learn, Keras. This project is to build a model that predicts the human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing or Laying. The Dataset is collected from 30 people with mobile on their waists. Sensors in Mobile phone are used to collect the Data. The Case study and code is there on my GitHubProfile . Project Title: Case Study on Netflix Movie Recommendation System (RS) in Python. Libraries: Numpy, Pandas, Matlplotlib, Seaborn, Scikit-learn, Surprise, xgBoost . Netflix is all about connecting People to the movies they love. They developed world class RS: CinematchSM to do the Job. The Goal is to predict the rating a user may give in future depending upon his previous likings based on various factors and to minimize the RMSE and MAPE. The code snippets for this case can be found on my GitHubProfile. Project Title: Case Study on Quora Question Pair Similarity in Python and MySQL Librabries: : Numpy, Pandas, Matlplotlib, Seaborn, Scikit-learn, BeautifulSoup, Nltk, Sqlite3. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. Multiple questions with the same intent can cause seekers to spend more time. So to reduce this time it has to be taken appropriate action.
It is a binary classification problem, for a given pair of questions we need to predict if they are duplicate or not. The case study and code is on GitHub.
Project Title: Case Study on Personalized Cancer Diagnosis in Python Libraries: Numpy, Pandas, Matlplotlib, Seaborn, Scikit-learn. Classify the given genetic variations/mutations based on evidence from text-based clinical literature. Predict the probability of each data-point belonging to each of the nine classes. The Aim is to have high interpretability, Low Multi Class Log-Loss, No Latency Constraints. Code on GitHubProfile Project Title: Custom Implementation of SGD algorithm for log loss. Language: Python.
Description:
Stochastic Gradient descent algorithm development for log loss to learn the weights associated to our data.
SGD is done over a binary classification problem to better understand the concept underlying the neural network.
Project Title: Periodic Process Logger with Auto Scheduled Log Report Facility in Python Description:
This project automates process log activity.
In this project we create log file with the current time and store information about all running Processes as its name, PID, memory usage, thread count number of child process.
This automation script executes periodically depends on the time specified by the user using scheduler of python.
After periodic execution it sends the log file to the specified email address. Projects Major and Mini
COEP Hyperloop Braking Subsystem leader.
Participated in BAJA SAE INDIA 2015, organized by SAE INDIA.
Participated in BAJA SAE INDIA 2014, organized by SAE INDIA.
Participated in an event RIGHT TURN of MindSpark 2K17 competition in COEP.
Participated in World Skill competition for Mechatronics 2018.
Attended the workshop of ROBOTICS held in PREC LONI and secured 2nd prize.
Secured 1st prize in Pravara Premier League in Badminton and was the team captain for consecutive three years.
GATE qualified with 48.04/100 marks and 512/1000 Gate score in the year 2017.
Modelling software: CATIA, FUSION 360.
MATLAB: Power Electronics Circuit simulation, Scripting.
Computer Language: C++, Embedded C, Python, MySQL.
MS Office: Excel, PowerPoint, Word.
English: Business Proficiency
Hindi
Marathi(Mother Tongue)
Data Analysis.
Machine Learning and Deep Learning.
Natural Language Processing.
Software Development.
Marital Status: Single Nationality: Indian
Gender: Male
Declaration
I, Ravindra D. Marwadi, hereby declare that the information contained herein is true and correct to the best of my knowledge and belief.
Ravindra Dattatray Marwadi Pune, Maharashtra
,, 2020
Curricular and Co-curricular
Activities
Technical Skills
Languages
Area of Interests
Personal Details
Scholarships/Awards/Achievements:
Contact this candidate