This resume contains details about my education, work, skills and accomplishments.

1. VENKATESH PRASAD RAMANI
https://prasa-dd-vp.github.io/portfolio/ | prasadd.venkatesh@gmail.com | https://github.com/prasa-dd-vp
EDUCATION
Anna University, Chennai, India June 2015 – April 2019
Bachelor of Engineering in Computer Science and Engineering GPA 8.67/10
Sai Matriculation Higher Secondary School, Chennai, India June 2013 – March 2015
XII Percentage 94.8%
X Percentage 98.2%
WORK EXPERIENCE
Zoho Corporation, Chennai, India
Designation: Member Technical Staff May 2019 - Present
- Currently working on enhancing the dictionary and AI-powered writing assistant Zia in the online word-processor Writer.
- Developed a browser add-on for Proofing, which delivers the spell, grammar and writing style suggestions in real-time.
Designation: Project Trainee December 2018 – April 2019
- Developed a feature in Java to report false positive suggestions for user content and added functionalities to store the entry
in the Redis server to add to the dictionary in the online word processor Writer.
Designation: Incubation Trainee August 2018 – September 2018
- Developed markdown editor to support rich text in the Comments section and worked on diff-match-patch to keep track of
the changes in the online word processor Writer.
Mahindra Research Valley, Chennai, India
Designation: Research Intern June 2018 – July 2018
- Developed an application to estimate the wear in the blades used in tractors, using Convolutional Neural Network to
predict its impact on the fuel consumption of the tractor using the multiple linear regression algorithm.
SKILLS
Languages and frameworks: C, C++, Java, JavaScript, R, Python, HTML, CSS, SQL, Bootstrap, Django, Flask, Struts.
Tools and databases: Git, Mercurial, Tableau, SQLite, Redis.
ML/DL Libraries: Scikit-learn, Pandas, Matplotlib, TensorFlow, Keras.
CERTIFICATIONS
- Data Analyst Nano Degree by Udacity.
- A-Z Machine Learning by Udemy.
- Introduction to R by DataCamp.
- Introduction to Python by Spoken Tutorial, IIT Bombay.
PUBLICATIONS
“Survey on Image Analysis Using Brain Magnetic Resonance Images”, International Conference on Telecommunication,
Power Analysis and Computing Techniques, 2017, ISBN: 978-1-5090-3381-2, PP 426-435.
“Designing a smart transport system application for South Indian traffic scenarios”, International Conference on
Communication and Electronics Systems (included in the IEEE Xplore), 2017, e-ISBN: 978-1-5090-5013-0, p-ISBN: 978-1-5090-
5014-7, DOI: 10.1109/CESYS.2017.8321124
“UTLP based Automatic Toll Tax Collection System Using RFID Technology”, International Organization of Scientific
Research Journal, 2017, e-ISSN: 2278-0661, p-ISSN: 2278-8727, Volume 19, Issue 6, Ver. IV, PP 56-59, DOI: 10.9790/0661-
1906045659.
“Design of smart device for healthcare and road safety”, International Journal of Pure and Applied Mathematics (Scopus
Indexed), 2018, e-ISSN: 1314-3395, p-ISSN: 1311-8080, Volume 118, No. 18, 2018, PP 2481-2489.
“A detailed survey on Image watermarking”, International Journal of Pure and Applied Mathematics (Scopus Indexed), 2018,
e-ISSN: 1314-3395, Volume 119, No. 12, 2018, PP 16623-16638.

2. ACADEMIC PROJECTS
Predictive Model for Cancer (Python): Developed a progressive web app, which uses a chat-bot to answer user queries and to
collect data from them to predict the survivability and classify the stage of breast cancer using multiple linear regression and
artificial neural network respectively.
Automatic Toll Tax Collection System (C): Developed an embedded system using the Universal Learning Kit (ULK) with the
integration of Radio-frequency Identification (RFID), which aims at automating the toll tax collection process.
HACKATHON PROJECTS
F-Suite (Java, Python): Developed an Android application interfacing with Django framework, which uses regression models,
Computer Vision techniques and Convolutional Neural Network to provide a suite of functionalities to farmers, such as crop
suggestion, yield prediction and crop disease identification.
Smart Jar (C++, Python): Implemented an Internet of Thing (IoT) model using NodeMCU for the rehabilitation centers to control
and monitor a person’s drinking habit by processing the MQ3 sensor data stored and retrieved from ThingSpeak cloud channel.
PET PROJECTS
Google Ngram API (Python): Developed and published an open-source python package in The Python Packaging Index (PyPI)
which provides functionalities to handle the massive N-gram dataset in Google Books.
Strategizer (Python): It is an online algorithmic trading platform developed using Django framework which lets the investors
to create their own algorithms and strategies to automate the trading of stocks from National Stock Exchange (NSE), India.
Data Visualization (Tableau): Created data visualization on ‘Indian Start-ups Funding’ dataset collected from Kaggle using
Tableau.
Exploratory Data Analysis (R): Performed an exploratory data analysis on ‘Financial contribution in the presidential election
of the United States’ dataset using R language.
Data Wrangling (Python): Wrangled the data collected from WeRateDogs twitter account using the Tweepy python package and
made a sentiment analysis.
ACCOMPLISHMENTS
- Won the “Best Out-going Student” award from my undergraduate school.
- Won the “Department Topper” award thrice for securing First, Second and Third rank in the 2nd, 7nd and 5th semester of the
university examination respectively.
- Won the “Best Project” award for developing a mobile application for farmers, in a national level technical hackathon
‘SAACHAK’.
- Won the "Best Business Social Idea” award for the building an implementation model using IoT for aiding farmers, in a
make-a-thon conducted by India Electronics and Semiconductor Association.
- Won the “Runner up” award in an Internet of Things Competition conducted by Go Tech Workshops at the Indian Institute
of Technology, Research park.
- Won the “First Prize” in a Robotic competition in a national level technical symposium at Velammal Institue of Technology.