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Vishu

📄


VISVESWARAIAH BANDARI

Hey, Welcome! this is me and my work

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ABOUT ME

I am an Electrical Engineering undergraduate from IIT Jodhpur, currently working
as a Data Scientist in IPLTech Electric; An electric truck manufacturer based in
Delhi. I started by working on a project of developing a prototype vehicle where
I was responsible for the controls, then I gradually moved onto the remote
diagnostics platform, where the task was to capture all the data that is
generated from the vehicle and analyze the data for making both technical and
business decisions.
 

PROFESSIONAL SUMMARY

 * Proactive professional with 3+ years of experience and strong knowledge in
   Data Analytics Tools & Libraries (Python, Power BI, Tableau, MySQL and
   NoSQL), Data Visualization, Machine Learning, Data Structures, and
   Exploratory Data Analysis

 * Queried data from various databases and created data sets that can then be
   analyzed to provide key insights; ensured compliance with coding standards
   and internal practices

 * Gained insightful knowledge of business process analysis and design-based
   process re-engineering and process optimization from technical solutions
   using cutting-edge technologies

 

PROJECTS

 
 1. Ethereum Network Analysis | Dune Analytics

Primary goal: Ethereum Layer 1 Analysis to understand the activity on the
network and its dependency on the price
Solution:
Data Collected: Provided by Dune in the format of Postgres tables; Here the data
gets updated every 15 minutes
Queried data from multiple tables; Plotted the data for Sender Vs receiver
ratio, Price Vs ratio
Result: Ethereum price dip increases transactions in the network, Unique sending
accounts were always greater than the receiving accounts.
 
2. Covid-19 Data Analysis | Tableau Dashboard
Description: Analyzed the relationship between infection and deaths
Solution:
Data Collected: Covid data was downloaded from
https://ourworldindata.org/covid-deaths where the data is updated everyday;
Cleaned the data in Excel, Set up a local SQL server for querying the data.
Created Tableau Dashboard displaying different demographic divisions to find the
correlation between Covid-19 deaths and infections.
Result: Found that percent population infected was heavily concentrated in two
continents, specifically Europe and South America. Continents that have the
highest infection also have higher deaths.
 
 1. Twitter Sentiment Analysis

Description: Classifying sentence as Positive or Negative for any given tweet
Solution:
Data Collected: Kaggle Competition data for training the model
Performed Data cleaning and extracted features using text vectorization. Applied
various machine learning models to assess the performance; Used Multinomial
Naive Bayes to extract sentiment of the tweets
 
 1. Drowsiness Detection

Description: finding sleepy people in a frame as drowsy or not drowsy
Solution:
Data Collected: Kaggle competition dataset for training the model
Created a Machine Learning Model that alerts drivers when they are drowsy. Used
CNN Model for classifying the image and Haar-cascade Algorithm for detecting the
eyes.
 
 

PUBLICATIONS

 
Project: Blockchain Research Paper
Description: Brief Survey of Token curated registries, survey paper of TCRs and
its applications; compared various TCR topologies. The paper was published in
IEMIS 2020.
 

AREA OF INTERESTS:

 * Blockchain
    * Attended Consensys developer program and interacted with the leaders of
      Ethereum blockchain ecosystem
    * Interested in Token engineering
    * Have a blog
    * Creating dashboards for community development

 * Electric vehicles
    * Worked in an electric vehicle startup.
    * an active member of the Nexloop EV community

 * Books
    * 👇🏽 Some of the learnings from books
      
      My Kindle Clippings

 
 
 
 
 
👋🏼
Thanks for your time and feel free to say hello
@itsbandari @linkedIn @github