Hello,

I am Bharathkumar M S
A 2022 B.E graduate from Visvesvaraya Technological University, Belagavi

  • I am a Mechanical Engineer with a passion towards Data.
  • Strong Understanding of Machine Learning Algorithms and techniques.
  • Proficient in Programming languages such as Python and SQL.
  • Experience with Data Manipulation tools such as Pandas and Numpy.
  • Experience with Data Visualization tools such as Seaborn and Matplotlib.
  • Solid understanding of Exploratory Data Analysis , Statistics , Probability, Linear algebra , calculus etc.
  • Excellent problem-solving and communication skills.
  • Looking to utilize my skills in Data Science Industry.
  • I enjoy finding Optimal solutions to complex business problems.
  • I enjoy communicating and sharing my ideas.
  • My greatest strength is the ability to adapt in the fast-paced environment.
  • I am a quick learner and I deep dive into the things I learn.

My Experience

2023, feb

Data Science Intern, Innomatics Research Labs
  • Worked on some tasks related to python and Flask
  • Worked on some machine learning projects
  • Performed Data cleaning, Exploratory Data analysis and Feature engineering Techniques
  • Worked on Plant Disease Classification Project
  • Built a Model and deployed

2022, Oct

Data Science Intern, iNeuron.ai
  • Various data cleaning and data preprocessing techniques were applied on the raw data
  • Analyse the data by visualisation using seaborn and matplotlib
  • Predictied flight fare prediction
  • Model building using Decision tree and Random forest
  • Deployed in Heroku Platform

2021, Dec

Data Science Intern, Exposys Data Labs
  • Worked with a variety of tools and techniques, including Python, SQL, Pandas, Numpy, Matplotlib and scikit-learn.
  • Performed Data cleaning, Exploratory Data analysis and Feature engineering Techniques
  • Predicted Healthcare Diabetic Prediction
  • Built a Model and deployed

Skills

Technical Skills

  • Languages
    → Python
    → SQL

  • Machine Learning
    → Regression
    → Classification
    → Clustering
    → sklearn, pandas, numpy, seaborn, matplotlib

  • Tools
    → VSCode
    → Colab and Anaconda
    → Pycharm

  • Databases
    → MySQL
    → Basics of MongoDB

Personal Skills

  • Willingness to learn and ability to be a good team player.

  • Team Player with effective communication skills.

  • Good analytical and logical skills.

  • Having leadership quality and good convincing power.

  • Ability to think of parallel solutions to the complex issues.

Projects

Flight fare prediction

  • The main goal is to predict the Price of the flights based on different factors available in the provided dataset.
  • Exploring datasets using pandas, NumPy, matplotlib and seaborn.
  • Built a model by Random forest and Using Randomizedsearch CV and GridSearch CV to select the best parameter for training the model.
  • Achieved accuracy score of 81.2% on the test data.
  • Deployed using Flask in Heroku.

Car price prediction

  • The main objective of this project is to predict car price based on some features.
  • Various data cleaning and data preprocessing techniques were applied on the raw data.
  • Analyse the data by visualisation using seaborn and matplotlib.
  • Model building using Decision tree and Random forest.
  • Built and deployed web app using Flask API and Heroku.

Certificates

Blogs

COVARIANCE AND CORRELATION

  • In this Blog, I am discussed about How Covariance and Correlation plays an important role while doing feature selection.

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