About Me

My name is Rushikesh Yadav, a graduate student with a passion for Data Science and Machine Learning. My journey into these fields began during my engineering studies, where a natural curiosity led me to delve deeper into the realms of data analysis and predictive modeling. I further honed my expertise through various online courses and hands-on projects, culminating in certifications in Data Science and Machine Learning.

Notably, I hold the prestigious Google Advanced Data Analytics certificate, a testament to my commitment to staying at the forefront of industry best practices. Additionally, I have completed a 9-month Data Science Bootcamp from FACE Prep Training Institute, showcasing my proficiency in the entire spectrum of data science, from data acquisition to deploying machine learning models.

I am enthusiastic about leveraging my knowledge and skills to contribute meaningfully to the exciting and evolving landscape of data science.

Education

  • Bachelor of Technology
    SKN Sinhgad College of Enginerring, Pandharpur
    Percentage 79.48
    Completed in 2022
  • Diploma
    Shivaji Polytechnic, Atpadi
    Percentage 66.41
    Completed in 2019
  • Secondary School Certification(SSC)
    Dighanchi High-School, Dighanchi
    Percentage 76
    Completed in 2016

Skills

Python

  • NumPy
  • Pandas
  • SciPy
  • Matplotlib
  • Seaborn
  • Plotly
  • Data Structures & Algorithms(DSA)
  • Functions
  • Modules
  • OOPs
  • Exception Handling
  • Machine Learning Algorithms

  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Support Vector Machines(SVM)
  • k-Nearest Neighbors(k-NN)
  • Naive Bayes
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis(PCA)
  • Deep Learning

  • TensorFlow
  • Keras
  • PyTorch
  • Neural Networks Architecture
  • Activation Functions-ReLU, Sigmoid, Tanh
  • Convolutional Neural Networks(CNN)
  • Recurrent Neural Networks(RNN)
  • Artificial Neural Networks(ANN)
  • NLP
  • Statistics

  • Descriptive Statistics
  • Hypothesis Testing
  • Probability Distribution
  • statistical Graphics
  • Time Series Analysis
  • SQL

  • SQL Commands
  • Joins
  • Subquery
  • CTEs
  • Indexes
  • Views
  • Stored Procedure
  • Triggers
  • Cursor
  • Normalization
  • Data Visualization Tools

  • Tableau Desktop
  • Microsoft Power BI
  • Web Development

  • HTML 5
  • CSS 3
  • JavaScript
  • Django
  • Flask
  • MongoDB
  • Restful APIs
  • GraphQL API
  • Github
  • Software Development

  • C# Programming Language
  • MS SQL SERVER
  • .NET Framework
  • ASP.NET Core
  • ASP.NET Web Forms
  • MVC/Web Services
  • .NET Blazor
  • My Certifications

    project1

    9-Month Python, DSA and Data Science Bootcamp from FACE Prep

    project1

    Google Advanced Data Analytics Professional Certificate

    project2

    Data sciecne with Python Training from Infosys Springboard

    project3

    30 Day's Internship On Machine Learning at Pantech Prolabs India Pvt. Ltd

    project3

    Application of Machine Learning in Urban Studies at IIRS-ISRO, Dehradun

    project3

    Internship On Python at Pantech Prolabs India Pvt. Ltd

    project3

    Certificate for Python (Basic) assessment from HackerRank

    project3

    30 Day's Internship On Data Analytics at Pantech Prolabs India Pvt. Ltd

    project3

    5 Day's Workshop On SQL at Skill Nation

    project3

    Certificate for SQL (Basic) assessment from HackerRank

    project3

    Certificate of Microsoft Power BI Basics from Udemy

    project3

    30 Day's Internship On Artificial Intelligence(AI) at Pantech Prolabs India Pvt. Ltd

    My Project

    BOOK RECOMMENDATION SYSTEM
    project1

    BOOK RECOMMENDATION SYSTEM

    In this project, I created a machine learning model that uses data about books, their authors, and their reader's ratings to make book recommendations with the help of both Popularity-Based and Collaborative-Based Recommendation Systems.

    FLIGHT FARE PREDICTION
    project2

    Flight Fare Prediction

    flight price prediction model using Python and various machine learning techniques and algorithms such as K-Nearest Neighbors (KNN), Decision Trees, and Random Forest.

    TIME SERIES ANALYSIS
    project3

    TIME SERIES ANALYSIS

    Time series analysis is a statistical technique that is used to analyze data points collected over time. In this project, the focus was on performing time series analysis on shop data that includes information on sales and items.

    Daily Sales App 🌐💻
    project3

    Daily Sales App

    🔍 Project Overview:
    ✅ Tech Stack: C#, SQL Server, Windows Forms
    ✅ Key Features: Database connectivity, sleek UI design, data manipulation, and more!
    ✅ Noteworthy: Monthly and daily sales totals, date filtering, and a solid error-handling mechanism.

    See more

    Blogs

    project1

    The Essential Learning Roadmap for Data Scientists Using YouTube as a Learning Platform.

    project1

    The Essential Learning Roadmap for Data Scientists Using YouTube as a Learning Platform.

    Follow Me on Medium

    Contact

    rushikeshyadav301220@gmail.com

    7499101323

    7448069149

    Download Resume