Krish Goyal

I'm a

About

Hi, I'm Krish! ๐Ÿ‘‹
An aspiring Data Scientist๐Ÿ“Š, Open Source Lover and Tech Advocate๐Ÿ‘จโ€๐Ÿ’ป! I also enjoy mentoring people. When offline, I talk and socialise ๐Ÿ“š.

Data Analyst & Full Stack Python Developer

  • Birthday: 10 November 2002
  • Email: goyal.krish0522@gmail.com
  • Phone: +91 9936535554
  • City: Pune, Maharashtra

As a young man with a natural fascination for a multitude of subjects, my journey towards discovering my life's focus has been consistently exhilarating. My strong organizational skills and attention to detail represent qualities that can greatly benefit any organization.

I delved into various fields, including commerce and programming. What truly fascinated me was understanding how the world operated. This fascination eventually led me to venture into the realm of technology, where I discovered how it could elegantly address intricate real-world challenges.

Being a leader and becoming a more critical-thinking person who can be an asset to any position I hold. I am eager to learn and grow and always looking for new challenges.

Skills

  • Python70%
  • SQL80%
  • JavaScript50%

  • Django/Python60%
  • Flask70%

  • Git40%
  • GitHub50%
  • Bootstrap40%
  • Dockerfile30%

  • MySQL70%
  • PostgreSQL65%
  • MongoDB50%
  • Firebase40%

  • Machine Learning60%
  • Python/Scikit-learn60%
  • Quantitative Analysis40%
  • NLP40%
  • Deep Learning40%
  • Azure (App Service, Language Studio, ML Studio)50%
  • Data Analysis(Python, Power-BI)70%
  • Neural Networks40%
  • Excel50%
  • Neural Networks40%
  • Image Processing40%

  • Web Development40%
  • Application Development50%
  • Model Deployment50%

  • Leadership75%
  • Event Management90%
  • Public Speaking85%
  • Time Management70%
  • Tech-savvy70%
  • Analytical80%

Resume

Passionate towards coding and cracking the most complex challenges, which is interesting on my way. As a highly organized and detail-oriented person, who can be the greatest strength of any organization. Being a leader and becoming a more critical-thinking person who can be an asset to any position I hold. I am eager to learn and grow and always looking for new challenges.

Summary

Krish Goyal

Innovative and deadline-driven Aspiring Data Scientist who is interested in designing and developing user-centered digital/print marketing material from initial concept to final, polished deliverable.

  • Pune, Maharshtra, India
  • +91 9936535554
  • goyal.krish@gmail.com

Education

Bachelor of Science in Data Science

2021 - 2024

CHRIST (Deemed to be University), Lavasa, Pune, India.

Commerce with Mathematics

2020 - 2021

City Montessori School, Lucknow, India.

Science with Computers

2018 - 2019

City Montessori School, Lucknow, India.

Projects

Webscrape.io

December 2023

This project aims to scrape a news article website to collect the articles with their links,then classify the articles using Text Classification model(s) based on their categories from the News Website.

Howards-students-performance

December 2023

  • This project contains the solution submitted in the final round of the Hackverse-23organised by Christ Infotech.Our project involved creating a model through data analysis and machine learning to evaluate student performance. We compared multiple algorithms for accuracy and selected the most effective one, deploying it through the Flask framework.
  • The goal was to assess students' performance based on attributes like family size, alcohol consumption, study timings, and failures, utilizing a dataset with 33 variables representing the quality of education. Excitingly, our efforts were rewarded with a prize in the hackathon!
  • Travel-DBMS-Application

    September 2023

    This project uses Tkinter GUI library based application for storing the travelling list with the input from the user. The users can mark the destination as from "To visit" --> "Visited".

    Diabetes Prediction WebApp

    July 2023 - September 2023

    Predicting the diabetes of a person using the Kaggle dataset and deployed using Azure WebApp service Analysis and finding insights about people's health through Azure Health Chatbot, which interacts with the user to give them the best medical advice

    Store Sales Analysis

    June 2023 - August 2023

    This project aims towards a real-time dashboard that stores and tracks the records of sales made at a superstore to analyse the sales and profit of the superstore.

    Object Color Detection

    February 2023 - May 2023

    This project contains the image processing using Yolo v3 pre-trained weights and image libraries to detect the colour of the liquid present in the white transparent bottle

    Student Database Management

    April 2023

    Developed and configured Flask web framework with NoSQL databases rendering HTML & CSS files and hosting on a local server performing basic crud operations.

    Hackverse-22 Hackathon - Life Expectancy Prediction

    November 2022

    This project contains the solution submitted in the final round of the Hackverse-22 organised by Christ Infotech. We created a model based on the data analysis and machine learning by comparing several algorithms accuracy and final one to take under the consideration and deployed through Flask framework.

    Stock Price Prediction

    April 2022 - May 2022

    This project is focused on analyzing the Nifty-50 dataset during the past five years of data, including the covid year and observed its effect on the fuel price, referencing different new and relevant observations after observing the dataset.

    Professional Experience

    Application Developer Intern

    July 2023 โ€“ September 2023

    Microsoft Future Ready Talent

    • Applied various visualization techniques to analyze diabetes data, utilizing libraries like sklearn, to predict a patient's diabetes risk based on specific features. Deployed the predictive model using Flask Server.
    • Achieved final deployment on Azure Services through Azure App Service and incorporated Azure Health Bot for consultation and recommendations based on the predicted patient risk scores.

    Data Analyst Intern

    July 2023 โ€“ August 2023

    Edunet Foundation under IBM SkillsBuild

    • Utilized various Visualization techniques on SuperStore Sales data, employing libraries like Plotly, etc.
    • Visualized data points using Power BI to perform in-depth Profit and Sales Analysis, gaining insights into customer sales trends. This information can be leveraged by the supermarket to enhance their purchasing strategies.

    Data Science Intern

    July 2022 โ€“ August 2022

    The Sparks Foundation

    • Applied various Machine Learning Algorithms to assess the model's accuracy.
    • Conducted Exploratory Data Analysis (EDA) to recognize patterns in customer data, leading to a deeper comprehension of customer preferences and trends.

    Communities

    Here are some of the communities that I associate with!

    Portfolio

    Here is some of my notable work!

    • All
    • GitHub Projects
    • Competitions
    • Certifications

    Contact

    These days, I am looking for opportunities that will fuel my passions for problem solving, in the tech industry, specifically exploring the role of Data Science and Python Web Development in telling stories. If you are interested in chatting, please feel free to connect or reach out to me!