About

Focused and enthusiastic developer with a keen interest in software development and artificial intelligence. By comprehensive exposure to the underlying concepts and applying them vividly to various projects, my love for these domains came into being. I am a passionate individual who thrives to build and apply algorithms to solve real-world industry problems.

  • Birthday: 10 October 2002
  • Phone: +91 9390365179
  • City: Nellore
  • Email: nithish.kantabathina@gmail.com

Interests

Full-Stack Development

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering

Visualization

Algorithms

Image Processing

Education

B.Tech. cse ai and ml

July 2020 - June 2024
Relevant Coursework
  • Database Management Systems
  • Algorithms & Optimization for Big Data
  • Machine Learning

Online Certification

Amazon Web Services

Algorithms-Design and Analysis

Machine Learning

Web development

Data science

Experience

Sparks Foundation

December 2021 - January 2022

Intern

  • Collecting and organizing data from various sources, such as databases, spreadsheets, and web analytics tools. Cleaning and processing data to ensure its accuracy and completeness. Analyzing data using statistical techniques, such as regression analysis, time-series analysis, and clustering. Creating visualizations and dashboards to communicate insights from data to stakeholders. Developing predictive models to forecast future trends and identify opportunities for growth. Collaborating with other teams to identify and solve business problems using data-driven insights. In summary, a data analyst plays a crucial role in helping organizations make informed decisions by providing insights from data analysis. They are essential in ensuring that data is accurate, meaningful, and relevant to business goals

Technocolabs

DEC 2022 - JAN 2023

Machine Learning

  • DDefine the problem and gather data: Identify the problem that you want to solve using machine learning, define the objectives, and gather relevant data to work on. Explore and clean the data: Understand the data by visualizing and summarizing it, detect anomalies and inconsistencies, and clean it to prepare it for analysis. Prepare the data for modeling: Select features to use in the model, transform categorical data to numerical data, and split the data into training and testing sets. Develop models: Choose the appropriate machine learning algorithm for the problem and the data, and train the model using the training data. Evaluate models: Test the model using the testing data, and evaluate its performance using metrics such as accuracy, precision, recall, and F1-score.

ICET

December 2021 - January 2022

Full-STACK Developer

  • Front-end development: HTML, CSS, JavaScript, jQuery, React, Angular, Vue.js, etc. Back-end development: Server-side programming languages like Java, Python, PHP, Ruby, Node.js, etc. Web frameworks: Spring, Django, Ruby on Rails, Laravel, Express.js, etc. Database technologies: SQL, MongoDB, PostgreSQL, Oracle, etc. DevOps and deployment tools: Git, Jenkins, Docker, Kubernetes, AWS, Azure, etc.

Projects

  • All
  • Web-App
  • Project

Twitter Analysis

Image recognition as Service

Music Streaming Website

Movie Recommender

Resume Section Classifier

Resume Section Classifier

Video Description Generator

ML-DL Web-App

Image Generator

Skills

Languages and Databases

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Frameworks

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Tools

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Contact

My Address

Nellore

Social Profiles

Email

nithish.kantabathina@gmail.com

Contact

9390365179