Himanshu Agarwal

I consider myself a proactive, responsible and result-oriented professional. I am currently pursuing Bachelors in Computer Engineering.

My hobbies include figuring out technical issues, doing research, and creating new technologies. Working in a team environment and getting to know new individuals is something I appreciate. I have a kind, outgoing nature and am a quick learner. Additionally, I excel at working under pressure and have excellent stress management skills.

Aside from this, I also participate in the cryptocurrency and stock markets, where I am studying algorithmic trading techniques. I have utilised my coding talents on a few small-scale initiatives utilising Non-Fungible Tokens (NFT) and Website Development. I am proficient in a number of programming languages, including C++, Python, Java, PHP, etc.

I really feel that the abilities I have developed in this dynamic atmosphere define who I am, and I eagerly anticipate using and honing them in every opportunity I am given.

Projects

Predicting Clicks on Advertisments

Your brand is a story unfolding across all customer touch points.Machine Learning, Python, GitHub, Kaggle, Data Science, Data Visualization, Jupyter Notebook, Big Data, Streamlit

College Pilot

Where Efficiency Meets EleganceNode.js, GitHub, Express.js, MongoDB Atlas, Netlify, React.js

Skills

Python

JavaScript

Node.js

Machine Learning

Data Science

Experience

Mood Indigo, IIT B - Digital Marketing Intern
November 2022 - Present
LetsGrowMore - Data Sciene Intern
December 2022 - January 2023
During my internship at LetsGrowMore, I completed several data science projects including IRIS flower classification, stock market price prediction using stacked LSTM, exploratory data analysis on terrorism, and implementation of the decision tree algorithm. These projects showcased my skills in machine learning, data analysis, and algorithm implementation.
Code Clause - Data Science Intern
November 2022 - December 2022
At CodeClause, I worked on projects applying machine learning algorithms, building a customer churn prediction model, and analyzing and visualizing COVID-19 data. I gained experience in data analysis, feature engineering, model selection and evaluation, and data visualization. These projects have helped me develop valuable skills in the field.
The Sparks Foundation - Data Science Intern
November 2022 - December 2022
At The Sparks Foundation, I was involved in an Exploratory Data Analysis and Visualization project on the IPL dataset. This project allowed me to apply my skills in data exploration, manipulation, and visualization to uncover insights and trends in the data. I utilized various tools and techniques such as data cleaning, feature engineering, and visualization to present the data in a meaningful and compelling way. This project reinforced my ability to work with complex datasets and communicate findings through data visualization.
Internshala - Student Partner