1. Last Updated on 9th July 2020
Aadit Agarwal
agarwal.aadit99 | +91-8179675451 | aaditagarwal | aaditagarwal
EDUCATION
INDIAN INSTITUTE OF
INFORMATION TECHNOLOGY
AND MANAGEMENT
INTEGRATED POST GRADUATION,
INFORMATION TECHNOLOGY
Expected May 2023 | Gwalior,M.P
CGPA: 8.08/10 (4th
Semester)
XPERTS ACADEMY
SENIOR SECONDARY SCHOOL
CERTIFICATE
Grad. Mar 2018 | Score: 96.7%
TOP KIDS SCHOOL
SECONDARY EDUCATION (CBSE)
Grad. Mar 2016 | CGPA: 10/10
COURSEWORK
Deep Learning Specialization deeplearning.ai
Machine Learning, Stanford University
Introduction to Machine Learning, Udacity
Fundamentals of Data Analytics Analyticca
SKILLS
LANGUAGES AND TOOLS
Python, C/C++, SQL, R, Git, Linux
REST API’s, Microsoft Office, Python
Notebooks
LIBRARIES
TensorFlow, Keras, Scikit-Learn
Numpy, Pandas, MatplotLib, Seaborn
BeautifulSoup
SOFT SKILLS
Leadership Qualities, Public Speaking
Strong communication skills
SPOKEN LANGUAGES
English, Hindi, Telugu
POSITIONS HELD
•Head of Marketing Department
Aurora’20
•Quizzing Events Organizer
Aurora’20
•Executive
Student Activity Council, IIIT,Gwalior
•House Leader
Top Kids School
EXPERIENCE
CALICHE PVT. LTD. | MACHINE LEARNING INTERN
April 2020 – June 2020 | Remote
• Worked on building projects based on Machine Learning from scratch including data
acquisition, processing and validation.
• Automated acquisition and processing processes of projects using various python
scripts.
• Platforms, Libraries and Languages: Tensorflow, Keras, Scikit-Learn, Pandas, MatplotLib,
BeautifulSoup, RDkit, Jupyter Notebook, Python3, Excel
SACCHIDANAND U-TECH | EMBEDDED SYSTEMS INTERN
Dec 2019 - Jan 2020 | Nagpur
• Development of LoRa Modules on Raspberry Pi to establishing network for large scale
home-automation projects being deployed in an apartment scheme.
• Worked on developing scripts in Embedded-C and Python for IOT devices on Arduino
for home-automation devices and sensors connected to LoRa modules.
• Worked on data transfer protocols and network using TheThingsNetwork services.
PROJECTS
IDENTIFICATION OF FUNCTIONAL GROUPS Apr 2020 - Jun 2020
• A Neural Network classification model for determining functional groups present in an
organic compound using its FTIR Spectroscopes.
• Data Acquisition automated using web scrapping. Pre-processing process also
automated.
• Platform & Libraries: Jupyter Notebook, Numpy, Pandas, MatplotLib, Tensorflow, Keras,
Scikit-Learn
CPU SCHEDULER APPLICATION Mar 2020 - Apr 2020
• A GUI application based on Tkinter for implementing CPU scheduling algorithms in an
interactive environment with dynamic functioning of algorithms0.
• Implementation of a simpler version of the short-term scheduling algorithm used in
real-world CPU’s.
• Main Purpose: Make users aware of the various parameters used to compare CPU
shot-term scheduling algorithms. Also allow users to understand the efficiency of
various scheduling algorithms in various process stack scenarios.
CLASSIFICATION OF CAFFEINE PRODUCTS May 2020 - Jun 2020
• Quick and efficient classification of products into various coffee types based on the
FTIR Spectroscopes of the products for product quality control and manufacturing
efficiency.
• Data Pre-processing processes and Exploratory Data Analysis visualized.
• Platforms and Libraries: Scikit-Learn, Pandas, Matplotlib, Numpy, Seaborn, Jupyter
Notebook
ACHIEVEMENTS
2019 2nd
Position in Annual Case Study held by AASF, IIIT, Gwalior.
2018 99.3 Percentile in JEE Mains 2018.
2016 2nd
at State Level in International Mathematics Olympiad, SOF World.
2016 Multiple Awards in Literary events held at school level.
