AMAN SINGH

+91-880******* New Delhi, India

adiab6@r.postjobfree.com linkedin Github

EDUCATION

Bachelor of technology Expected 2022

Indian Institute of technology mandi CGPA: 7.48

CBSE, Class XII 2015 - 2017

Rajkiya Pratibha Vikas Vidhyalaya, Dwarka sector-10, Delhi Percentage: 89.1% SKILLS AND INTERESTS

Languages Python, C++, HTML, CSS, Javascript.

Tools and Technologies Scikit-learn, Django, Keras, Autocad, Tensor ow, Latex, Arduino, Raspberry pi, Excel.

Relevant Coursework Computing and Data Science(Python programming and Statistics), Data Science-2(Probability and Random variables),

Data Science-3(Machine Learning), Deep Learning A-Z (course udemy), Engineering Mathematics(Calculus and In nite series), Linear Algebra, Principle of Economics, Fluid Mechanics,

Financial accounting, Continuum Mechanics(Tensor Calculus), Portfolio construction course( Coursera ), Deep learning course( Coursera). WORK EXPERIENCE

Contributor at PHOTOMATH Jun 2020 - Present

Photomath is the platform where students asks their queries related to mathematics. Me as an Expert solves their queries and produces quality content for the platform. PROJECTS

My Indian Mart (E-commerce store) Ongoing

This website is a an a liate e-commerce store linked to amazon. The products made in India have been isolated from foreign products on this website. The di erent a liate links have been generated by scraping amazon with the help of selenium

Languages and Frameworks used: Django, python, selenium, HTML, CSS, Javascript and jquery Stock market predictor(Project link) Feb 2020-Jun 2020

This project predicts the buy, sell and hold call for the given stock for short and long duration with an accuracy more than 80%.This projects also aims at portfolio management.

Machine learning models like xgboost, random forest, MLP and LSTM have been tested with large number of indicators and the best model is used.

Ball Follower Robot (Robotronics Club IIT Mandi) Dec 2019-Jan 2020

This robot can follow a ball of Uniform color using computer vision and Image processing.

Tools used: Raspberry pi, Raspberry pi camera module, motor and motor driver and Arduino Ultrasonic Sensors. Other ML DL projects

Health X app: To detect the nutrients content in the food item by taking an image, using convolution neural networks and other classi cation models.

Image caption generator: To generate the captions of an image using convolution neural networks and recurrent neural networks.

Food Classi cation: To classify di erent food items using convolution neural networks on images of the food items.

Corona virus cases prediction: To predict the number of corona virus cases using time forecasting models like exponential smoothing, arima and recurrent neural networks. POSITION OF RESPONSIBILITY

Member of organizing team Aagaman (IIT Mandi)

Core Member Robotronics Club(IIT Mandi).

ACHIEVEMENTS

Mental Maths quiz competition winner(District Level)

Secured 2nd position in Robo wars held at IIT Mandi(Exodia).

Secured 3rd position in 4x400m relay race at Aagaz IIT Mandi.

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