PROJECTS

Handwritten Equation Solving DL Model

Python, TensorFlow, Keras, cv2, Numpy, Pandas, Matplotlib, OS, IPython, Google Colaboratory

I worked on the creation of a deep learning model for detecting, classifying and solving handwritten equations based on tensorflow and keras for model creation, numpy and pandas for statistical data handling, cv2 for computer vision (such as object detection) and few other libraries to stitch the complete functioning project together.

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BITCOIN MEMPOOL TRANSACTION OPTIMIZATION

Python, Pandas, Numpy, Google Colaboratory

I worked on Bitcoin Mempool Transaction Optimization or Maximization based python project as a part of Summer of Bitcoin 2021 challenge; where I approached the problem through data science and statistics.

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PORTFOLIO
WEBSITE

Bootstrap Studio, HTML, CSS, JavaScript, JQuery, Boostrap, AOS Library

This is the personal portfolio website that consists of my experiences, accomplishments, certifications, projects and events; created using HTML-CSS-JS (with Boostrap Studio and AOS JS Library) and hosted using GitHub pages.

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DATA ANALYTICS INSIGHTS

Python, Pandas, Numpy, Matplotlib, Seaborn, Google Colaboratory

I worked on rigorous data analytics project for providing insights to sales department for their effective and efficient working, based on relevel dataset on sales transactions; followed by a brief report with insights and recommendations to the team.

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FLARE'21 WEBSITE

HTML, CSS, JavaScript, JQuery, Boostrap, AOS Library

As the technical head of SnC, I worked on creating the website for Flare 2021 (one of top 3 annual events held at PDEU) from scratch using HTML-CSS-JS alongwith AOS JS library.

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DECISION TREE ML CLASSIFIER

Python, SciKit Learn, Pandas, Matplotlib, Seaborn, Google Colaboratory

I created a decision tree ML algorithm in order to make classification predictions using Python and its libraries (Scikit-learn, Pandas, Matplotlib, Seaborn, IPython & Pydotplus) on an Sklearn Dataset; hosted on Google Colaboratory (reaching an accuracy of 96.67%).

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TIME SERIES PREDICTION

Python, SciKit Learn, Pandas, Matplotlib, Seaborn, Google Colaboratory

I worked on creating a stock market (time series) prediction model with input features that include adjusted closing price, adjusted volume, high low percentage and percentage change to predict future price of stock (with help of regression model created using Scikit Learn library) with 99+ % accuracy.

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INSTAGRAM POST REACH PREDICTION

Python, SciKit Learn, Pandas, Matplotlib, Seaborn, Google Colaboratory

I worked on creating an Instagram post reach prediction ML model (based on multivariate regression) with input features that include followers and time/likes to predict likes/time of a particular post (created using Scikit Learn library).

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DEBATE SOCIETY BLOG WEBSITE

HTML, CSS, JavaScript, JQuery, Boostrap, AOS Library

I solely worked on Debate Society's Blog website and created it from scratch (with home page and individual blog pages) using HTML-CSS-JS (with Boostrap Studio and AOS JS Library).

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COVID19 QUANT. MODELING

Python, OS, CSV, Pandas, Numpy, Matplotlib, Google Colaboratory

I worked on performing exploratory analysis on a COVID-19 dataset (CSV file) of India that consists of data that included date, number of cases (in 4 columns) and state of origin; to analyze number of cases and rate of increase (on daily basis).

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PETROCUP'20 WEBSITE

Weebly, HTML, CSS, JavaScript

I worked as a web developer (focused on Frontend Development) for Petrocup 2020 fest website; where I built complete event site from scratch and worked on user experience along with UI.

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FUNDAMENTAL PYTHON APP

Python

I worked on a python application (amalgamation of several fundamental, basic and advanced python functions) to create a visual and interactive python application. It has basic login function and the ability to choose a task and perform it (including list manipulation, stone-paper-scissor game against computer and task management among others).

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