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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<title>Sankhya singh Portfolio</title>
<meta content="" name="description">
<meta content="" name="keywords">
<!-- Favicons -->
<link href="assets/img/favicon.png" rel="icon">
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<!-- Template Main CSS File -->
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<!-- =======================================================
* Template Name: iPortfolio - v1.5.0
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* Author: BootstrapMade.com
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</head>
<body>
<!-- ======= Mobile nav toggle button ======= -->
<button type="button" class="mobile-nav-toggle d-xl-none"><i class="icofont-navigation-menu"></i></button>
<!-- ======= Header ======= -->
<header id="header">
<div class="d-flex flex-column">
<div class="profile">
<img src="assets/img/profilepics.jfif" alt="" class="img-fluid rounded-circle">
<h1 class="text-light"><a href="index.html">Sankhya singh</a></h1>
<div class="social-links mt-3 text-center">
<a href="https://www.linkedin.com/in/sankhya-singh-990b67192/" class="linkedin"><i class="bx bxl-linkedin"></i></a>
<a href="https://twitter.com/sankhya5" class="twitter"><i class="bx bxl-twitter"></i></a>
<a href="https://www.facebook.com/sankhya.singh.5" class="facebook"><i class="bx bxl-facebook"></i></a>
</div>
</div>
<nav class="nav-menu">
<ul>
<li class="active"><a href="index.html"><i class="bx bx-home"></i> <span>Home</span></a></li>
<li><a href="#about"><i class="bx bx-user"></i> <span>About</span></a></li>
<li><a href="#resume"><i class="bx bx-file-blank"></i> <span>Resume</span></a></li>
<li><a href="#portfolio"><i class="bx bx-book-content"></i> Portfolio</a></li>
<li><a href="#Videos"><i class="bx bx-server"></i> Videos</a></li>
<li><a href="#contact"><i class="bx bx-envelope"></i> Contact</a></li>
</ul>
</nav><!-- .nav-menu -->
<button type="button" class="mobile-nav-toggle d-xl-none"><i class="icofont-navigation-menu"></i></button>
</div>
</header><!-- End Header -->
<!-- ======= Hero Section ======= -->
<section id="hero" class="d-flex flex-column justify-content-center align-items-center">
<div class="hero-container" data-aos="fade-in">
<h1>Sankhya Singh</h1>
<p><span class="typed" data-typed-items="Machine learning engineer, Data Scientist, Data Analyst"></span></p>
</div>
</section><!-- End Hero -->
<main id="main">
<!-- ======= About Section ======= -->
<section id="about" class="about">
<div class="container">
<div class="section-title">
<h2>About</h2>
<p>Bachelor of advance computing at Australian National University. Data science and machine learning enthusiast.</p>
</div>
<div class="row">
<div class="col-lg-4" data-aos="fade-right">
<img src="assets/img/Anu_image.jpg" class="img-fluid" alt="">
</div>
<div class="col-lg-8 pt-4 pt-lg-0 content" data-aos="fade-left">
<div class="row">
<div class="col-lg-6">
<ul>
<li><i class="icofont-rounded-right"></i> <strong>Birthday:</strong> 15 Dec 1998</li>
<li><i class="icofont-rounded-right"></i> <strong>City:</strong>Canberra, Australia</li>
<li><i class="icofont-rounded-right"></i> <strong>University:</strong> Australian National University</li>
<li><i class="icofont-rounded-right"></i> <strong>Email:</strong> [email protected]</li>
</ul>
</div>
<div class="col-lg-6">
<ul>
<li><i class="icofont-rounded-right"></i> <strong>Age:</strong> 22</li>
<li><i class="icofont-rounded-right"></i> <strong>Degree:</strong> Bachelor of advance computing (Honours)</li>
</ul>
</div>
</div>
<p>
I am a recent graduate of Bachelor in Advance computing (Honours) from Research school of Computer science and Engineering Australian National University.
I'm passionate about machine learning and data science and have completed all the advanced course in machine learning before my degree completion. I exhibit a resolute mentality, and eager to learn and adapt to different environments.
I am currently seeking data science or machine learning entry level roles in the whole of Australia.
</p>
</div>
</div>
</div>
</section><!-- End About Section -->
<!-- ======= Skills Section ======= -->
<section id="skills" class="skills section-bg">
<div class="container">
<div class="section-title">
<h2>Skills</h2>
<p></p>
</div>
<div class="row skills-content">
<div class="col-lg-6" data-aos="fade-up">
<div class="progress">
<span class="skill">Machine Learning <i class="val">100%</i></span>
<div class="progress-bar-wrap">
<div class="progress-bar" role="progressbar" aria-valuenow="100" aria-valuemin="0" aria-valuemax="100"></div>
</div>
</div>
<div class="progress">
<span class="skill">Optimisation <i class="val">90%</i></span>
<div class="progress-bar-wrap">
<div class="progress-bar" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100"></div>
</div>
</div>
<div class="progress">
<span class="skill">Data Wrangling <i class="val">75%</i></span>
<div class="progress-bar-wrap">
<div class="progress-bar" role="progressbar" aria-valuenow="75" aria-valuemin="0" aria-valuemax="100"></div>
</div>
</div>
</div>
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<div class="progress">
<span class="skill">Pytorch<i class="val">90%</i></span>
<div class="progress-bar-wrap">
<div class="progress-bar" role="progressbar" aria-valuenow="80" aria-valuemin="0" aria-valuemax="100"></div>
</div>
</div>
<div class="progress">
<span class="skill">Keras<i class="val">90%</i></span>
<div class="progress-bar-wrap">
<div class="progress-bar" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100"></div>
</div>
</div>
<div class="progress">
<span class="skill">Tenserflow<i class="val">80%</i></span>
<div class="progress-bar-wrap">
<div class="progress-bar" role="progressbar" aria-valuenow="55" aria-valuemin="0" aria-valuemax="100"></div>
</div>
</div>
</div>
</div>
</div>
</section><!-- End Skills Section -->
<!-- ======= Resume Section ======= -->
<section id="resume" class="resume">
<div class="container">
<div class="section-title">
<h2>Resume</h2>
<h5> Download my latest resume <a href="ResumeFinals1.pdf" download>Download resume</a> </h5>
<p></p>
</div>
<div class="row">
<div class="col-lg-6" data-aos="fade-up">
<h3 class="resume-title">Education</h3>
<div class="resume-item">
<h4>Bachelor of Advanced computing (Honours) </h4>
<h5>2016-2020</h5>
<p><em>Australian National University, Canberra, ACT</em></p>
<p>Specialisation in Intelligent systems and machine learning</p>
<h5> Course completed </h5>
<h6>1)Advance topics in Machine learning (Convex optimisation problems, Solutions using Newton's Method and Interior point method and Intro to Deep Declarative Networks) </h6>
<h6> 2)Statistical Machine learning (Regression, classification, probabilistic graphical models, SVM's and kernel methods) </h6>
<h6> 3)Introduction to Machine Learning</h6>
<h6> 4)Bio Inspired Human computing : Neural Networks(CNN, LSTM, Variational autoencoders, GAN's, Reinforcement learning, Evolutionary Algorithms, Swarm movement)</h6>
<h6> 5)Artificial Intelligence (Constraint programming,search algorithms(A*),Planning and KKR(Knowledge representation and reasoning))</h6>
<h5> Research Project </h5>
<h6>Allowing exceptions in Knowledge base through Defeasible reasoning</h6>
<h6> Defeasibe reasoning allows exceptions in the process of decision making . The project involved testing various section of the laws and check their consistency by allowing redundant exceptions</h6>
</div>
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">Internship</h3>
<div class="resume-item">
<h4>JP Morgan Chase</h4>
<h4>Virtual Software Engineer</h4>
<h5>Dec 2019 - Feb 2020</h5>
<ul>
<li>Establishing Financial Data feeds</li>
<li>Frontend Web development </li>
<li>Data Visualization with Perspective</li>
</ul>
</div>
<div class="resume-item">
<h4>Volunteering</h4>
<h4><em>Robogals Canberra</em></h4>
<h5>2018- 2020</h5>
<h4><em>National Youth Project(India)</em></h4>
<h5>2012-2013</h5>
<ul>
</ul>
</div>
</div>
</div>
</div>
</section><!-- End Resume Section -->
<!-- ======= Portfolio Section ======= -->
<section id="portfolio" class="portfolio section-bg">
<div class="container">
<div class="section-title">
<h2>Portfolio</h2>
<p>Combination of projects done on individual as well as university based teaching guidelines.</p>
</div>
<table class="featured-work_table">
<tbody>
<tr class="work_row">
<td class="work_col_1">
<a href="https://github.com/sankhya10/Total-variationa-denoising/blob/main/TV.ipynb" target="_blank"><img src="assets/img/maestro.png" class="img-fluid" alt="">
</a>
</td>
<td class="work_col_2">
<h3>Total Variation denoising using convex optimisation</h3>
<ul>
<li>We use the concept of Tikhonov regularization smoothing in order to denoise one dimesional corrupted signal (also case of bicriteria convex optimisation problem) </li>
<li> Inpainting is an interpolation problem, filling the unknown region with a condition to agree with the known image on the boundary. We use Total variation regularisation to solve the problem.</li>
</ul>
</td>
</tr>
<tr class="work_row">
<td class="work_col_1">
<a href="https://github.com/sankhya10/TransferLearningusingquantization" target="_blank"><img src="assets/img/image.png" class="img-fluid" alt="">
</a>
</td>
<td class="work_col_2">
<h3>Facial recognition using transfer learning and quantization </h3>
<ul>
<li>We used the Resnet50 pretrained deep learning model on static movie images</li>
<li>The underlying model was finetuned using the Pytorch Quantization</li>
<li>To overcome the effect of generalization we used the network reduction technique </li>
</ul>
</td>
</tr>
<tr class="work_row">
<td class="work_col_1">
<a href="https://github.com/sankhya10/Variational-autoencoders/tree/master" target="_blank"><img src="assets/img/sample-004800.png" class="img-fluid" alt="">
</a>
</td>
<td class="work_col_2">
<h3>Variational Auto encoders and decoders on Pokemon Dataset</h3>
<ul>
<li>We will use a multi-layer perceptron to implement the encoder </li>
<li>The decoder is implemented as a sequence of transposed and regular convolutions</li>
</ul>
</td>
</tr>
<tr class="work_row">
<td class="work_col_1">
<a href="https://public.tableau.com/profile/sankhya.singh1981#!/vizhome/medical_16122675406260/Dashboard1" target="_blank"><img src="assets/img/sample200.png" class="img-fluid" alt="">
</a>
</td>
<td class="work_col_2">
<h3> Smoking status of percentage of population using tableau on medical dataset</h3>
<ul>
<li>The first sheet illustrates the smoking status of people of different ages</li>
<li>The second sheet shows smoking with respect married status </li>
<li>We also observed that people with high blood pressure can also result in high cholestrol level </li>
</ul>
</td>
</tr>
<tr class="work_row">
<td class="work_col_1">
<a href="https://github.com/sankhya10/Exceptions_in_defeasiblelogic" target="_blank"><img src="assets/img/phase.PNG" class="img-fluid" alt="">
</a>
</td>
<td class="work_col_2">
<h3> Exceptions in Defeasible logic</h3>
<ul>
<li>The project is my thesis project in Advance computing</li>
<li>Allowing exceptions in knowledge base could help in examining the laws which can have exceptions </li>
<li>The exceptions were formally represented using RuleML and solved using SPINDLE (developed by CSIRO) </li>
</ul>
</td>
</tr>
</tbody>
</table>
</div>
</section><!-- End Portfolio Section -->
<!-- ======= Services Section ======= -->
<section id="Videos" class="Videos">
<div class="container">
<div class="section-title">
<h2>Videos</h2>
<p>The following videos were recorded for the course of Intro to statistical machine earning (Australian national university) .</p>
</div>
<table class="featured-work_table">
<tbody>
<tr class="work_row">
<td class="work_col_1">
<iframe width="420" height="315"
src="https://www.youtube.com/embed/JoLNuPoOLSo" frameborder="0" allowfullscreen>
</iframe>
</td>
<td class="work_col_2">
<h3>A detailed lecture on Support Vector machines (SVM) </h3>
<ul>
<li>Intuition regarding Large margin classifier </li>
<li>Soft margin classifier and association with kernel methods</li>
<li>Sequential Minimal optimisation</li>
</ul>
</td>
</tr>
<tr class="work_row">
<td class="work_col_1">
<iframe width="420" height="315"
src="https://www.youtube.com/embed/siv_PsyrWSg"frameborder="0" allowfullscreen>
</iframe>
</td>
<td class="work_col_2">
<h3>Overview on Kernel methods</h3>
<ul>
<li>Explanation of kernel method using bias-variance tradeoff </li>
<li>Intuition behind kernel trick</li>
<li>Kernel functions and properties </li>
</ul>
</td>
</tr>
</tbody>
</table>
</div>
</section><!-- End Services Section -->
<!-- ======= Contact Section ======= -->
<section id="contact" class="contact">
<div class="container">
<div class="section-title">
<h2>Contact</h2>
</div>
<div class="row" data-aos="fade-in">
<div class="col-lg-5 d-flex align-items-stretch">
<div class="info">
<div class="address">
<i class="icofont-google-map"></i>
<h4>Location:</h4>
<p>Canberra, Australian Capitol Territory ,2601</p>
</div>
<div class="email">
<i class="icofont-envelope"></i>
<h4>Email:</h4>
<p>[email protected]</p>
</div>
</div>
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© Copyright <strong><span>iPortfolio</span></strong>
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