Software Developer

Samyak Jain

iamsamyak.live

***************@*****.*** 968-***-****

EDUCATION

TEERTHANKAR MAHAVEER

UNIVERSITY

Moradabad 2017 - 2021

B.tech in Computer Science

College Computing Science & IT

Cum. GPA: 8.3 / 10.0

SAINTDOMINICSAVIOSCHOOL

Lalitpur

12th - ISC Board, 2017

10th - ICSE Board, 2015

LINKS

Portfolio:// SamyakJain

Github:// iamsamyak

LinkedIn:// iamsamyak

GeeksforGeeks:// @iamsamyak

COURSEWORK

GRADUATE

Data Structures

Algorithms

Object-Oriented Programming

Mathematics

Supervised Machine Learning

Database Management Systems

SKILLS

PROGRAMMING

Over 5000 lines:

C • C++ • Python

Tools:

• VS Code • Anaconda •Vim, Linux

Familiar:

• SQL

OTHER SKILLS

•Problem Solving

• Critical Thinking

• Detail Oriented.

• Teamwork and Collaboration

• Writing Technical Articles

@GeeksForGeeks

TRAINING

PYTHON PROGRAMMING Rostan Technologies PVT Limited May - June 2020 Gurugram

• Learns about the variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

• Learns how to override built-in methods and how to create ”inherited” classes that reuse functionality.

• Enhance a data analysis with Applied Supervised Machine Learning using Numpy, Pandas, Matplotlib and Seaborn Python Libraries.

• Implemented the Concept of Supervised Machine Learning and created a Classification Model named - ”Titanic Survival Prediction Analysis”. RELEVANT COURSES

INTRODUCTION TO LINUX, THE LINUX FOUNDATION EDX

March 2021 Remote

Explores the various tools and techniques commonly used by Linux system administrators and end users to achieve their day-to-day work in a Linux environment.

PYTHON BASICS FOR DATA SCIENCE EDX

Mar 2021 Remote

Learns how to operate on files to read and write data in Python and works on pandas, a must have package for anyone attempting data analysis in Python. DATA STRUCTURES SPECIALIZATION Coursera

Feb 2021 - Present Remote

Focuses on primary topics like asymptotic (”Big-oh”) notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts) and tree data structures (Binary Search Tree).

PROJECTS

TITANIC - MACHINE LEARNING FROM DISASTER

Supervised Machine Learning, Python April 2021

The sinking of the Titanic is one of the most infamous shipwrecks in history. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew.

Implement a predictive model that answers the question: “What sorts of people were more likely to survive ?” using passenger data. Implemented using Classification Technique - Decision tree algorithm.

HOWMUCHDIDITRAIN

Supervised Machine Learning, Python Feb 2021

Rain gauges can be an effective measurement tool for a specific location, but it is impossible to have them everywhere. We are given snapshots of polarimetric radar values and asked to predict the hourly rain gauge. Implement a predictive model that answers the question: “How much does it rain ?” using data. Implemented using Regression Technique - Linear Regression.

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