Sahil Sangani

Sahil Sangani

Software Engineer

Hello, I’m Sahil Sangani.

Experienced software engineer with a strong background in Python, Golang, Docker, Kubernetes, and various databases such as PostgreSQL, VerticaDB, and MySQL. Proficient in AWS services and adept at developing REST APIs. Skilled in monitoring and observability using Prometheus and Grafana. Additionally, possesses knowledge of Machine Learning and MLOps. With over 2 years of industry experience, I have successfully delivered high-quality software solutions and contributed to the development and maintenance of complex systems. Seeking challenging opportunities to further enhance my skills and make a significant impact in the field of software engineering.

I would love to connect with new people and hear from them. Let’s have a short meeting or schedule a call if you have any concerns.

Feel free to contact me on sahil.sangani03@gmail.com or (+1) 416-989-5247.

Download my resume.

Interests
  • Software Development
  • Data Engineering
  • Data Analysis
  • Machine Learning
  • Natural Language Processing
  • Text Analysis
Education

  • Master of Applied Computing - Artificial Intelligence Stream, 2019-20

    University of Windsor, Windsor, Canada

  • Bachelor of Engineering in Information Technology, 2015-19

    Gujarat Technological University, Gujarat, India

Skills

Python

Proficient

Golang

Intermediate

Java

Intermediate

SQL

Proficient

Docker

Intermediate

Kubernetes

Intermediate

AWS

Intermediate

GCP

Beginner

Gitlab

Intermediate

Mage

Beginner

Tableau

Beginner

Looker

Beginner

Flask Framework

Proficient

HTML5

Proficient

CSS3

Proficient

JavaScript

Intermediate

Bootstrap

Intermediate

R

Beginner

Statistics

Beginner

Experience

 
 
 
 
 
Software Engineer
Sanvine
Jun 2021 – Present Canada
 
 
 
 
 
Data Scientist Intern
SalonEverywhere
Jan 2021 – Apr 2021 Canada
 
 
 
 
 
Software Developer Intern
University of Windsor
Sep 2020 – Dec 2020 Canada
 
 
 
 
 
Intern
Softvan Pvt. Ltd.
Oct 2018 – Mar 2019 India

Certifications

Learn Docker By Doing
Cloud Guru Feb 2023
See certificate
AWS Certified Cloud Practioner
Udemy Feb 2023
See certificate
Apache PySpark by Example
Linkedin Learning Mar 2021
See certificate
Learning R
Linkedin Learning Nov 2020
Python Automation and testing
Linkedin Learning Apr 2020
AWS Fundamentals - Going Cloud-Native
Coursera Mar 2020
See certificate
Spark - Level 1
IBM Mar 2020
See certificate
Hadoop Foundation - Level 1
IBM Mar 2020
See certificate
Learning MongoDB
Linkedin Learning Feb 2020
Databases for Node.js developers
Linkedin Learning Feb 2020
Learning NoSQL Databases
Linkedin Learning Jan 2020
pandas Essential Training
Linkedin Learning Jan 2020
Introduction to MongoDB
Coursera Jun 2019
See certificate
Using Python to Access Web Data
Coursera Feb 2019
See certificate
Programming for Everybody (Getting Started with Python)
Coursera Feb 2019
See certificate
Python Data Structures
Coursera Feb 2019
See certificate

Projects

*
All Software Developement Data Analysis ML/DL Data Engineering NLP BI Tools Other
WeatherWise
Weather Metrics REST API
Code
WeatherWise
LinkNinja
URL Shortener
Code
LinkNinja
Uber Data Analytics
Data Analytics and Dashboard on Uber’s Trip Dataset
Code
Uber Data Analytics
Anomaly Detection Time Series Data
Anomalies detection using keras and tensorflaw in S&P 500 dataset.
Code
Anomaly Detection Time Series Data
COVID - 19 Simulator
The spread of COVID-19 simulation is created using MESA library in this project. As a reference, SIR mathematical model for virus spread is used, which is type of compartmental model to represent the growth of agents ( Here, Positive/Negative/Suspected People) based on the differential equations.
Code
COVID - 19 Simulator
News Scrapper and Sentiment Analysis
In this project, I have scrapped news from google news using selenium and store the headlines as well as content of the news in a corpus folder. Then, I have done sentiment analysis on it used stopwords for learning purpose.
Code
News Scrapper and Sentiment Analysis
Dice Game
A small multiple client server dice game to demonstrate workings of socket programming in C.
Code
Dice Game
IPL Winner Prediction
Data Analysis for IPL matches from 2008 - 2019 and predicting winner using SVM classifier.
Code
IPL Winner Prediction
Cataract Detection
Cataract is the most widespread causes of blindness. Early detection or precautions could reduce the suffering from cataract to the patients and mitigate the visual disability from turning into total blindness. But the cost may cause difficulties to everybody’s early interventions, because the expertise trained eye specialists cannot be afforded by everyone. Based on the data provided on Kaggle.com, we are trying to build a model that predict whether the patient is suffering from cataract or not.
PDF Code
Cataract Detection
UWinEmotions
Developed a website for the audience of the University of Windsor, using Flask framework and Firebase as as data storage. User can submit their emotion at specific time and as specific location. Moreover, they can visualise the emotions on the map.
Code
UWinEmotions
Web Search Engine
The Web Search Engine is developed using various concepts such as HTML to Text string tokenizer, Edit Distance, Modified Boyer Moore with Quick Sort, HashSet, and Regex.
Code
Web Search Engine
Cheque Clearance System
The extensive use of cheques in daily life make the advancement of the conventional cheque clearing method. “Cheque Clearing System” is a portal which renders smooth, effective and convenient clearing of cheques. It enables to deal with different banks transaction. Receiver cashier can upload the scanned copy of cheque issued by another bank or same bank further clearance done by the admins with the verification of the sender bank. This system is developed using Python Flask Framework, HTML, CSS, Bootstarp, Google Vision API, MySQL, and Machine Learning algorithm SVM.
Code
Cheque Clearance System
COVID-19 Dashboard
COVID-19 dashboard provides information on COVID-19 cases status worldwide. It describes the daily number of cases, the top 10 countries by deaths and confirmed cases, and mortality rate. I have also included a heat map on the world to illustrates the most affected country by COVID-19.
Code
COVID-19 Dashboard

Contact