Dhanraj Sahu
Email : sahudhanraj13100144@gmail.com
About Me
I am an IIT Roorkee alumnus currently working as a Big Data Engineer at Intuit. I am passionate about solving real world problems by building new algorithms. I have experience of working with Big data technologies and have also developed projects and done POCs using them. I also have experience in Data Warehousing principles, designing ETLs and Data Marts, Queries optimisation, Data Analysis, etc. I have developed pipeline monitoring projects using software design principless. I also have interest in competitive programming. I am well versed with advanced data structures and algorithms.
Skills
C++
CPython - Java
Scala
PHP
Git 
Sublime Text
LinuxMac Windows 
AWS- Maven
Pycharm
Android Studio
Eclipse
DB Visualizer
Tidal Enterprise Scheduler- Jenkins
Spring Boot
Django
BIG DATA TOOLS AND DATA WAREHOUSES
Vertica
Hive
Spark
Splunk
Hadoop
Experience
Intuit
Software Engineer
Location : Bengaluru,India
Duration : Jul. 2019 - Present
Worked on reducing time complexity of long running queries from 1-2 hours to few minutes or even seconds. Built a Unified Monitoring Dashboard which greatly reduced burden of Data Engineering Team of keeping track of so many things from different sources. Received Engineering Excellence Award for Unified Monitoring Dashboard. Built pipelines which ingested large scale data to Data Warehouse. Got special mention award for Data SLA Predictor.
CSAHealthBox Technologies Pvt. Ltd.
Backend Developer Intern (Remote Intern)
Location : Bengaluru,India
Duration : sep. 2018 - Dec. 2018
Implemented feedback classification using Naive Bayes algorithm to calculate sentiments. Built Rest API's and created stored procedures. Implemented Localization for the complete website in four languages - Tamil, Malayalam, Hindi and English.
Intuit
Software Developer Intern
Location : Bengaluru,India
Duration : May 2018 - Jul. 2018
Built a framework to bring Operational Excellence, in Mint data pipelines, with Automation using Alerts and Notification in form of PagerDuty mails, Outlook mails, etc. , and Dashboard for visualization using Splunk. Moved cron jobs from Rundeck to Tidal, figuring out dependencies between by going through sql files.
mBreath
Android Develoer Intern
Location : STEP IIT Kharagpur, West Bengal
Duration : May 2017 - Jul. 2017
Built an Android Application for vocally interacting with their product SleepDoc+ using Alexa Voice Service API, using Observer and Singleton Desgin Patterns. Developed a new Alexa skill for their product through Alexa Skill Kit using AWS lambda service. Developed a multiple Alarm system in the Android Application.
Open Source Contributions
Contributed to following open source projects. Learnt how to maintain a large codebase, coding standard, new technologies, etc.
Project : fossasia /
phimpme-android
These are my contributions to the project.
Project : fossasia /
open-event-droidgen
These are my contributions to the project.
Projects
Open Source Projects
These are some projects which I created by learning from various sources and wanted to share with the community.
Competitive Programming
Recently developed interest in competitive programming and wanted to share my learnings with the community. This project includes advanced data structure (such as Segment Tree, Heavy Light Decomposition, etc. ) questions/solutions and links of their blogs, and coding contests solutions.
Alexa-Voice-Service
Developed this project as part of my intern-project in mBreath Technologies Pvt. Ltd. . Later I thought of sharing it with the community.
CustomCiruclarProgressBar
Developed this project with curiosity to learn how to create a custom view in Android.
HitTheMouse
Developed this game in curiosity of learning to draw on canvas and how we can build simple games with simple algorithms.
LenDen
Developed this project as an effort of creating an application with same functionality as Splitwise. Also, learnt the fundamentals of a database while creating this application.
PlayMySong
It was my first Android tutorial application. Learnt working with APIs and various views of Android like list, navigation tab, etc.
Academic Projects
These are my academic projects.
Brain Tumor detection through MRI Images (BTech. Project)
Built a model for detecting brain tumor from MRI scans. The model used U-net architecture based on Convolutional Neural Network. Our model was able to achieve comparable results and in some cases better results with other models winning the BraTS contests.
Professor : DR. R. BALASUBRAMANIAN
Building detection on Satellite Images
Built a building detection model for very high resolution remote sensing data, based U-net Arch. of fully Convolutional Neural Network. Obtained an overall F-Score (Accuracy) of 0.52 on data set of 40 images.
Professor : DR. BIPLAB BANERJEE
E-commerce Website - Classroom Shoppers
Built the optimal database design of e-commerce website using MySQL and connected it to the website using Nodejs in Express js Framework.
Professor : PROF. RANITA BISWAS
Check Your Emotions
Developed an Android Application for detecting the emotions depicted by the image captured or selected from the mobile storage. The application suggest ways to improve that emotion. Used the Emotion API of Microsoft Cognitive Services.
Professor : PROF. SANDEEP KUMAR GARG
Education
Indian Institute of Technology Roorkee
Bachelor of Technology
Computer Science and Engineering
Duration : 2015 - 2019
CGPA - 7.988
Shiv Jyoti Senior Secondary School, Kota, Rajasthan
CBSE
PCM
Duration : 2013 - 2015
Board Percentage - 91.6%
St. Mary's Senior Secondary School, Banda, U.P.
CBSE
Duration : 2001 - 2013
10th CGPA - 10.0