Nityam C
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Software Engineer/Data Scientist Preferred Title
$20.00 /hr $ 30.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
Interview Scores (3.2/5) - Software Engineering Process 2.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 3.0/5
- Technical Strength 3.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 3.0/5
- English Communication 5.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone Android
- Member Since May 29, 2022
- Profile Last Updated Sep 20, 2022
- Last Activity Sept. 20, 2022, 5:32 p.m. UTC
- Location India
- Current Status Student
Profile Summary
I am self-motivated to challenge the limits, with a constant drive to explore new ideas and create new solutions. Computer Science to me is an unending endeavor for opportunities and a means to deliver utilitarian projects. Over the past three years, under the guidance of my faculty, I have enhanced my skills in various programming languages and domains. Being an active communicator and team member, I am open to listening and learning from various stakeholders.
Skills
Total Experience: 2+ years
Numpy (2E, 3Y)
2 experiences, across 3 yearsJupyter (2E, 3Y)
2 experiences, across 3 yearsData Analytics (2E, 3Y)
2 experiences, across 3 yearsPandas (2Y)
2 years of experienceData visualization (2Y)
2 years of experienceApache Spark (2Y, 1C)
2 years of experience, with 1 courseApache Hadoop (2Y, 1C)
2 years of experience, with 1 courseDeep learning
Machine learning
scikit-learn
Natural language processing
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 4h PST, 20h UTC
Day
Sunday
Friday
Saturday
UTC
04 - 13
11 - 17
04 - 13
PST
21 - 06
04 - 10
21 - 06
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- English Communication
- Documentation
Experience
Student
Passion Project
Aug 2021 - Sep 2022
PES University Company
Technology Industry
Project: Covid Data Analysis
- This project involved the analysis of the Covid data obtained from the covid19.org website in India. This project was implemented on a Jupyter notebook.
- Extensive use of Data Analytics and Data Visualization skills were involved to drive this project to completion. Libraries like Pandas, Numpy, etc were also used.
Student
Internship
Aug 2020 - Mar 2021
Centre For Cloud Computing and Big Data Company
Technology Industry
Project: Spark Streaming
- This project involved using a spam dataset to classify mail/text as spam or not spam. The classifiers used were SGD, Naive Bayes, Gaussian Naive Bayes, and Passive Aggressive Classifier.
- This project involved taking data on the fly using Apache Spark, streaming, and analyzing the same using Machine Learning models.
Student
Internship
Aug 2020 - Mar 2021
Centre For Cloud Computing and Big Data Company
Technology Industry
Project: Page Rank
- This project involved ranking pages (each page represented a number and each number had a link to another). Apache Hadoop was used to perform the page rank operation on a large scale of data.
- It contained 2 mappers and reducers to perform the tasks. An iterative approach was used to mark the end of the operation and come up with the final page ranks.
Student
Course Project
Apr 2020 - Jun 2020
PES University Company
Technology Industry
Project: Stock Price Prediction with Sentiment Analysis
- This project involved the use of Data Analytics, Machine Learning, and Deep Learning models. I managed to sync the sentiment of the stock (using Natural Language Processing) along with stock prices.
- All of these functionalities were implemented on a Jupyter notebook. It also involved the use of libraries like Pandas, Numpy, scikit-learn, etc.