Nityam C
The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles.
Software Engineer/Data Scientist Preferred Title
$20.00 /hr $ 30.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
Vetting Summary - Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Software Engineering Process 2.0/5
- Technical Breadth 4.0/5
- Algorithmic Thinking 3.0/5
- Technical Strength 3.0/5
- Teamwork 3.0/5
- Intellectual Merit 3.0/5
- English Communication 5.0/5
- 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, 1Y)
2 experiences, 1 yearJupyter (2E, 1Y)
2 experiences, 1 yearData Analytics (2E, 1Y)
2 experiences, 1 yearPandas (1E, 1Y)
1 experience, 1 yearData visualization (1E, 1Y)
1 experience, 1 yearApache Spark (1E, 1Y)
1 experience, 1 yearApache Hadoop (1E, 1Y)
1 experience, 1 yearNatural language processing (1E, < 1Y)
1 experience, less than a yearDeep learning (1E, < 1Y)
1 experience, less than a yearMachine learning (1E, < 1Y)
1 experience, less than a yearscikit-learn (1E, < 1Y)
1 experience, less than a year
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
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
Experience
Student
Passion Project
Aug 2021 - Sep 2022
PES University Company
Technology Industry
Project: Covid Data Analysis
- Data Analytics
- Numpy
- Pandas
- Jupyter
- Data visualization
- 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
- Apache Spark
- 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
- Apache Hadoop
- 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
- Data Analytics
- Deep learning
- Numpy
- Natural language processing
- Jupyter
- scikit-learn
- Machine learning
- 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.
Qualifications
Education
PES University
Aug 2019 - Aug 2023
B. Tech (Computer Science)
Courses
Big Data
Aug 2021 - Dec 2022
PES University
- Apache Hadoop
- Apache Spark