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Nityam C - Numpy developer
Member since:May 29, 2022
Profile last updated:Sep 20, 2022
Last activity:Sept. 20, 2022, 5:32 p.m. UTC
LD Interview score: 3.3 / 5
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Nityam C

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:    ·   ·   ·   ·   ·   ·   ·    ·    ·    ·    · 
Weekly Availability: 24 hours
Sun04 - 1320 - 05
Fri11 - 1703 - 09
Sat04 - 1320 - 05

Hourly Rate:$20.00
Experience:2+ yrs
Numpy:1+ yrs
Jupyter:1+ yrs
Data Analytics:1+ yrs
Pandas:1+ yrs
Data visualization:1+ yrs
Apache Spark:1 yrs
Apache Hadoop:1 yrs
Engineer's Devices:


PES University     Covid Data Analysis     Student     Passion Project
Aug 2021 - Sep 2022

  • This project involved the analysis of the Covid data obtained from the 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.

Skills used: Data Analytics, Numpy, Pandas, Jupyter, Data visualization

Link to the github:
Centre For Cloud Computing and Big Data     Spark Streaming     Student     Internship
Aug 2020 - Mar 2021

  • 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.

Skills used: Apache Spark

Link to the github:
Centre For Cloud Computing and Big Data     Page Rank     Student     Internship
Aug 2020 - Mar 2021

  • 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.

Skills used: Apache Hadoop

Link to the github:
PES University     Stock Price Prediction with Sentiment Analysis     Student     Course Project
Apr 2020 - Jun 2020

  • 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.

Skills used: Data Analytics, Deep learning, Numpy, Natural language processing, Jupyter, scikit-learn, Machine learning

Link to the github:


PES University    B. Tech  (Computer Science)
Aug 2019 - Aug 2023


Big Data    PES University
Aug 2021 - Dec 2022
Skills learnt: Apache Hadoop, Apache Spark