Hello,

I am Rahul Singh.
A Master Student at Gannon University.

  • I am a Data Science Enthusiast.
  • My professional objective is to maximize the ROI by bridging the gap between Business and Data.
  • I enjoy finding Optimal solutions to complex business problems.
  • I enjoy communicating and sharing my ideas.
  • My greatest strength is the ability to adapt in the fast-paced environment.
  • I am a quick learner and I deep dive into the things I learn.

My Experience

2022, August

Research Assistant, Gannon University
  • Successfully trained and qualified a reinforcement learning-powered race car for two rounds in the AWS Deep Racer Competition, achieving an impressive time of 2.32 minutes.
  • Mentored and facilitated lab sessions for 10 undergraduate students, providing effective guidance in the practical application of reinforcement learning techniques.
  • Employed the AWS-Robomaker simulation environment to refine the Deep Racer model and collaborated with a team to optimize its hyperparameters using Bayesian optimization and grid search techniques, resulting in an impressive improvement of approximately 30% in lap times and a notable reduction of 10% in variability.
  • Significantly improved the drone's performance and capabilities by utilizing the Opti-track system in conjunction with the CRAZYFLIE drone to capture highly precise motion data.
  • The integration of comprehensive datasets collected through the Opti-Track system resulted in approximately 36% enhancement in the drone's overall performance.

2021, Oct

Student Assistant, Gannon University
  • Utilizes ImageNow software to scan and file confidential international student documents, ensuring proper organization and security, representing 15% of the role.
  • Demonstrates proficiency in Microsoft Excel (VLOOKUP, SUMIF, INDEX-MATCH, Pivot chart) to create and manage spreadsheets, perform data analysis, and generate reports, contributing to 30% of the role.

2020, August

Python Developer, Make my Clinic private Ltd
  • Work closely with the clinic's team to understand their e-commerce needs and develop software solutions that meet those needs
  • Design e-commerce platforms for the clinic's products and services using Python and related frameworks such as Django or Flask
  • Collaborate with front-end developers to integrate e-commerce platforms with the clinic's website or mobile app
  • Develop integrations with third-party services such as payment processors, shipping providers, and electronic health record systems
  • Optimize e-commerce platform performance through efficient code and server configuration

Skills

Technical Skills

  • Languages
    → Python
    → C++
    → Javascript
    → SQL

  • Maching Learning and Deep Learning
    → Regression and Tree Models
    → Neural Networks
    → NLP
    → sklearn, pandas, numpy, pyspark

  • Tools
    → VSCode
    → Colab and Anaconda
    → Pycharm
    → Docker

  • BI-Tools
    → PowerBI
    → Tableau

  • Databases
    → PostgresSQL
    → Basics of MongoDB

  • MLOps/DevOps
    → Airflow
    → Jenkins

Personal Skills

  • Possess the quality of a Good Story Teller.

  • Team Player with effective communication skills.

  • Ability to think of parallel solutions to the complex issues.

Projects

Thyroid Detection

  • The goal of the project is to create a prediction system that can determine whether a patient has a high or low risk of developing thyroid disease.
  • Major disorders may develop in either situation when the thyroid gland functions either above or below normal levels (hyperthyroidism with high hormone levels versus hypothyroidism with low hormone levels)

Wafer Fault Detection

A wafer is a thin slice of semiconductor material used in the manufacture of integrated circuits and solar cells. In the existing situation, if a wafer is damaged, an individual must inspect every wafer available to identify the damaged one

Heart Failure Detection

Heart Failure occurs when the heart cannot pump enough blood to support the organs in the body [CDC]. Using machine learning classifiers, a patient's survival can be predicted based on important clinical features. Correlation analysis K-Means clustering Agglomerative hierarchical clustering Principle component analysis II. Heart failure prediction

Web Scrapping

Online reviews from customers have created a new pace in marketing communication. The word of mouth from the customer and a published review can influence the customer's opinion. Review scraping is the process of extracting review content from the website using bots. The web scraper is used to find data underlying in the HTML. And then extract & save the review data in a structured format.

Certificates

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