Bhavya Singh

Bhavya Singh

CSE Undergraduate at NIT Arunachal Pradesh

About Me

I am an aspiring Software Engineer and Machine Learning enthusiast with experience in developing ML algorithms, designing web solutions, and contributing to impactful research projects. My achievements include reducing processing time by 30%, earning a Supervised Machine Learning Certification, and obtaining Google Cloud Badges

In my role as a Software Engineering Intern at the Times of India, I developed machine learning algorithms to streamline editorial workflows, enhancing productivity and efficiency. I also designed a gamified webpage solution that boosted social media engagement. My research internships at IIT Guwahati and IIT Patna further honed my skills, where I worked on innovative projects in renewable energy and UAV technologies.

I am passionate about leveraging my skills in software engineering and machine learning to drive innovation. I am looking for opportunities to apply my knowledge and contribute to forward-thinking companies.

skills that I am good at:

  • Machine Learning: Developing and implementing ML algorithms to streamline processes and enhance productivity.
  • Web Development: Designing and developing gamified webpage solutions to boost user engagement.
  • Research: Contributing to high-impact research projects, particularly in the fields of UAV technologies and renewable energy systems.
  • Programming Languages: Proficient in Python, Java, C++, JavaScript, and SQL/MySQL.
  • Frameworks and Tools: Experienced with React.js, Open AI API, Open-CV, and Git/GitHub
  • Leadership and Team Building: Leading teams to success in hackathons and technical competitions, and co-founding initiatives to promote technical education and innovation.

About my team-building skills:

  • Project Leadership: Led the development of a cloud-based solar inspection and analysis system, demonstrating exceptional problem-solving skills and proficiency in cloud-based technologies
  • Team Collaboration: Collaborated with cross-functional teams to design and develop machine learning models, web solutions, and research projects, showcasing ability to work effectively with diverse stakeholders for The Times Of India internships.
  • Innovation: Developed innovative solutions for trust management on unmanned aerial vehicles (UAVs), enhancing security and reliability in UAV operations.
  • Time Management: Streamlined editorial workflows, reducing processing time by 30% using machine learning algorithms, and prioritizing tasks to meet project deadlines.
  • Communication: Effectively communicated complex technical ideas to both technical and non-technical stakeholders, as evident from the successful completion of research projects and internships.
  • Strategic Thinking: Developed a machine learning model to generate a daily news prioritization template, automating headline ranking and categorization, and enhancing editorial decision-making efficiency.

The quote I relate to:
"Tell me and I forget. Teach me and I remember. Involve me and I learn." - Benjamin Franklin
If you feel the same and have a role to involve me in, please get in touch.

Work Experience

Times Of India June 2024- June 2024

Delhi | India

Worked on Use of AI in the Newsroom.

  • Developed and implemented machine learning algorithms, streamlining editorial workflows and reducing processing time by 30%, enhancing productivity and efficiency for editors and journalists.
  • Designed and developed a gamified webpage solution, enhancing user experience and boosting social media engagement.
  • Leveraged machine learning and Open AI API to develop a model for automate pre-write generation for repetitive news articles, freeing up journalists time .
  • Utilised machine learning and Open-CV image processing to develop a model replicating AJIT NINAN's cartoon style, preserving his legacy and sentiments, and perpetuating his artistic identity for generations to come.
  • Developed a machine learning model utilizing Open-AI API to generate a daily news prioritisation template, automating headline ranking and categorization, and enhancing editorial decision-making efficiency.
Language Used: HTML, Tailwind-CSS,Bootstrap, JavaScript, React, Machine Learning(diffuser & transformer algorithms)
Platform/IDE used: VS Code, IntelliJ IDEA, Google collab noteboook


Research Intern | IIT- Guwahati | June 2024 – July 2024

NERERL | North East Renewable Energy Research Lab

Worked on Cloud-based Solar inspection and analysis system.

  • Ongoing internship at North-East Renewable Energy Research Lab, contributing to the completion of "Cloud-based Solar Inspection and Analysis System" project, showcasing technical expertise and innovative mindset.
  • Implemented fault detection and performance prediction models to develop a machine learning model that delivers 85% accuracy.
  • Designed and fabricated the "Cloud-based Solar Inspection and Analysis System", demonstrating exceptional problem-solving skills and proficiency in cloud-based technologies, resulting in significant project success.
  • Developed a webpage solution to check fault in solar panels directly from website, enhancing user experience and boosting customer reliability.
Technology Stack: Machine Learning Algorithms(CNN,RNN AND SVCL),HTML, CSS,Bootstrap, JavaScript
Platform/IDE used:Visual Studio code, Google Collar


Winter Research Intern | IIT-Patna January 2024 - February 2024

Patna,Bihar

Worked on Trust-Management for UAV-as-a-Service.

  • Studied IEEE journal papers on UAV-as-a-Service, UAV Virtualization, and FOG Computing, gaining expertise in cutting edge UAV technologies.
  • Applied knowledge from research papers to develop innovative solutions for Trust Management on Unmanned Aerial Vehicles, enhancing security and reliability in UAV operations and develop a machine learning model with 80% accuracy.
  • Contributed to a research paper (pending publication) on Trust Management in UAVs, demonstrating expertise in UAV technology and research.
Technology Stack: Python, Pandas, Numpy
Platform/IDE used: Google Collab


Intern : JAVA Developer | November 2023 - December 2023

OASIS INFOBYTES | Virtual Internship

  • Developed a user-centric ATM application interface using Java, focusing on secure transactional functionalities such as balance inquiries, fund transfers, and mini statements. Integrated advanced encryption techniques and secure session management to protect user data
  • Created a dynamic Java-based number guessing game with adaptive difficulty algorithms to provide a challenging and engaging user experience. Designed an intuitive user interface with features like hint systems, score tracking, and leaderboards.
Technology Stack: Java
Platform/IDE used:IntelliJ IDEA

Projects

TIC TAC TOE game with AI

Developed an AI Based web Application of the famous Tic Tac Toe Game. Used and Implemented the MINIMAX algorithm for the computer to choose the optimal moves.

Technology Stack: HTML,CSS(Tailwind),Bootstrap, JavaScript.


Stock Market Analysis And Prediction Using Python.

Used XGBoost regressor to forecast market performance after computing technical indicators from 10 years of S&P BSE Sensex data. Demonstrated skills in data analysis, machine learning forecasting, and technical indicator computation using OHLC values to predict trends. Highlighted expertise in financial analysis and predictive modeling by using data insights for informed investment decisions.

Technology Stack: Python 3.6,Numpy,Pandas,Xgboost,Sklearn,Plotly,Stldecompose


Wine Quality Prediction Using Machine Learning Algorithms

Developed a method to classify wine quality into 'good', 'average', or 'poor' categories based on characteristics such as pH and alcohol content. Predicted quality ratings with values below 6 as 'poor', exactly 6 as 'average', and above 6 as 'good', showcasing skills in data analysis and classification.

Technology tack:Python3, Jupyter Notebook, Random Forest Regressor,Hyperparameter Tuning.


Netflix Clone

The Netflix Clone project replicates the user interface of Netflix, allowing users to browse and view details of movies and TV shows. It features a responsive design with an emphasis on visual appeal and user experience.

Technology Stack: HTML, CSS, JavaScript


Amazon Clone

The Amazon Clone project replicates the Amazon website's user interface using HTML and CSS, focusing on navigation bars, product displays, and footer sections. It aims to provide a responsive and visually accurate representation of the Amazon website.

Technology tack: HTML,CSS