Explorer. Inquisitive one. Wayfaring through the fuzzy multiverse.
Mesmerized by the impact of Science and Technology on the evolution and growth of mankind, the scaling of organizations, and the development of nations.
It has a direct and profoundly implicit influence on the lives of ordinary people.
UPI, 5G, AI, AR, IoT, Deep Learning, e-commerce, the rapid digitization of industries, and renewable energy sources are just a few examples that can revolutionize business operations, people's lives, and the sustainability of Earth, contributing towards achieving the 17 SDGs (Sustainable Development Goals) outlined by the UN.
Aiming to contribute to these goals and help make the world a better place.
"Make this Life Count"
• Participated in expert-led sessions, met weekly targets, & delivered a
capstone project on MERN stack with a presentation.
• Developed a travel booking web application with key features for a
seamless user experience.
• Worked on a ML project spanning 4 milestones: data collection,
pre-processing, model training, UI creation, & documentation.
• Developed a box office prediction web app using Streamlit and Flask,
enhancing technical proficiency [python code].
1 : Main Prog.g language : C++
2 : Secondary : Java lang.
3 : Moderate command : C, Python
1 : HTML CSS JS
2 : NodeJS, ExpressJs, EJS
3 : React basics
1 : ML Lifecycle, ML Classification, Regression Models
2 : DL - FNN, CNN
3 : ML Libraries - Numpy, Pandas, Matplotlib, Seaborn, Scikit learn
1 : Cloud Basics
2 : SQL Moderate knowledge, MongoDB
3 : Linux , GIT knowledge
4 : Agile, Scrum awareness
• Platform for hosting local abodes to provide income avenues for
locals and affordable accommodations for travelers.
• Implemented in three phases: CRUD operations for listings, user
authentication, and review features, along with map integration.
Tech Stack :
Built using Node.js, Express.js, MongoDB, and EJS for a seamless travel booking experience.
• Collected movie data using TMDB API and stored in CSV file. Applied
ML lifecycle steps - data cleaning, transformation, and visualization.
• Built a predictive model using machine learning.
• Designed a UI for revenue predictions with Flask and Streamlit.
Tech Stack :
Python, Streamlit, ML libraries - Numpy, Pandas, Seaborn and Flask.
Developed a mini social media platform with core features: ➤ Add users, send/accept friend requests ➤ View mutual friends ➤ Create and view posts ➤ Like posts, view post likes by username ➤ Follow/unfollow users, view followers/following list
Tech Stack :
C++, DSA.
Utilized Graph Data Structure to model relationships between users, posts, and likes for efficient traversal and queries.
• Used DL models (ANN & CNN) for early detection & classification of
skin cancer types, achieving accuracies of 70.53 % and 76.74 %.
• Identified areas for improvement, such as addressing class & regional
imbalances, usage of synthetic data, & advance DL models.
Tech Stack :
Python, DL models (ANN & CNN), DL libraries - Tensorflow.
• 1000+ lines of code
• Scrolling is implemented to inc. readability.
• GitHub links of projects.
• Certi. links.
Tech Stack :
Created using HTML, CSS, JS.
Issued by IBM
Status: PURSUING*
Issued by AMAZON
Status: PURSUING*
Issued by GOOGLE
Status: PURSUING*
Issued by AWS
Status: PURSUING*
Issued by GOOGLE
Status: PURSUING*
1 : Amazon ML dataset Hackathon, reached in top 800 out of 75000
2 : Secured rank in top 3 in AI Lang ML Dataset Hackathon at NIT T
Solved 1000+ coding ques on platforms like Leetcode, Gfg, CF.
WordPress Dev. Created 2 wordpress pages -
1 : On RBI GRADE B preparation
2 : NIT T - Masters Journey - Tech Explored
Links of Wordpress site ::
1 : https://shreyas22k.wordpress.com/
2 : https://worldofmcanitt.wordpress.com/
1 : AKSHARGYAN CLUB- Coordinated social service efforts arranging educational supplies for children & teaching them
2 : Volunteered in open source event GSSOC :
shreyas21k@gmail.com
+91 9967417894
NIT T
TRICHY
TAMIL NADU 620015