Hello, My name is Shanu Mathew
I' m a Machine Learning Developer
I'm a passionate Machine Learning Developer, Data Scientist, and Web Developer pursuing a BTech degree. Skilled in designing ML models, data analysis, and web development, I thrive on creating useful AI solutions. Continuously learning and staying up-to-date with tech trends, I aim to make a positive impact on society. A collaborative team player, I excel in communication and embrace challenges. Ready to innovate and contribute to the ever-changing tech world in the field of Machine Learning and AI.
Download CV
About Me
I'm Shanu Mathew and a Machine Learning Developer
As a technology enthusiast and Machine Learning Developer, I am fueled by a deep passion for exploring the possibilities of AI and constantly expanding my knowledge. Books are my ever-present companions, nurturing my love for learning and inspiring my creativity. Delving into the latest tech advancements brings me immense joy. This portfolio is a reflection of my journey, showcasing projects that delve into the world of AI and beyond. Welcome aboard this exciting exploration!🚀
Date of Birth:17th March 2002
Interests:Football, Gaming, Novels
Website:shanu-mathew.github.io
Email:shanutmathew1703@gmail.com
Degree:Btech in CS (Data Science)
City:Indore
Freelance:Available for Projects
Job:Available for Hire
Python
Natural Language Processing
Computer Vision
Data Science
Education
2020-Present
Bachelor in Technology
Medicaps University
I am currently pursuing a Bachelor's in Technology, which has been an enriching experience so far. This program is providing me with a comprehensive understanding of various technological concepts and practical applications. I am constantly engaging in challenging projects and collaborating with peers to enhance my problem-solving abilities and critical thinking skills.
Experience
Sept 2023-Present
Data Scientist Associate
Blackcoffer
At Blackcoffer, I specialized in a diverse range of technologies and applications, including OCR for document processing, intra-day trading models for financial analysis, and automation using Python scripting. I also gained proficiency in database management with MongoDB and cloud computing services like AWS EC2 for scalable and efficient deployment of applications.
Sept 2023-Jan 2024
Junior ML Engineer
Omdena
At Omdena, I collaborated with a diverse team to develop a data-driven model for waste management optimization. I played key roles in the Data Collection and Exploratory Data Analysis (EDA) teams, showcasing strong data science and machine learning skills as a Junior ML Engineer. This experience was valuable in contributing to the project's success and gaining practical insights in a dynamic environment focused on impactful solutions.
Sept 2022-Sept 2023
Managed Network Expert
Chegg Inc
As a dedicated Managed Network Expert at Chegg Inc., my primary responsibility was to provide invaluable assistance to students seeking clarity and understanding on various academic subjects. Leveraging my strong academic background expertise in diverse disciplines, I meticulously addressed students' doubts and queries
June 2022- Aug 2022
Data Science Intern
Corizo
During my tenure at Corizo, I adeptly undertook two pivotal projects. By employing skills in Data Visualization, Cleaning, and Analysis, I facilitated informed decision-making. Additionally, I harnessed simple Machine Learning models to derive valuable insights, thereby significantly enhancing our data-driven capabilities.
Services
Data Analysis
Leveraging advanced statistical techniques and data exploration methods to unearth valuable insights from complex and diverse datasets.
- Language:- Python, R
- Packages:- NumPy, Pandas, Matplotlib, Seaborn
Data Visualisation
Crafting visually appealing data visualizations and intuitive dashboards that facilitate clear comprehension and enable well-informed decision-making.
- Tools:- PowerBI, Tableau, ELK Stack, Looker Studio
- Packages:- Matplotlib, Seaborn, Plotly
Model Development
Harnessing cutting-edge AI technologies and sophisticated algorithms to develop predictive models tailored to address a wide array of industry-specific challenges.
- Libraries: Scikit-Learn, Tensorflow
Web Development
Creating user-friendly web apps with data integration, great user experience, and smooth functionality to boost accessibility and engagement.
- Frontend:- HTML, CSS, Javascript
- Backend:- Flask, Django
Natural Language Processing
Creating user-friendly web apps with data integration, great user experience, and smooth functionality to boost accessibility and engagement.
- Libraries:- NLTK,Spacy
- Pre-trained Models:- BERT
Portfolio
My Projects:-
Movie-Spoiler Shield
A chrome extension equipped with a BERT-based model, designed to filter out spoiler reviews from websites, ensuring a spoiler-free browsing experience.
GitHub Repository
Chat-Vista
AI chatbot built using Streamlit and the Llama2 model, designed to analyze and respond to queries based on uploaded documents with advanced NLP capabilities.
GitHub Repository
Wine-Prediction App
Streamlit-powered Wine Prediction App: Uncork the future! Accurately forecast wine quality with this user-friendly app.
GitHub Repository
Safe Skull App
Unleash the Power of YOLOv8 on our innovative Flask site! Safeguarding adventures with bike helmet detection, making safety seamless.
Github link
Student Score Prediction App
Designed a student score prediction system using ML, Python, Flask, and Docker, incorporating past scores and socio-economic factors for accurate results.
GitHub Repository
OptiGlyph
Elevate your typing experience with intuitive one-handed gestures that effortlessly convert finger motions into text using cutting-edge AI technology. GitHub Repository
Crack Enhancer
Unleashed crack enhancement wizardry using M2GLD Algorithm, Otsu thresholding, Python, OpenCv, and Streamlit, conjuring heightened crack detection.
GitHub Repository