I am passionate about Data Science and love exploring data to find insights, solve problems, and build intelligent solutions. Along with that, I have solid experience in Frontend Development—creating clean, responsive, and interactive web applications. I enjoy combining both skill sets to build smart and user-friendly digital experiences that are not only functional but also meaningful. I am currently attending the Data Science and AI Bootcamp at Le Wagon Amsterdam, where I am refining my skills in machine learning, deep learning, NLP, and data engineering.
- Programming Languages: Python, SQL, ReactJS, VueJS, JavaScript, CSS
- Machine Learning & AI: Scikit-learn, TensorFlow, Keras, PyTorch
- Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly
- Deep Learning: Neural Networks, LSTMs, CNNs, Transformers
- NLP: SpaCy, NLTK, Word2Vec, LDA, Hugging Face Models
- Time Series Analysis: ARIMA, Prophet, LSTMs
- Big Data & Cloud: Google Cloud Platform (GCP), AWS (Basics), PySpark
- Software & Tools: Git, Docker, Streamlit, Flask, FastAPI, MySQL, OpenCV, SQLite, Mathematica, COMSOL, Lumerical
- Developing a real-time anomaly detection system for credit card transactions and stock prices.
- Deploying a web application to display model predictions and insights.
- Using machine learning & deep learning techniques for fraud detection and financial forecasting.
- Built and integrated a fare prediction feature into a taxi app to estimate the cost of conventional taxi rides.
- The feature enables users to input any start and end locations and receive an accurate fare estimate, enhancing the app’s value with real-time price insights.
- Implemented advanced regression techniques to predict house prices.
- Optimized a Neural Network model to improve performance.
- Feature engineering, data cleaning, and hyperparameter tuning.
- Implemented advanced regression techniques to predict house prices.
- Optimized a Neural Network model to improve performance.
- Feature engineering, data cleaning, and hyperparameter tuning.
• Project - Mission Journey Orchestrator is a web based application, designed to seamlessly manage the chaos of setting up shop on another planet. • Application supports adding, editing, and managing mission details and crew assignments. • Thisis built on JavaScript, ReactJS, Redux, React Hooks, React Router, SCSS, BootStrap, BEM.
• Advanced version of Movie Basic app. • App shows upcoming, popular, latest movies and shows details of it . • User can also search for their desired movie & get. • This was made possible by JavaScript, React 18, MovieDB, Tailwind CSS.
• Project - Find Your Coach is a web based application, build to find your coach. • The application includes features such as listing all coaches, creating new coach profiles, allowing users to request contact with coaches, viewing coach details, and filtering coaches by type. • This is implemented using JavaScript, Vue.js, Vuex, Vue Router, Vue style.
- GitHub: github.com/manjuprem12
- LinkedIn: linkedin.com/in/manju-prem-272093b7
- Expanding my expertise in MLOps & Model Deployment.
- Working on real-world AI applications in finance and fraud detection.
- Seeking opportunities to collaborate on open-source projects.
I want to combine sports with analytics! 🏋️♂️📊
📌 Let's connect and innovate together! 🚀