Data Science Graduate
Python | SQL | Data Analytics | Machine Learning | Clinical Data Validation
Tamil Nadu, India
I am a Data Science graduate with a background in Computer Science and hands-on experience in Data Analytics, Machine Learning, Clinical Data Validation, and Software Development through internships and academic projects.
I enjoy transforming data into meaningful insights, developing machine learning solutions, and continuously learning new technologies to solve real-world problems.
- Interested in Data Analytics, Machine Learning, and AI
- Python, SQL, Power BI
- Clinical Data Validation (SDTM, Pinnacle21, Kwalify)
- Continuously improving my Python, SQL, and Data Analytics skills
- Open to Data Analyst, Data Science, Clinical Data Analyst, and Healthcare Analytics opportunities
- Python
- SQL
- R (Basic)
- Scikit-learn
- TensorFlow / Keras
- CNN
- BiLSTM
- XGBoost
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Power BI
- Microsoft Excel
- MySQL
- MongoDB
- GraphDB
- Flask
- HTML
- CSS
- JavaScript
- Git
- GitHub
- Jupyter Notebook
- Databricks (Basic)
- Pinnacle21
- Kwalify
- Developed a hybrid deep learning model for sensor-based human activity recognition.
- Achieved 96.41% Accuracy and 0.9672 F1-score on the KU-HAR dataset.
- Developed a Flask-based web application with multilingual OCR support.
- Integrated Tesseract OCR, MySQL, and MongoDB for efficient manuscript management.
- Compared LSTM, Random Forest, and XGBoost models using historical Adani stock data.
- Achieved an R² Score of 0.9299 using the LSTM model.
- IBM – Databases and SQL for Data Science (Coursera)
- Deloitte Data Analytics Job Simulation (Forage)
- Elements of AI
- Cybersecurity Fundamentals
- Full Stack Development
Email: [email protected]
LinkedIn:
https://linkedin.com/in/mangais20
GitHub:
https://github.com/MangaiS20
Thank you for visiting my profile. Feel free to explore my repositories and connect with me.