Hasbeena

Thrissur - Kerala 0+ yrs exp 77 · Very Good

About

Motivated and analytical B.Sc. Mathematics graduate with a strong foundation in data analysis, machine learning, and statistical problem-solving. Skilled in Python, R, SQL, Excel, and data visualization tools, along with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, and Keras. Experienced in building machine learning models, deploying AI applications using Streamlit and Hugging Face, and developing interactive dashboards through real-world projects and internship experience. Passionate about transforming data into meaningful insights and delivering data-driven solutions to solve real-world business problems.

Skills & Expertise (31)

Python Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Microsoft Excel Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

scikit-learn Intermediate

6.0/10

Years Exp

Seaborn Intermediate

5.5/10

Years Exp

PyTorch Intermediate

5.5/10

Years Exp

XGBoost Intermediate

5.5/10

Years Exp

TensorFlow Intermediate

5.5/10

Years Exp

Keras Intermediate

5.5/10

Years Exp

Hugging Face Spaces Intermediate

5.0/10

Years Exp

Streamlit Intermediate

5.0/10

Years Exp

OpenCV Intermediate

5.0/10

Years Exp

Tableau Intermediate

5.0/10

Years Exp

DAX Intermediate

5.0/10

Years Exp

PyCharm Intermediate

5.0/10

Years Exp

MySQL WorkBench Intermediate

5.0/10

Years Exp

Power BI Intermediate

5.0/10

Years Exp

Analytical Thinking Problem Solving Communication Team Collaboration Attention to Detail Presentation Skills

Work Experience

Data Scientist Intern

Techolas Technologies

Jun 2025 - Apr 2026

Collected, cleaned, and pre-processed real-world datasets using Python libraries such as Pandas and NumPy. Performed exploratory data analysis (EDA) and data visualization to identify trends, patterns, and actionable insights. Worked on machine learning and deep learning tasks involving data preprocessing, model development, and evaluation. Supported end-to-end analytical workflows and gained hands-on experience in practical data science problem solving.