About
Aspiring Data Scientist with a strong academic foundation in Statistics, Mathematics, and Data Analytics. Completed MSc in Statistics with Data Analytics and currently undergoing a Python Data Science internship at Luminar Technilabs. Hands-on experience in data analysis, visualization, and basic machine learning through academic projects, research internship, and professional training. Highly motivated, quick learner, and eager to contribute to a data-driven organization.
Skills & Expertise (22)
Work Experience
Python Data Science Intern
Luminar Technilabs
Ongoing - Present
Hands-on training in Python, data analysis, and machine learning. Working with real-world datasets for cleaning, visualization, and interpretation. Practicing Pandas, NumPy, Matplotlib, SQL, and basic ML models.
Project Intern
KSCSTE–NATPAC
Apr 2025 - May 2025
Assisted in data analysis and spatial modeling for transportation planning. Worked with real-world crash and road network datasets.
Education
MSc in Statistics (Data Analytics) - Mar Ivanios College (Autonomous), Thiruvananthapuram
2023 - 2025 · Afghanistan
BSc in Mathematics - Mar Ivanios College (Autonomous), Thiruvananthapuram
2020 - 2023 · Afghanistan
Certifications
What is Data Science?
IBM · 2025
Define data science and its importance in today’s data-driven world.
Tools for Data Science?
IBM · 2025
Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools Utilize languages commonly used by data scientists like Python, R, and SQL Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features Create and manage source code for data science using Git repositories and GitHub.
Data Science Methodology
IBM · 2025
Describe what a data science methodology is and why data scientists need a methodology. Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study. Evaluate which analytic model is appropriate among predictive, descriptive, and classification models used to analyze a case study. Determine appropriate data sources for your data science analysis methodology.
Data Analyst & Business Intelligence (Python, BI, Tableau, SQL)
Udemy · 2025
Completed training in data analysis, visualization, and business intelligence using Python, SQL, Tableau, and BI tools. Focused on data cleaning, analysis, and converting data into actionable business insights.
AI for All Program
CBSE, Digital India & Intel · 2025
Completed foundational training in Artificial Intelligence concepts, including AI applications, ethics, and real-world problem-solving. Gained awareness of emerging AI technologies and their impact across industries.
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