Data analysis professional prepared to deliver impactful insights and drive business decisions. Adept in data visualization, statistical analysis, and database management, with strong focus on teamwork and adaptability. Known for reliability, analytical thinking, and results-driven approach. Skilled in Python, R, SQL, Tableau, Power BI and Excel, ensuring robust data solutions and strategic recommendations. Actively seeking a challenging position to utilize education of 2years of IT data analysis skills.
ACHIEVEMENTS AND PROJECTS
PYTHON:
taskManager.py- to help small business manage tasks.
inventory.py – to help businesses on stock management.
DATA ANALYTICS AND EXPLORATION ebookstore.py – Modified to using database and SQL.
Hotel_booking_analysis.ipynb– perform EDA of given hotel bookings dataset. EDA on Vedio Games sales - perform an EDA on video games dataset.
MACHINE LEARNING:
Mnist_task.ipynb– using Linear, Multi-Linear and Logistics regressions, and Decisions Trees to train, predict, and plot results.
US-Arrests-KMeans-Agglomerative-Dendrograms.ipynb
- Using the US Arrests dataset applying EDA, Principal Component Analysis, 2 clustering techniques - KMeans & Agglomerative Clustering with Dendogrograms.
* Available on Request