Excel
Project
PowerBI
Projects
SQL
Project
Python
Project
Me
Hello! I'm an aspiring Data Analyst with a background in Computer Science and MBA in Finance. ππΌ
I spent two and a half years at Sonata Software as a Business Analyst: Finance/Finance Functional Consultant. This experience really helped me understand how important data is in making good business decisions. I haven't worked as a data analyst yet, but I've done a lot of business projects on data analytics. You can see these projects in my portfolio below. ππ¨βπ»
I'm skilled in using tools like Excel, PowerBI, SQL, and Python to look at data and find useful information. My education and work experience have given me a unique view of how to use data in business.
Take a look at my portfolio to see how I use data to solve problems and make better decisions. I'm excited to start my journey in data analytics and make a difference! ππ
Skills
Excel
PowerBI
SQL
STAKE HOLDER MANAGEMENT
EFFECTIVE PRESENTATION
PROBLEM SOLVING
python
Projects
AtliQ Hardware encountered difficulties in handling data within Excel. The objective was to transition from Excel to Power BI for improved data comprehension, with the goal of gaining insights into finance, sales, and supply chain areas. The data volume amounted to 1.8 million entries, and the tools
This project exemplifies the profound impact data can have on the hospitality sector, exploring crucial metrics such as Revenue, ADR, RevPAR, Occupancy%, Realization%, Cancellation%, DBRN, DSRN, and more.
π Problem Tackled: Addressing the challenges of Excel's file size constraints, enhancing decision-making processes, and streamlining operations through MySQL analytics.
"AtliQ Grands faced intense competition, resulting in a decline in revenue. Recognizing the need for data-driven strategic insights, they lacked internal expertise. My goal is to perform an in-depth analysis using Python, equipping AtliQ Grands with valuable insights for enhancing customer retention
π **Project Overview:**
The Bank Loan Report was designed to monitor and evaluate our bank's lending processes. It serves as a tool to make data-driven decisions, enhancing our understanding of the bank's loan portfolio health.
Pinali Mandalia, HR at AtliQ Technologies, a data solutions firm, provided anonymized but real employee attendance data over a three-month period. This dataset included attendance key codes. The goal is to develop a dashboard to address HR-related queries and offering insights