Data Analysis
Project
Tableau
Projects
Me
Welcome to my Bhavana profile! I'm Bhavana Pansare, a dynamic Data Analyst currently pursuing my MSc in Data Analytics at Queen's University Belfast. With a rich background in data manipulation, visualization, and machine learning, I bring a unique blend of analytical prowess and strategic insight to the table.
🚀 Professional Journey:
During my tenure at Emtec Inc., I played a pivotal role in driving data-driven decision-making through comprehensive analysis and innovative dashboard development. My proficiency in Python, R, and SQL allowed me to efficiently handle large datasets, optimize data quality, and uncover actionable insights to support strategic initiatives.
📈 Data-Driven Excellence:
I'm passionate about harnessing the power of data to drive excellence and innovation. From spearheading electricity market analytics at Energia Group to pioneering satellite data-driven greenspace classification at Deloitte, I've consistently delivered impactful solutions that have propelled business growth and informed strategic decisions.
📚 Academic Pursuit:
My academic journey at Queen's University has further fueled my passion for data analytics and provided me with the opportunity to deepen my knowledge in areas such as machine learning, big data, and database management. I'm committed to staying at the forefront of industry trends and continuously honing my skills to drive meaningful impact.
🌟 Let's Connect:
I'm always eager to connect with fellow data enthusiasts, industry professionals, and academics who share my passion for data analytics. Whether you're looking to discuss cutting-edge data strategies, explore collaboration opportunities, or simply exchange insights, I'd love to hear from you. Let's embark on a journey of data-driven discovery together!
Skills
Excel
PowerBI
MySQL
Machine Learning
Web Development
Machine Learning & Big Data
Data Storytelling
Microsoft Ensuite
Data Analyst.
Queen's University Belfast, Northern Ireland
MGM College of Engineering and Technology, Mumbai, India
CGPA: 9.22 / 10.00
Core Modules: Computer Organization & Architecture, Operating Systems, Statistics, Computer Networks, Big Data, Machine Learning, Database Management System, Data Mining, Business Analytics, Python Programming
Emtec Technologies, Pune, India
Incisiv, Belfast, Northern Ireland
Projects
The Energia Group has provided us with the dataset of Electricity Industry in the All Island (AI), Northern Ireland (NI), and the Republic of Ireland (IE) for each type of renewable sources of energy including Wind Energy, Solar Energy, and Hydro Energy. The given dataset was analysed by plotting different graphs to understand the data and gain insights. Later, the data was pre-processed and cleaned using the Python programming language in Jupyter Notebook.
Deloitte has provided a challenge for Analytathon 2 for classifying greenspaces within the Belfast area utilizing the dataset of Sentinel Images. The data is generated from the Sentinel-2 L2A Satellite with high-resolution images from the satellite covering an area of 10 meters. Greenspaces include various areas of green vegetation, such as parks, forests, and street trees. The goal of this challenge is to use machine learning algorithms such as supervised classification or deep learning techniques, to accurately label the greenspaces areas in the provided image dataset. So, to address the problem, we divided the solution into different parts. The first part involves exploring the data by printing the images and labels to gain more insights into the dataset. Following this, we prepared a scene classification mask. Later, we split the dataset into train, test, and validation datasets. Consequently, we applied different machine learning models and selected the best model by analysing the results, of the model which accurately classifies the greenspaces.
The Analytathon Challenge aims to evaluate the financial impact of Hurricane Ian on properties insured by KDC Property Insurance. In this we need to find two things first, calculating the maximum inherent cost of destruction for properties at high risk of hurricane damage, and second, identifying the most affected geographic areas. By utilizing the shapefile for the hurricane path and property data, we need to determine the cost implications of building, contents, and outbuildings coverage for properties located in the most endangered ZIP codes. The results of this analysis will play a vital role in planning and risk management within KDC Property Insurance.
& Certificate
Emtec Excellence Award
Data Visualization with power BI Great Learning
KPMG Internship
Exploratory Data Analysis in R
Machine Learning for Time Series Data in Python
Intermediate R
Introduction to Data Analytics for Business
Google Cloud Fundamentals
Project Management
Advance Python
