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Gitanjali Gadakh

@gitanjali.gadakh

Business Analyst at Capgemini

Maharashtra, India

https://www.linkedin.com/in/gitanjali-gadakh-22b851213

CapgeminiBVCOEW

Gitanjali Gadakh is a Business Analyst at Capgemini with experience managing and analyzing data for international business units across Europe, developing Power BI dashboards, and working with SQL and MongoDB for database management. She holds a Bachelor of Engineering in Computer Engineering with honours in Data Science from BVCOEW (8.93 CGPA) and has prior experience as a data science intern. Her technical skills include Python, Power BI, SQL, Excel, machine learning, and deep learning.

Experience

Business Analyst

Capgemini

Full-time•Dec 2023 - Present

Worked on the E-Monitoring tool, managing, processing, and analyzing data from various business units including France, UK, Italy, Germany, Spain, Belgium, and Nordics. Responsible for gathering requirements, facilitating communication, and providing ongoing support to clients. Utilized advanced Excel functions for data analysis, developed interactive dashboards, visualizations, and reports using Power BI. Worked with SQL and MongoDB for database management and data querying.

Data Science & Machine Learning Intern

TwoWaits

•Oct 2021 - Nov 2021

Developed projects in Data Science & Machine Learning: COVID 19 Data Analysis, Google Stock Price Prediction, Zomato Data Analysis, Malaria Detection, ANN Digit Recognition, Amazon Review Sentiment Analysis.

Machine Learning Trainee

Internshala

•Aug 2021 - Sep 2021

Developed and deployed a highly accurate House Price Prediction System using Machine Learning algorithms; achieved an average prediction accuracy of 91%.

Education

BVCOEW

Bachelor of Engineering

Computer Engineering

Jan 2020 - Jun 2023•Grade: 8.93 CGPA

Completed a Bachelor's degree with honors in Data Science over two academic years.

Government Polytechnic Ahmednagar

Diploma

Computer Engineering

Jul 2017 - May 2020•Grade: 89.37%

Skills

Python
Data Science
Machine Learning
Deep Learning
Natural Language Processing
AI
Statistics
Data Mining
Java
SQL
PLSQL
C++
Computer Network
Data Analysis
Data Preprocessing
Feature Engineering
Supervised Learning
Unsupervised Learning
Regression
Classification
Clustering
Decision Tree
Random Forest
KNN
K-means Clustering
ANN
CNN
RNN
Power BI
Excel
MongoDB