Yogita Darade

Senior Data Analytics Engineer at CoreBTS

About Me

I am a determined and committed individual, always eager to learn and hungry for new knowledge and currently working as a Senior Data Analytics Engineer in CoreBTS. With a background of 10 years working as a backend Oracle developer, module leader, and project manager, I took a sabbatical to explore new opportunities. My passion for data led me to transition into Data Science, and I successfully completed my Post Graduation in Data Science and Business Analytics from The University of Texas, Austin in 2021. Upon completion, I re-entered the workforce as a Data Engineer and have since gained over two years of expertise as a DataEngineer.

My curosity to know more about ETL,data ingestion pipeline ,data warehouses drived me towards an Internship at Cubic Corporation. Joined as an intern, with my fast pace learning skills I took up responsibilty of Lead Data Engineer on a project and then successfully transitioned into a Senior Datangineer at CoreBTS.I have hands on experience in using Azure Data lake, Azure Key Vault, Azure Databricks, Azure Data Factory, Azure Synapse, Logic Apps, Azure Functions,Event Grids and Azure DevOps. I am thoroughly enjoying getting back to coding with a focus on acquiring datasets that align with business needs ,build, test, and maintain database pipeline.

Projects


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Web Scrapping Glassdoor Website

The objective of this project is to find out current vacancies in Rancho Cordova. I have used Python,Panda, Beautiful Soup libraries.These insights will help Economic department of Rancho Cordova to Economic Department of the city to build a skilled workforce that spurs business competitiveness and economic growth.

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Travel Package Prediction for Travel Company

The objective of this project is to predict customers who would buy traveling package. The project used Python ,Pandas ,Matplotlib ,Seaborn ,Sklearn ,XGBoost libraries. I did data analysis, performed EDA, checked for missing values and developed an accurate model which predict customers who would buy travel package. For detailed analysis, insights and recommendation click below.

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Statistical Analysis for Insurance Company

In this project I used statistical analysis and visualizations to study customer's health information like smoking habits, BMI, age, gender, etc. and to check statistical evidence to make informed decisions for health insurance charges. This project used Python,Pandas, Scipy and Stat Model libraries.For detailed analysis, insights and recommendation click below.

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Case Study for Cardio Good Fitness

The objective of this project was to generate a customer profile based on there characteristics of buying different products. These insights would help the company target new customers.The project was created in Python and used Pandas,Matplotlib,Seaborn libraries. I did Exploratory data analysis and visualization. For detailed analysis, insights and recommendation click below

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