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💫 About Me:

👋 Hello, I'm Rishabh Verma!

I hold an MBA in Marketing from the Institute of Engineering and Technology, Lucknow and bring a unique blend of business acumen and technical skills to the table. With a strong foundation in marketing and recent experience as an Account Health Support Analyst at Amazon, Hyderabad, I have successfully leveraged tools such as SQL, Advanced Excel, and Tableau to drive data-driven decision-making.

  • 🏢 Currently exploring new opportunities in the field of Data Science or Data Engineering.
  • 🚀 Former Account Health Support Analyst at Amazon, Hyderabad.

🚀 Technical Skills

- 💻 Proficient in Python, SQL, and Advanced Excel.
- 📊 Skilled in data visualization tools such as Power BI and Tableau.

🌱 Learning Journey

- 📈 Actively pursuing a career transition into Data Science and Data Engineering.
- 📚 Constantly learning and staying updated on the latest developments in the field.

🎯 Career Goals

My journey in the intersection of business and technology has been both exciting and transformative. Looking forward, my career goals are centered around leveraging my unique blend of business acumen and technical expertise to make a meaningful impact in the field of Data Science and Data Engineering.

  1. Mastering Data Science Techniques: I am committed to honing my skills in Data Science, delving deeper into machine learning, statistical analysis, and predictive modeling. I aim to become proficient in advanced algorithms, staying at the forefront of technological advancements in the ever-evolving field of data.

  2. Contributing to Business Intelligence: With a background in Marketing and an MBA in Marketing from the Institute of Engineering and Technology, I aspire to bring a strategic and data-driven approach to business intelligence. My goal is to utilize data analytics to enhance decision-making processes, optimize marketing strategies, and drive business growth.

  3. Continuous Learning and Innovation: The tech landscape is dynamic, and I am dedicated to continuous learning. Whether it's exploring emerging technologies, participating in data science competitions, or collaborating on open-source projects, I am committed to staying curious and innovative.

  4. Transitioning to Data Engineering: Alongside Data Science, I am keen on exploring the realm of Data Engineering. I aim to enhance my skills in building robust data pipelines, optimizing data architecture, and ensuring the seamless flow of data for effective analysis.

  5. Contributing to the Community: As my knowledge and expertise grow, I look forward to giving back to the community. This includes sharing insights, participating in knowledge-sharing forums, and mentoring aspiring data professionals.

Through these goals, my vision is to be a versatile and impactful professional, contributing to the synergy between data and business strategy. I am excited about the challenges and opportunities that lie ahead and am open to collaborations that align with these aspirations.

🌐 Socials:

LinkedIn

Contact

📱+91-7007643254 📧[email protected]

💻 Tech Stack:

Python MySQL Pandas Matplotlib

📊 GitHub Stats:



Rishabh Verma's Projects

advance-excel icon advance-excel

Explore advanced Excel techniques, from powerful data analysis and dynamic formulas, in this comprehensive repository for elevating your spreadsheet skills."

certificates icon certificates

This GitHub repository is dedicated to cataloging and showcasing my proficiency across a diverse array of skills and domains. From technical competencies to soft skills and professional achievements, this collection serves as a testament to my commitment to continuous learning and personal development.

datasets icon datasets

This repository contains all the datasets used for assignments and projects.

foodsurveyanalysis icon foodsurveyanalysis

Analysizing the raw data captured through a survey for the most frequent food items consumed during Covid

healthcare-heart-disease-capstone icon healthcare-heart-disease-capstone

In this repository, we will be dealing with the Heart disease dataset and will analyze, predict the result whether the patient has heart disease or normal, i.e. Heart disease prediction using Machine Learning.

insurance-prediction-model icon insurance-prediction-model

A GitHub repository hosting an insurance prediction model employing Decision Tree, Random Forest, and KNN algorithms, with KNN achieving the highest accuracy score of 87.7% and tested for response on unseen data.

linear-regression icon linear-regression

In this repository, you'll find the source code, dataset used for training, and comprehensive documentation to understand and implement linear regression.

my-sql icon my-sql

Explore a collection of SQL scripts and database queries designed to streamline and optimize data management. From database creation and schema design to complex queries, this repository provides a versatile toolkit for efficiently handling relational databases.

project_using_knn icon project_using_knn

Welcome to the KNN (K-Nearest Neighbors) Classifier project repository! This project implements the KNN algorithm, a versatile and intuitive machine learning algorithm used for classification and regression tasks.

python icon python

This repository is a compilation of some of the best project ideas in Python to practice your skills.

tableau-projects icon tableau-projects

Welcome to my Tableau Projects Repository! Here, you'll find a collection of engaging and insightful data visualizations created using Tableau.

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