Introduction

I am Shreya Ramachandra, a Data Analyst, driven to deliver clear, data-driven recommendations that help organizations overcome their most critical challenges. I am a graduate of the University of Windsor, where I earned my Master's degree in Electrical and Computer Engineering.

From an early stage in my education, I discovered a passion for problem-solving, which led me to work as a math tutor. This experience helped me to develop my skills in analytical thinking. My ultimate goal is to apply my problem-solving, analytical, and data-storytelling skills for delivering actionable business decisions.

Experience

I have worked on projects that aimed at understanding business models. I utilized exploratory data analysis (EDA) techniques to create a tableau dashboard consisting of 20+ data visualizations to communicate business key insights. Developed 5+ strategies to enhance customer engagement of the bank using Excel, Python, Power BI and PowerPoint.

My skill set includes working with large datasets and utilizing data manipulation and analysis tools like V-Lookup and pivot charts. Performed data cleaning and data extraction, achieving 95% accuracy in the analysis and improving sales volume using SQL and visualizing the insights on the Tableau dashboard.

To enhance my data skills, I have:

  • Enrolled in online courses on platforms like Kaggle, DataCamp, Udemy, and Coursera to learn new skills.
  • Practiced coding skills on HackerRank and Leetcode.
  • Participated in webinars to remain informed about the current developments and emerging trends in the data industry.
  • Worked on personal projects to gain additional experience.
  • Collaborated with data enthusiasts in group projects and work towards achieving shared goals.

Portfolio Projects

Cross-selling Bank Recommendation

Tools: Python, Excel, Power Query, Tableau

Utilized data manipulation techniques to analyze a large dataset, and developed actionable strategies to enhance client engagement and drive business growth.

Go-to-market Strategy Cab investment firm

Tools: Python, PowerPoint Presentation

Conducted Exploratory Data Analysis (EDA) on the data of two cab firms and created informative data visualizations, to generate valuable investment recommendations.

Customer Analytics Project (e-commerce business)

Tools: SQL and Python

Extracted and cleaned data from two distinct sources, and offered insights to the stakeholders to drive data-informed decisions for enhancing the brand profit.

Deployment of Salary prediction model on AWS

Tools: Python, AWS EC2 Instance, Ubuntu server, Puttygen, WinSCP

Developed a salary prediction model and optimized its deployment time by implementing HTML Flask code on an AWS EC2 Instance.

Prediction model using supervised Machine learning

Tools: Python

Utilized Scikit-Learn's train_test_split() method to create a score prediction model for students, which predicts their grades based on the number of hours they studied.

Skills

Skills: SQL, Python, Excel, Power Query, Power BI, Tableau, PowerPoint, AWS EC2 Instance

Databases & Project Management: Microsoft SQL Server, PostgreSQL, Agile, Software Development Life Cycle (SDLC)