Machine Learning Data Science

AVINASH YARRAPOTHU **********.************@*****.*** 682-***-****

Data Engineer Business Analyst Data Analyst LinkedIn Wichita, KS Education:

Master of Science, Data Science May 2024

Wichita State University, KS GPA – 3.37

Bachelor of Technology, Computer Science July 2021 PVP Siddhartha Institute of Technology, India GPA – 3.00 Skills:

Python, Java, C, MATLAB (Basic), MS Power BI, Tableau, MS Excel, MS PowerPoint, MS Word. Projects:

Adidas Total US Sales Analysis Project

• Analyzed Adidas total US sales, utilizing advanced analytical tools.

• Presented findings and recommendations to stakeholders.

• Collaborated on optimizing sales strategies.

Sentiment Analysis Project

• Utilizing sentiment analysis, we aim to predict human reactions from text posts, aiding product quality improvement and buying decisions.

• Conventional Machine Learning Classifiers:

• Employ Naïve Bayes, KNN, SVM, and Decision Tree models.

• Evaluate improvements in metrics at each stage.

Ferrellgas Service Operations Optimization

• Currently, all deliveries in the Kansas City service center originate from one unit.

• Led a team to optimize delivery and service operations for Ferrellgas in Kansas City by implementing multiple service units.

• Utilized K-Means Clustering to identify areas for efficiency improvement.

• Proposed solutions to reduce costs associated with driving time and miles. Time Series Data Denoising Using Auto Encoders

• Investigated the application of autoencoders in denoising time-series data, emphasizing robustness and efficiency in signal reconstruction.

• Developed and implemented a deep learning architecture to encode and decode expressive features, minimizing noise presence.

• Explored the impact of hyperparameters on model optimization and behavior.

• Presented findings promising results in noise reduction and signal clarity. Chatbot for Healthcare System Using Artificial Intelligence

• The outcome of this project is that it will diagnose the disease and provide the relevant medicines if it was severe. It will help to have an appointment with a doctor. Change Detection in Sensing Images

• The Outcome of this project is to Identify the difference between two images captured at same loc in different time series and analyze the change more accurately. We can use this to predicate the changes in the world prone areas. Certifications:

• Applied Machine Learning: Feature Engineering

• SQL for Exploratory Data Analysis

• Learning Data Visualization

• Attended workshop on “Problem solving and Programming in Python.”

• Participated workshop on “Blockchain Concepts and Implementations.”

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