Data Analyst Machine Learning

Prudvi Siddanathi

Ħ +1-210-***-**** ć ******.************@*****.*** ] linkedin.com/in/prudvisiddanathi/ Personal Profile

Passionate Data Analyst with 2.5 years of experience in executing data driven solutions to increase efficiency, accuracy and utility of internal data processing. Proven track record of delivering high volume and valuable insights. Persuasive communicator and exceptional relationship man agement skills with an ability to relate to people at any level of research and management. Proficient in working with globally based business stakeholders independently.

Education

The University of Texas at San Antonio San Antonio, US Masters in Computer Science August 2023 May 2025

• GPA : 3.87

• Courses: Data Science, Data Mining, Computer Architecture, Operating Systems, Deep Learning, Analysis of Algorithms, Large Scale Data Man agement, Artificial Intellingence, Cloud Computing Andhra University College of Engineering Visakhapatnam, India BTech in Electronics and Communications Engineering June 2016 April 2020

• Graduated 6.97 GPA

• Courses: C, Data Structures, Switching Theory and Logic Design, Computer Architecture Organisation, Microprocessors and Micro Controllers, Computer Network Engineering, Electronic Devices and Circuits, Cellular Mobile Communications, Digital Signal Processing Work Experience

The University of Texas at San Antonio San Antonio, US Graduate Teaching Assistant September 2023 Present

• Working as Graduate Teaching Assistant in the Department of Information and Cyber Security, UTSA.

• Guided students through complex technical concepts, offered one on one mentoring, developed supplementary learning materials, main tained academic integrity, evaluated student performance, and meticulously recorded coursework assessments. Tata Consultancy Services Hyderabad, India

Data Analyst January 2021 August 2023

• Worked as Data Analyst for Nestle a client based in Switzerland, who is leading company in Consumer Packaged Goods Domain.

• Leveraged Microsoft Azure Data Factory, SQL Server Management Studio, Power BI, Excel, and Power Apps to develop and implement data storage, modeling, and visualization solutions.

• Analyzed client data to generate critical business insights and key performance indicators (KPIs) that drove strategic decision making.

• Developed and delivered high impact Power BI Dashboards, enabling comprehensive analysis of business performance, identification of im provement areas, and implementation of new initiatives.

• Streamlined and optimized data import processes for Power BI, resulting in a significant reduction in Azure cloud storage costs

• Collaboratedcloselywithbusinessstakeholders,providing valuable insights duringbusinessdiscussionsandcontributingtostrategicplanning.

• Enhanced process efficiency and ensured seamless project transitions, leading to improved outcomes.

• Developed and implemented system enhancements that reduced data pipeline run time by 50% significantly improving processing efficiency.

• Partnered with the scheduling team to automate daily tasks, minimizing manual interventionduringpeakperiodsandmaximizingoperational efficiency. Received positive feedback for contributions and deliverables.

• Led and managed a team of 8 in the development and deployment of a critical Power BI dashboard. This dashboard proved to be a game changer for the client, resulting in global adoption and significantly impacting business operations. This feat was appreciated by presenting us with a Best Team Award.

• Technical Skills: Microsoft Power BI, SQL, Azure Data Factory, Microsoft Excel, Microsoft Power Apps University Projects

Used Car Price Prediction using Machine Learning San Antonio, Texas University of Texas at San Antonio June 2024 August 2024

• Developed a machine learning based solution to address the challenge of inaccurate and inconsistent used car pricing by utilized a variety of algorithms, including Linear Regression, Random Forest, Support Vector Machine, Decision Tree, and XGBoost.

• Project involved concepts like Data Collection and Preprocessing, Feature Engineering, Data Preparation, Model Development and Evaluation

• Best results during the evaluation phase indicated the successful completion and deployment of the project.

• Technical Skills: Python, Machine Learning, Data Science. 1

Machine Learning with Spark Classification of Iris Dataset San Antonio, Texas University of Texas at San Antonio August 2024 December 2024

• Developed a machine learning based Cloud Computing Project which demonstrated strong skills in Python, Cloud Computing, Spark and Hadoop HDFS.

• Development included implementation of a multi class classification algorithm by setting up a Spark cluster of virtual machines, use of Spark MLlib, Hadoop HDFS and execution of RDD based Python code in AWS cloud

• Technical Skills: Python, Machine Learning, Cloud Computing, Spark, Hadoop HDFS. Skills

Technical Power BI, SQL, Python, JAVA, HTML/CSS, Cloud Computing, C, Basic Concepts of UNIX, AWS Fundamentals, Power Apps Soft Skills Time Management, Teamwork, Problem solving, Documentation, Engaging Presentation. 2

Contact this candidate