My Interests
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I originate from India, a land recognized for its harmonious blend of unity in diversity and regarded as the world's largest democracy. I am a dedicated reader with a profound interest in Indian history and the freedom struggle movement. Beyond borders, my fascination extends to 20th-century global events, particularly in the realms of war and politics, exploring their profound impact on shaping the world. A cinephile at heart, I delve into the captivating filmography of visionary directors such as Ridley Scott, Mani Ratnam, and RGV. Additionally, I find inspiration in the world of superheroes, with a particular admiration for Batman, the Dark Knight, as the guardian of Gotham and a stalwart leader in the Justice League
Hello! I'm Santosh Ainumpudi
A Data Analyst and Business Consultant with a background in Electrical Engineering. Leveraging 6.5 years of experience in the industry, I bring a unique perspective to problem-solving and data analysis. Adept in SQL, Python, and data visualization tools, I excel in optimizing databases and designing insightful reports, as showcased in projects. With a keen eye for detail and strong interpersonal skills developed in the IT industry, I am an effective team player and negotiator. Eager to contribute my skills to business analysis, I am passionate about continuous learning and making meaningful contributions to any team.
EDUCATION
2022-2023
Master's Degree in Business Analytics and Information Systems
UNIVERSITY OF SOUTH FLORIDA
During my master's program, I acquired expertise in a range of subjects including Data Visualization, Distributed Information Systems, Data Science Programming, Advanced Information Systems Analysis and Design, Data Mining, Advanced Database Management
2012-2016
P.V.P Siddhartha Institute of Technology
I gained comprehensive knowledge and skills in Electrical engineering during my bachelor's degree, covering areas such as circuit design, systems analysis, and electronic devices.
Bachelor's Degree in Electrical and Electronics Engineering
EXPERIENCE
2023-Present
University of South Florida
Data Analyst
Utilized SQL, database design, and Power BI skills to extract and transform data for analysis and reporting, recently optimizing databases to achieve a 40% faster run-time.
2021-2022
IBM
Research Data Analyst
Developed a Maximo application UI to manage asset life-cycles, automated data loads and scripts in Maximo with Python improving efficiency by 42%, and created Power BI dashboards to track KPIs and sales margins.
2019 -2021
Infosys
Senior Analyst
Developed a Purchase Order supply chain system in Maximo enabling fast delivery, led a 4-person team as Scrum Master to implement radioactive setups improving checkouts by 33%, and created Tableau visualizations to reveal historical data trends.
2016-2019
Tech Mahindra Ltd
Data Systems Engineer
Built and shared weekly reports to improve efficiency, optimized SQL queries to reduce extraction time by 10%, conducted user research to understand behavior and feedback, validate hypotheses, and prioritize a product roadmap.
SKILLS
Languages
C Programming
HTML5/CSS
SQL
R Programming
JavaScript
Data Visualization
Tableau
Power BI
Qlik Sense
Supply Chain Management
Tools
Maximo 7.6
GIT
Jupyter
Azure Devops
JIRA
PROJECTS
Data Visualization
E-Commerce Website Development
Shifting Dynamics of War and Peace Since 1945," delves into the post-World War II era, examining global conflicts' patterns and consequences. Through extensive data analysis, the project explores the historical context, human costs, and economic impacts of wars, utilizing visualizations to convey insights
As a seasoned web developer, I am proficient in a variety of programming languages, including HTML5/CSS3, JavaScript. I developed an e-commerce web application focused on providing a seamless online shopping experience to users.
Data Mining and Analysis
Executed a data quality check with a simple inspection of data using Exploratory Data Analysis (EDA) and predict the best model to predict the Employee turnover of a company and my skills involved using SQL and Python. Employee retention models predicts turnover probability rather than classification