From coding to crunching numbers, I'm Aditya Deshmukh—a tech enthusiast with a knack for turning data into gold. With a passion for problem-solving and a love for all things innovative, I dive deep into the world of software and analytics to drive meaningful change. When I'm not busy unraveling complex algorithms, you can find me exploring the latest trends in technology or perfecting my skills on the football field.
Interested in working together or having a chat? Feel free to contact me.
I am fascinated by the ability to uncover meaningful insights and make data-driven decisions that can drive positive change and innovation.
I enjoy creating impactful solutions that address real-world problems and have a passion for continuous learning and improvement in this dynamic field.
The opportunity to develop intelligent systems that can learn from data and improve over time excites me, as it has the potential to revolutionize industries.
I am drawn to the power of data to drive strategic decisions and improve business performance, helping organizations achieve their goals more effectively.
I am passionate about using data analysis and critical thinking to solve complex problems and drive informed decision-making.
I am motivated by the opportunity to create products that solve customer problems and improve their lives, combining my technical skills with a focus on user needs and business goals.
XSM Baseball | 2023 - Present
Arizona State University | 2022 - 2023
Ernst & Young | 2020 - 2021
Ernst & Young | 2018 - 2020
Arizona State University | 2021 - 2023
SRM University | 2014 - 2018
Created a book recommender system in Python, incorporating Neural Networks and Machine Learning, comparing and analyzing various recommendation algorithms' results, including Collaborative-based, Correlation-based filtering, and a BERT-encoded Neural-Net hybrid model.
Designed engaging visualizations for the 2022 VAST Challenge, using D3.js and Tableau, to unveil insights into urban residents, with Flask, MySQL, and Apache Spark for backend development.
Developed a Tableau dashboard to scrutinize regional sales and profits across the USA.
Analyzed moving object trajectory data using Postgres SQL, Apache Spark, Scala, GeoPandas, and PostGIS, visualized with Deck.gl and PyDeck, applying spatial queries for deeper insights.