A passionate data professional with expertise in data engineering, machine learning, and business intelligence, dedicated to transforming complex data into actionable insights. With experience in building high-accuracy AI models, optimizing time-series forecasting, and automating data pipelines, the focus remains on enhancing operational efficiency and driving business impact. Having worked across industries in roles that involved predictive modeling, data visualization, and cloud technologies, there is a strong commitment to leveraging data for informed decision-making. Beyond analytics, interests extend to AI in IoT, aerospace, and content creation, constantly exploring innovative solutions to real-world challenges.
0 + Projects completed
Data professional with over five years of experience spanning data engineering, data science, and AI engineering. Skilled in building predictive models, automated data pipelines, and production-ready AI solutions, with a strong track record of translating complex data into measurable business outcomes.
Awards: Best Student Leader for enhancing cultural diversity on campus & Best Student Event of the Year 2024.
Below is some of my work across Data Science, AI, SQL, Python, Power BI & ML.
Developed a facial recognition system on Raspberry Pi that enables seamless communication between heterogeneous IoT devices through a central server, allowing data sharing and collaborative task execution. Published at IEEE ICESC 2020.
Conducted exploratory data analysis and built regression and random forest models to predict marketing campaign success, enabling data-driven optimization of financial institution strategies.
Implemented a text-to-image generation system using Stable Diffusion in Python, leveraging deep learning for high-quality image synthesis from textual descriptions.
Developed a pharmaceutical sales forecasting model using ARIMA to predict product demand over time, enabling data-driven inventory and supply chain management.
An interactive Credit Card Financial Dashboard using Power BI, SQL, and DAX to uncover insights on revenue, customer behavior, and spending trends.
A multi-modal NVIDIA Nemotron agent for accessibility that minimizes cognitive struggle (dyslexia, ADHD) by transforming complex input into clear checklists, focused summaries, and decoded text in real time via NIM.
A Python/Pygame "Arcade Edition" of Exploding Kittens featuring complex AI bots powered by Gemini AI, with custom animation logic and a responsive neon retro-arcade UI.
Below are the details to reach out to me!
Fort Worth, TX, USA