Hey Everyone 👋, I'm Ash G

A passionate Data Scienctist From California, United States.

🌱 I’m passionate about Machine Learning & currently learning Artificial Intelligence
👨‍💻 All of my projects are available at https://github.com/ash-0521
👨‍💻 Portfolio Tableau Projects
📫 How to reach me [email protected]
📝 Research Paper associated with Cornell University

About Me!!

👋 Hey there, fellow coders! I'm Ash G, a coding enthusiast with a master's in Information Systems from California State University, Los Angeles and a knack for turning coffee into code. ☕💻. 🚀💻

📚My academic journey has always been delving into a diverse coursework menu - from System Designing to Data Mining, Web Development to Big Data Science, Statistics and Machine Learning! 🧠💡I am constantly learning and evolving with new technologies.🌐🎓

💼 In the professional realm, I've been battling bugs as a Teaching Assistant at CSULA, boosting grades by 15% and slashing failure rates by 20%. Previously, I had weaved a coding magic in the world of Finance as a Data Scientist at UPSTOX, where I've orchestrated 50+ real-time dashboards and harnessed the power of Advanced Excel, Tableau, PowerBI and more. 📊📈

🛠️ As a Software Engineer at Accenture, I deployed scalable data pipelines using Hadoop, Scala, and Python, reducing ETL processing time by 30%. Leading a team of 10 analysts, I navigated the seas of business analysis, ensuring clarity of goals and seamless project execution. 💼💡

💻 Explore my GitHub, "Ensuring Smiles using Spark ML" to witness projects like showcase my PySpark and SQL sorcery. From Adidas sales analysis to E-commerce store databases, I've left my digital mark. 🚀📂

🎓 Beyond the classroom, I've armed myself with certifications like AWS Technical Essential Skills and Google Data Analytics.
🤖 My technical skills include Python, Java, R, SQL, Statistics, Machine Learning Models, Big Data toolkit includes Hadoop, Hive, Spark, TensorFlow, and more. From HTML, CSS to React JS & Django frameworks, databases to cloud platforms AWS, Azure, GCP, I've got it covered. 💬💡 🛠️🚀

💡 Eager to learn and always exploring new technologies, I bring a blend of curiosity and expertise to every project. Let's collaborate, innovate, and create some digital magic together! ✨✨
Feel free to explore my repositories, and let's connect for a coding adventure!
🚀👩‍💻 #CodeDreamer #InnovationEnthusiast
⚡ Fun fact I am an artist

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Ash G's Projects

abandoned-object-detection-in-crowded-environment-using-matlab

Trained MATLAB models for 82% precision/80% recall, optimized with blob analysis for 25% performance boost. User-friendly alarm system with 500+ engaged users.

academimate

Developed AcademiMate chatbot using Azure Language Studio AI framework to address student needs efficiently.

ash-0521

Hello guys, this is my portfolio

coffee-chain-metrics

The Coffee Chain Metric analysis done by operators and investors looking to gain insights into market trends, product performance, and financial performance. The detailed information gained through analysis allows for informed decision-making and the development of effective strategies to grow the business.

ensuring-smiles-using-spark-ml

The primary objective of this study is to explore the feasibility of using machine learning algorithms to classify health insurance plans based on their coverage for routine dental services. To achieve this, I used six different classification algorithms: LR, DT, RF, GBT, SVM, FM(Tech: PySpark, SQL, Databricks, Zeppelin books, Hadoop, Spark-Submit)

insurance_marketplace_analytics

The project was aimed to help the consumer find the best suitable health insurance plans amongst the pool of such plans. Thus, utilized Hadoop and HiveQL to store, process, and analyze large amounts of health insurance marketplace data, resulting in a 40% increase in data processing efficiency.

jersey-ecommerce-store--database-and-data-warehousing-etl

Developed a robust e-Store database/ Datawarehouse for seamless management of jersey orders, customer data, employee info, and inventory. Ensure accurate order recording, real-time inventory updates, and smooth multi-user access using ETL process & OracleSuite

kicking-it-up-by-a-notch-us-adidas-sales-

This Python project utilizes pandas, numpy, seaborn, matplotlib, and plotly to analyze the Adidas sales dataset. By generating impactful visualizations and uncovering sales trends and correlations, the project aids retail stakeholders in making informed decisions.

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