👋 Hi, I'm
Upinder Sangha
Developer | Analyst | Learner
I make lives easier through code.
I build clean, efficient, and user-focused software, and automate the boring stuff (often the slightly interesting too).
I make lives easier through code.I build clean, efficient, and user-focused software,and automate the boring stuff (often the slightly interesting too).Perpetually learning, breaking things, and turning ideas into experiments.*/
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My Milestones
- Python
- Data Engineering
- SQL
- Avava PI
- Power BI
Developed an optimized analysis pipeline by implementing dependency-based task sequencing of high dimensionality graph, enhancing process automation and technical accuracy in data monitoring using Python. Automated the sensor attribute mapping process, using advanced string-matching algorithms and parallel processing techniques to cut mapping time by 80% and streamlined data validation and integration of time series data, identifying and flagging anomalies through clustering and statistical analysis. Leveraged Power BI to generate and visualize reports, enhancing decision-making through data-driven insights.
- Design Patterns
- Algorithms
- AI/ML
- Distributed Systems
Graduated with a GPA of 4.0/4.3. Completed advanced coursework in distributed systems, software architecture, and AI/ML techniques. Developed expertise in applying design patterns and algorithms to solve real-world problems. Participated in research projects and team-based software development initiatives like a lease management system and , honing skills in scalable system design and cloud-based application development.
- Python
- Deep Learning
- Statistics
- Tensorflow
Developed a hybrid algorithm using LSTMs for stock market prediction, leveraging technical and sentiment analysis from over 10,000 Twitter posts, resulting in a 15% improvement in accuracy over traditional models. Conducted experiments with multiple machine learning models to forecast stock prices based on historical NASDAQ data, enhancing understanding of market behavior. Employed advanced data visualization techniques to analyze model performance, providing actionable insights for data-driven decision-making and compared findings from past research papers to existing models.
- Data Analysis
- Python
- Data Visualization
- Clustering
Conducted comprehensive exploratory data analysis on the Global Terrorism Database, uncovering key insights into regional terrorism trends and fluctuations over time using clustering techniques to categorize incidents, enhancing the understanding of patterns and contributing to data-driven decision-making. Identified high-risk hotspots and vulnerable demographics most affected by terrorist attacks, enabling targeted interventions and policy recommendations.
- Data Structures
- Algorithms
- AI/ML
- OOPS
Graduated with a GPA of 8.83/10. Completed a rigorous curriculum focused on core computer science principles including data structures, algorithms, object-oriented programming, and AI/ML. Participated in multiple software development and research projects, including a fake news detection chatbot. Developed strong problem-solving and analytical skills through coursework and hands-on experience.
- Mathematics
- Physics
- Chemistry
- Biology
Volunteered as part of the Literacy Mission to provide free after-school tutoring in mathematics, physics, chemistry, and biology to students from underprivileged backgrounds. Developed and delivered lesson plans tailored to individual learning needs, improving students' understanding and academic performance. Fostered an engaging and supportive learning environment.
- Photoshop
- Illustrator
- Design
Designed promotional materials, social media graphics, and event posters using Adobe Photoshop and Illustrator. Collaborated with team members to create visually appealing and brand-consistent digital assets. Gained experience in design principles, color theory, and typography while contributing to the visual identity of Pixonoids.
My Areas of Expertise
Programming
Python
Java
JavaScript
HTML/CSS
Node.js
Vue.jsDevelopment
JUnit
AWS
Kubernetes
Docker
Git
REST APIsMachine Learning
TensorFlow
PyTorch
Scikit-learn
MLflow
Neural Networks
NLPAnalytics
Power BI
SQL
Predictive Modeling
Statistical Analysis
ETL
ExcelWhat I’ve Built
Blogish
Publish your blogs easily. A dynamic Web-based blogging platform application that let's users create new blogs and read blogs written by others.
Fake-News-Detector-Bot
A telegram chat bot that can detect fake news related to covid-19 and provide resources for further clarification.
Hybrid-Stock-Price-Prediction-model-uisng-LSTM
A hybrid stock price prediction model leveraging both numerical and sentiment analysis, combining Twitter sentiment to enhance forecasting accuracy by 15% over traditional methods.
Image-Captioning
An image captioning system using ResNet, GloVe embeddings, and LSTM, trained on the Flickr8k dataset, achieving BLEU-1: 0.596 and BLEU-4: 0.174.
Image-Classification-of-Plant-Diseases-Using-CNN
This project aims to develop a robust image classification model that can accurately identify various plant diseases, including those affecting Bell Peppers, Potatoes, and Tomatoes.
Lease-Management-System
A JavaFX-based desktop application for efficient property management, handling tenant info, lease agreements, rent payments, and property details.
MyPortfolio
My portfolio website made using Vue.js (Nuxt), Tailwind CSS and DaisyUI.
What I’ve Earned
