Dhruv Trivedi

About Me 📊🚀

Turning Numbers into Narratives, Data into Decisions

🧩 My Story: The Optimization of Dhruv

Born and raised in Gujarat, India, and moved to Waterloo, Canada in 2019, I’ve always been fascinated by patterns, structures, and the art of problem-solving. My journey started with Arts & Business, pivoted through Mathematics & Combinatorics, and finally optimized itself into Information Technology Management with a Combinatorics & Optimization minor—talk about gradient descent in real life!

My academic career has been a dynamic time-series model, where every term added a new feature to my dataset. From machine learning algorithms to financial modeling, from supply chain analytics to network flow theory, I’ve trained myself to detect insights, predict trends, and automate decisions—all while keeping my bias low and variance optimal.

🌍 What Excites Me?

📊 Data Visualizations – Because insights should be as beautiful as they are impactful.
🤖 Machine Learning & AI – Constantly experimenting with Neural Networks, NLP, and Predictive Analytics.
💡 Optimization & Algorithms – Whether it’s a combinatorial problem or a business bottleneck, I love solving puzzles.
🌶️ Spicy Food Enthusiast – The hotter, the better! Just like my approach to challenges.
🎭 Movies & Theatre – A data guy who loves storytelling, both in dashboards & on stage!

🔍 What’s Next?

As I continue refining my machine learning skills, preparing for AWS certifications, and building data-driven solutions, my focus is on blending AI, optimization, and automation to make complex problems simpler, faster, and smarter.

Let’s connect, collaborate, and turn data into actionable intelligence! 🚀📈

🛠️ Skills & Technologies

📊 Data Science & Analytics

Machine Learning: TensorFlow, PyTorch, Scikit-learn, XGBoost
Data Processing: Pandas, NumPy, SciPy, Statsmodels
Databases: SQL, MySQL, MongoDB, DB2
Statistical Analysis: Regression, Clustering, Bayesian Inference, A/B Testing
Data Visualization: Matplotlib, Seaborn, Plotly, D3.js

🖥️ Programming Languages

Python 🐍 | R | SQL | MATLAB | JavaScript
Stata | Racket | MIPS | SAS

⚙️ Development & Automation

APIs & Web Scraping: REST APIs, BeautifulSoup, Scrapy
Data Engineering: ETL Pipelines, Workflow Automation
Scripting: Bash, Shell Scripting, VBA

📡 Cloud & DevOps

Cloud Platforms: AWS (S3, Lambda, EC2, SageMaker)
Version Control: Git, GitHub, Docker

💡 Business Intelligence

Power BI, Tableau, SPS Commerce
Excel (VBA), Google Data Studio

📚 Optimization & Math Modeling

Network Flow, Portfolio Optimization
Linear Programming, Convex Optimization

📈 Experience

From Data Pipelines to Business Impact – My Journey in Numbers & Models

🔹 Agriculture, Food and Rural Affairs | Data Analyst Assistant

May 2024 – Aug 2024

Rewiring Agricultural Data for Smarter Decision-Making

🚀 Migrated SAS codebases to R, cutting $24,000 in operational costs.
📊 Developed 4 interactive Power BI dashboards, dynamically adjusting to yearly data.
⚡ Automated statistical workflows, reducing manual report prep by 40%.
🌾 Led agricultural forecasting, aiding policymakers in funding decisions.

🔹 UCook | Data Analyst Intern

May 2022 – Jan 2023

Where SQL Met Supply Chain & Changed the Recipe for Success

🔍 Analyzed millions of sales records with SQL & Microsoft Dynamics, optimizing expansion strategies.
💰 Designed dynamic pricing models, eliminating guesswork in pricing decisions.
📦 Optimized supply chain logistics, reducing delivery times & transportation costs.
📊 Integrated JET Reports with Power BI, enabling real-time inventory tracking.

🔹 Girishay Agri | Business Analyst

Nov 2021 – Apr 2022

Turning Raw Data into Market-Shaping Insights for Agri-Tech

📦 Identified supply chain bottlenecks, reducing overstock waste by 35%.
🌱 Conducted agricultural market analysis, leading to a 2.5% market share increase.
📊 Built seasonal crop demand models, making farming more predictable.

🔹 Western Bio | Operations Analyst

Mar 2021 – Sep 2021

Data Science Meets Agri-Business – Modeling the Future of Crop Markets

🌾 Developed crop forecasting models using Python & SQL, enabling data-driven planting decisions.
📈 Automated KPI dashboards in Power BI & Tableau, improving efficiency by 12%.
📊 Designed time-series forecasting models for yield prediction.
⏳ Automated report generation, reducing a 2-hour weekly task to 5 minutes.

🔹 Nityam Dairy | Co-Founder

Mar 2021 – Dec 2021

Built a D2C Dairy Business with Data, Analytics & Quality at the Core

🚚 Designed an optimized delivery model, ensuring fresher, faster, and cost-effective dairy supply.
📊 Created market analysis dashboards using Excel VBA & Power BI.
💡 Implemented data-backed quality control, ensuring consistency for 150+ daily customers.
📦 Built a delivery route optimization model, reducing fuel costs & travel time.