Moody
Self Health - Voice/picture journaling web app
Tech Stack: Firebase, React, Framer, JavaScript, google cloud run.
Moody is a lightweight, voice-based journaling tool designed to help users track their moods with minimal effort. Users simply snap a photo, choose an emoji-based vibe, and leave a voice note. Past vibes can be viewed through a visual calendar and sorted by mood. Designed for emotional reflection without the burden of traditional journaling.
EV Charging Management System Product
Developed a robust software solution using C# to manage electric vehicle (EV) charging station schedules efficiently. Leveraged priority-based scheduling algorithms to reduce average wait times by 35%. Integrated an SQL database for managing operational metadata, enhancing reporting and analysis capabilities by 40%.
Designed predictive models for return on investment (ROI) analysis, aligning projections with actual business outcomes.
The project focused on building an intuitive user interface and ensuring compatibility with smart grid systems for real-time demand management.
Skills: C#, SQL, Data Modeling, ROI Optimization, Software Engineering.
Git
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Jupiter
A data-centric SaaS web application Numerology, Financial Market Calculators, and Market Forecasting Analysis
Developed a state-of-the-art interactive web platform utilizing Streamlit, tailored for an audience interested in financial astrology, numerology, and market trend evaluation. Integrated forward-thinking predictive models for market cycle analysis, using Gann theories and astrological data, yielding a 60% increase in forecast accuracy.
The platform boasted a wide range of features, like market degree analysis calculators, numerology-driven forecasts, and event-based analytics. With an emphasis on accessibility, the platform was made mobile-friendly, enhancing the experience for more than 500 recurrent users.
The project underscored contemporary design philosophies, effective backend computation, and real-time analytics for relevant insights.
Project & Process Competencies: Agile (Scrum, Kanban), Stakeholder Coordination, Vendor Liaison
Data & Technical: SQL (Oracle, MySQL), Python (Pandas, NumPy), Tableau/Power BI, Microsoft Project, Minitab, ETL Processes: Python, Streamlit, Predictive Analytics, Financial Analysis, User Experience Design, Data Representation.
Predictive Analytics and Database for Health Insurance
Built a machine learning pipeline to predict insurance costs with models like Linear Regression and Random Forest, achieving a test R² score of 0.86.
Designed and implemented a SQL database to manage over 1,300 patient records, improving data retrieval efficiency by 20% and
ensuring data integrity.
Conducted data analysis to uncover key factors influencing costs, enabling actionable business insights.
Enhanced marketing effectiveness by 25% through segmentation and high-cost group predictions.
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Cloud Text Expander
Developed a Cloud Text Expander application that enhances productivity by providing auto-complete, dynamic shortcuts, and templates for frequently used text. Utilized Python and cloud services to ensure real-time synchronization across devices. Designed an intuitive interface and implemented user-specific data security measures.
Cycle-x
Financial Markets Future Price Projection
Tech Stack: Firebase, React, Framer, JavaScript,Python, Dash, and Plotly
Offers a glimpse into potential future price levels—all with an interactive, easy-to-use interface. I built the My Proprietary Cycle Analyzer + Projection dashboard to do just that, I created a dynamic web app that detects key pivot points in historical data and then lets you project future price targets simply by clicking on these points.
Keurig Dr. Pepper's Alcoholic Beverage Project
Managed Keurig Dr. Pepper's innovative alcoholic beverage project, blending expertise in project management, marketing strategy, and consumer analysis. Conducted comprehensive market research to understand consumer preferences and industry trends, which informed critical strategic decisions. Applied Primavera P6 to manage intricate project timelines, ensuring smooth collaboration across marketing, production, and distribution teams. Designed and implemented a marketing plan that aligned with consumer trends, leveraging data-driven insights to target key demographics and maximize brand visibility.
Key Achievements:
Successfully launched the product within the targeted timeline, capturing significant market share in the first quarter.
Established strategic partnerships, enhancing the product's market penetration and brand equity.
Sales Performance Dashboard using Tableau
The Sales Performance Dashboard project involved creating two comprehensive Tableau dashboards designed specifically for stakeholders, including sales managers and executives, to effectively analyze sales performance, identify trends, and understand customer behavior. Utilizing real-world data from sales transactions, customer demographics, locations, and products, these dashboards provide actionable insights into yearly and monthly sales metrics.
Dashboard Features and Highlights
1. KPI Overview
2. Monthly Sales Trends
3. Product Subcategory Comparison
4. Weekly Trends for Sales & Profit
Dripper Design and Manufacturing ProjectDripper Design and Manufacturing Project
Dripper Design and Manufacturing Project
Description:
Successfully led the end-to-end design and manufacturing lifecycle of a high-quality micro-irrigation dripper, tailored to the specific needs of modern agriculture. Directed cross-functional teams, including engineers and suppliers, to deliver the project on schedule and within budget. Applied product management best practices to ensure the dripper design optimized water distribution efficiency, meeting stringent quality and performance standards. Leveraged Primavera P6 to meticulously coordinate project timelines, identify bottlenecks, and execute tasks seamlessly. Collaborated with agricultural experts to incorporate user feedback, enhancing the product's usability and market relevance.
Key Achievements:
Delivered a cost-effective and efficient irrigation solution, boosting crop yield potential.
Streamlined the project workflow, achieving a 15% reduction in production time.
Skills: Project Management, Product Design, Primavera P6, Team Coordination, Agricultural
RAG Chatbot in AWS Bedrock
I created a personalized chatbot using Amazon Bedrock—one that can answer questions based on my own documents!
The best part? My chatbot only responds with verified information from my documents—no random AI hallucinations!
Here’s what I did:
✅ Set up a Knowledge Base to store and process documents in S3
✅ Used vector search in OpenSearch Serverless to retrieve relevant info
✅ Integrated Llama AI models for natural, human-like responses
✅ Fine-tuned performance to improve accuracy
This project was a great hands-on way to explore AWS services, RAG (Retrieval-Augmented Generation), and AI-powered search. Excited to keep learning and building!
Simulation of Dual Three Phase Induction Motor Control Using Five-leg Inverter
Conducted an advanced simulation study to control dual three-phase induction motors using a shared five-leg inverter. The project aimed to evaluate motor performance under variable speed demands and demonstrate precise and independent regulation of both motors. Leveraged MATLAB/Simulink to design, program, and analyze control strategies, including Pulse Width Modulation (PWM) generation and gate driver logic. Explored and implemented a variety of modulation methods, such as sinusoidal PWM, two-arm modulation, and double zero sequence modulation, to achieve optimized motor performance.
Key Contributions:
Successfully simulated and analyzed independent speed control of two induction motors powered by a single five-leg inverter.
Optimized control algorithms to minimize harmonic distortion while maintaining power efficiency.
Demonstrated the efficacy of advanced modulation techniques for motor control in real-world industrial scenarios.
Key Achievements:
Validated the feasibility of using a five-leg inverter for dual motor control, reducing hardware costs compared to traditional six-leg inverters.
Showcased the project findings through simulations, presenting data-driven insights on performance metrics such as torque ripple, harmonic distortion, and power utilization.
Skills: Motor Control, MATLAB/Simulink, PWM Generation, Inverter Modulation Techniques, Simulation Analysis.