Projects 2024-2025

innochain.py

InnoChain – Supply Chain Optimization & Risk Intelligence

An advanced AI-driven supply chain management system that combines predictive analytics, risk assessment, and optimization algorithms to enhance supply chain resilience and efficiency.

Technical Implementation

  • Developed hybrid forecasting system combining ARIMA, Prophet, and LSTM
  • Implemented real-time risk monitoring with anomaly detection
  • Created interactive supply chain visualization dashboard
  • Integrated multi-source data pipeline for comprehensive analysis

Technologies Used

Python TensorFlow (LSTM) Prophet Plotly Dash MongoDB

Key Results

  • Reduced forecasting errors by 18%
  • Early risk detection 10 days in advance
  • Optimized inventory levels saving 15% in costs
  • Successfully deployed across multiple industries
neurolens.py

NeuroLens – Cognitive Analytics & Decision Support

A cognitive analytics platform that leverages AI and machine learning to provide deep insights and decision support for complex business challenges.

Technical Implementation

  • Developed cognitive load analysis model
  • Implemented attention-based neural networks
  • Created interactive decision support dashboard
  • Integrated with business intelligence tools

Technologies Used

Python TensorFlow Keras Dash PostgreSQL

Key Results

  • Improved decision-making speed by 25%
  • Enhanced insight generation for strategic planning
  • Reduced analysis time for complex data sets
  • Successfully adopted by analytics teams
strategize.py

Strat-e-gize – Business Strategy Simulation & Optimization

A simulation and optimization tool for business strategies that uses AI to model, analyze, and optimize strategic initiatives and resource allocations.

Technical Implementation

  • Developed strategic scenario simulation engine
  • Implemented resource allocation optimization algorithms
  • Created user-friendly interface with Streamlit
  • Integrated reporting module for strategy outcomes

Technologies Used

Python Flask Pandas Matplotlib Scikit-learn

Key Results

  • Enabled data-driven strategic planning
  • Improved resource allocation efficiency by 15%
  • Enhanced scenario analysis capabilities
  • Successfully used in executive training programs
academia_cortex.py

Academia Cortex – Research Data Analysis & Visualization

A research data analysis and visualization tool that leverages AI to assist researchers in analyzing data patterns, visualizing results, and generating insights.

Technical Implementation

  • Developed data preprocessing and cleaning pipeline
  • Implemented exploratory data analysis (EDA) automation
  • Created interactive visualization reports
  • Integrated with Jupyter Notebook for seamless workflow

Technologies Used

Python Pandas Matplotlib Seaborn Jupyter

Key Results

  • Automated EDA reduced analysis time by 50%
  • Enhanced data visualization quality and insights
  • Improved reproducibility of research results
  • Adopted by multiple research teams

Projects 2022-2023

adapto.py

Adapto – Real-Time Personalization System

A real-time personalization engine that delivers tailored content and campaigns based on user context, behavior, and preferences using advanced machine learning algorithms.

Technical Implementation

  • Built real-time user context analysis pipeline
  • Implemented Contextual Bandit algorithms
  • Developed dynamic content selection system
  • Created A/B testing framework for validation

Technologies Used

Python Contextual Bandits FastAPI Redis MongoDB

Key Results

  • Increased Click-Through Rate (CTR) by 8%
  • Improved conversion rate by 5%
  • Reduced bounce rate by 12%
  • Successfully deployed to e-commerce platform
risksentry.py

RiskSentry Lite – Risk Assessment & Monitoring Tool

A streamlined risk assessment tool for SMEs that automates risk data collection, analysis, and reporting, enhancing risk management efficiency.

Technical Implementation

  • Developed automated risk data ingestion pipeline
  • Implemented risk scoring algorithm
  • Created interactive risk dashboard with Plotly Dash
  • Integrated email alerts for risk threshold breaches

Technologies Used

Python Plotly Dash SQLAlchemy Pandas NumPy

Key Results

  • Reduced risk assessment time by 40%
  • Improved risk reporting accuracy
  • Enhanced visibility of risk exposure
  • Successfully adopted by 10+ SMEs
stratsim.py

StratSim – Strategic Planning Simulation Tool

A strategic planning simulation tool that enables organizations to model, simulate, and optimize their strategic initiatives and resource allocations.

Technical Implementation

  • Developed simulation engine for strategic scenarios
  • Implemented optimization algorithms for resource allocation
  • Created user-friendly interface with Flask
  • Integrated reporting module for simulation outcomes

Technologies Used

Python Flask Pandas Matplotlib Scikit-learn

Key Results

  • Enabled data-driven strategic planning
  • Improved resource allocation efficiency by 15%
  • Enhanced scenario analysis capabilities
  • Successfully used in executive training programs
optiroute.py

OptiRoute – Intelligent Route Optimization

An intelligent route optimization tool that calculates the most efficient routes for delivery and service vehicles using real-time data and machine learning.

Technical Implementation

  • Developed route optimization algorithm
  • Implemented real-time traffic data integration
  • Created user dashboard for route planning
  • Integrated with GPS and mapping services

Technologies Used

Python Flask Scikit-learn PostgreSQL Docker

Key Results

  • Reduced average delivery time by 20%
  • Decreased fuel consumption by 15%
  • Improved customer satisfaction scores
  • Successfully deployed in a logistics company

Projects 2021

pricegenie.py

PriceGenie – Dynamic Pricing System

An AI-powered dynamic pricing system that adjusts retail prices based on real-time demand, inventory levels, and temporal patterns to optimize revenue and stock management.

Technical Implementation

  • Developed demand elasticity modeling pipeline
  • Implemented ensemble learning for price optimization
  • Created real-time price adjustment engine
  • Built monitoring dashboard for price impacts

Technologies Used

Python Random Forest FastAPI Redis Docker

Key Results

  • Achieved MAPE of 11% in price optimization
  • Increased revenue by 6% through dynamic pricing
  • Reduced stock depletion rate by 12%
  • Successfully deployed in retail environment
fairhire.py

FairHire – Job Market Analysis & Fairness Evaluation

A comprehensive tool for analyzing job market trends and evaluating fairness in hiring practices using data science and machine learning.

Technical Implementation

  • Scraped and processed job listing data from multiple sources
  • Analyzed wage gaps and hiring biases using statistical tests
  • Developed visualizations for market trend insights
  • Built a fairness evaluation framework for hiring algorithms

Technologies Used

Python Beautiful Soup Pandas Matplotlib Scikit-learn

Key Results

  • Analyzed 10,000+ job listings for market trends
  • Identified significant wage gaps and bias indicators
  • Provided actionable insights for 3 policy briefs
  • Enhanced transparency in AI-driven hiring tools
procureguard.py

ProcureGuard – Supply Chain Risk Management

An AI-driven platform for assessing and mitigating risks in supply chain management, enhancing resilience and sustainability.

Technical Implementation

  • Developed risk assessment models for suppliers
  • Implemented real-time risk monitoring dashboard
  • Created automated reporting for risk mitigation
  • Integrated sustainability metrics into risk models

Technologies Used

Python Dash Plotly SQLAlchemy TensorFlow

Key Results

  • Reduced supply chain disruptions by 30%
  • Improved supplier compliance tracking
  • Enhanced decision-making with real-time data
  • Successfully adopted by 4 mid-sized manufacturing firms
helpdesk_ai.py

HelpDesk AI – Automated Customer Support System

An AI-powered customer support system that automates ticketing, response generation, and customer query resolution, improving service efficiency.

Technical Implementation

  • Developed NLP models for intent recognition
  • Implemented automated response generation
  • Created ticketing system integration
  • Built analytics dashboard for support metrics

Technologies Used

Python Flask spaCy SQLAlchemy Jinja2

Key Results

  • Automated response generation with 90% accuracy
  • Reduced average response time by 75%
  • Improved customer satisfaction scores
  • Successfully deployed in a high-traffic support environment

Projects 2020

advision.py

AdVision – ROI Prediction & Simulation Platform

A machine learning-based platform for optimizing advertising ROI through predictive analytics and scenario simulation. Helps businesses make data-driven decisions about their marketing budget allocation.

Technical Implementation

  • Developed time series analysis pipeline for weekly ad performance data
  • Implemented advanced ML models (XGBoost, Random Forest, Prophet)
  • Built interactive simulation dashboard with Streamlit
  • Integrated seasonality and campaign effects analysis

Technologies Used

Python (Pandas, NumPy) XGBoost Prophet Streamlit PostgreSQL

Key Results

  • Achieved R² = 0.87 and MAPE of 13% in prediction accuracy
  • Demonstrated 4% potential sales increase through budget reallocation
  • Reduced decision-making time by 60% for marketing teams
  • Successfully deployed to 3 medium-sized businesses
smarterp.py

SmartERP Lite – Intelligent Inventory & Demand Forecasting

A lightweight ERP solution for SMEs that automates inventory tracking and predicts future demand using machine learning. Transforms manual Excel-based processes into an intelligent system.

Technical Implementation

  • Developed automated data processing pipeline for sales data
  • Implemented time series forecasting with Prophet and Gradient Boosting
  • Created responsive web interface with Flask and Bootstrap
  • Integrated holiday effects and promotion period analysis

Technologies Used

Python Flask Prophet SQLAlchemy Gradient Boosting

Key Results

  • Achieved MAPE of 12% in demand forecasting
  • Reduced inventory holding costs by 20%
  • Improved order fulfillment rate by 15%
  • Implemented in 5 local retail businesses
personacrm.py

PersonaCRM – Customer Segmentation & Recommendation Engine

An intelligent CRM system that segments customers based on behavior patterns and provides personalized campaign recommendations using machine learning algorithms.

Technical Implementation

  • Built customer segmentation using K-Means and GMM
  • Developed churn prediction with Logistic Regression
  • Implemented campaign effectiveness scoring
  • Created automated customer journey mapping

Technologies Used

Python Django Scikit-learn PostgreSQL

Key Results

  • Reduced customer churn rate by 6%
  • Increased campaign conversion rates by 15%
  • Improved customer retention in high-value segments
  • Generated 25% more personalized recommendations
crisislens.py

CrisisLens – Social Media Crisis Early Warning System

An AI-powered early warning system that monitors social media and complaint platforms to detect potential brand crises before they escalate, enabling proactive crisis management.

Technical Implementation

  • Implemented real-time social media data collection
  • Developed sentiment analysis using BERT
  • Created anomaly detection for sudden sentiment changes
  • Built automated alert system with severity scoring

Technologies Used

Python BERT FastAPI Redis Docker

Key Results

  • Achieved F1 score of 0.85 in sentiment analysis
  • Early detection of crises (avg. 3 days ahead)
  • Reduced response time to negative trends by 70%
  • Successfully monitored 5+ brands simultaneously
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