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I help e-commerce and digital brands improve marketing ROI, increase conversions, reduce churn, and scale profitably using Marketing Analytics, Machine Learning, Artificial Intelligence, predictive modeling, and causal inference. With 10+ years of experience in data science and analytics, I build data-driven systems that help businesses optimize ad spend, forecast demand, improve customer retention, and make better growth decisions using measurable data insights. I specialize in Marketing Mix Modeling (MMM), attribution analysis, forecasting, customer analytics, and growth-focused machine learning systems. Proven Impact * Reduced cart abandonment by 25% using predictive modeling and cohort analysis * Improved marketing efficiency and ROAS through Bayesian Marketing Mix Modeling (MMM) * Built AI-driven pricing systems that improved revenue performance and pricing strategy * Increased customer retention and lifetime value using segmentation and personalization models * Developed attribution and analytics systems for data-driven marketing optimization * Built forecasting systems for demand planning and operational decision-making What I Help Businesses Achieve Marketing Analytics & Growth Optimization * Marketing Mix Modeling (MMM) * Budget optimization and media allocation * Funnel analysis and conversion optimization * Customer journey and behavioral analytics * Multi-touch attribution and incrementality analysis * Customer Lifetime Value (LTV) and cohort analysis * Meta Ads and Google Ads performance diagnostics * A/B testing and experimentation * Real-time analytics dashboards and reporting systems Predictive Modeling & Data Science * Demand forecasting and inventory optimization * Churn prediction using survival analysis * Customer segmentation and personalization * Recommendation systems * Pricing optimization models * Fraud and anomaly detection * Predictive analytics for growth and operations Causal Inference & Advanced Analytics * Difference-in-Differences (DiD) * Bayesian Structural Time Series (BSTS) * Synthetic Control methods * Geo-level MMM and lift-test integration * Incrementality and elasticity analysis * Scenario planning and forecasting Selected Projects 🔹 Marketing Mix Modeling (MMM) System Built Bayesian MMM models using PyMC and NumPyro to measure channel effectiveness, optimize budget allocation, and improve ROAS across paid media channels. 🔹 E-commerce Churn Prediction System Developed survival analysis and cohort models using Shopify and GA4 data to identify churn risk, improve retention, and reduce cart abandonment by 25%. 🔹 AI Dynamic Pricing Engine Built a machine learning pricing system using demand forecasting and competitor analysis to optimize pricing strategy and maximize revenue performance. 🔹 Attribution & Growth Analytics Platform Designed analytics systems for Meta Ads and Google Ads performance analysis, attribution modeling, and customer acquisition optimization. Typical Projects I Handle * Marketing Mix Modeling (MMM) * Attribution modeling * Forecasting and demand planning * E-commerce analytics * Growth analytics * Customer segmentation * Churn prediction * Pricing optimization * Meta Ads & Google Ads analytics * Conversion and funnel optimization * Analytics dashboards and reporting systems Tech Stack Python, SQL, R, PyMC, NumPyro, Scikit-Learn, TensorFlow, Spark, BigQuery, Snowflake, Power BI, Tableau, Looker Studio, GA4, Meta Ads, Google Ads, Shopify, Klaviyo Why Clients Work With Me * Strong blend of data science, marketing analytics, and business strategy * Experience building scalable analytics and ML systems * Focus on measurable ROI, profitability, and growth impact * Ability to translate complex data into actionable business decisions * Deep expertise in MMM, attribution, and causal inference Let’s Work Together If you're looking to improve marketing ROI, optimize ad spend, forecast demand, reduce churn, or build advanced analytics systems that drive measurable business growth, I’d be happy to help.

I provide geospatial engineering and software development services focused on spatial data processing, automation, analysis, and visualization. My work involves building accurate, scalable, and reproducible GIS workflows using industry-standard desktop GIS, cloud platforms, and custom software solutions. Core Software & Platforms Autodesk AutoCAD AutoCAD Civil 3D QGIS ArcGIS Pro / ArcMap GRASS GIS Google Earth Pro Google My Maps Geospatial Data Production & Mapping KML / KMZ generation, editing, and validation Parcel, cadastral, and property mapping Census geography: blocks, tracts, townships, sections, PLSS ZIP code and administrative boundary mapping Contour generation, elevation modeling, hillshade, and terrain analysis DEM and LiDAR point-cloud processing Custom regional, city, and country-scale mapping Vicinity, zoning, and location-intelligence maps Linear infrastructure mapping (power, rail, fiber, oil & gas pipelines) Specialized GIS Operations Google Earth-based spatial visualization Image georeferencing and geometric correction Geofencing and spatial rule enforcement Manual and semi-automated map digitization Cartographic layout, symbology, and map visualization Geospatial Engineering & Automation Desktop GIS & Spatial Analysis Advanced spatial analysis using ArcGIS, QGIS, and GRASS GIS Custom tool and plugin development using PyQGIS Raster, vector, and topology processing for production-grade datasets Integration of ML/DL-based feature extraction from satellite imagery Cloud & Remote Sensing Workflows Google Earth Engine scripting using JavaScript and Python APIs Satellite imagery ingestion and processing via Sentinel Hub Large-scale raster processing and temporal analysis Cloud-based automation and scaling using AWS Web GIS & Interactive Mapping Development of interactive web maps using: Google Maps API Leaflet Google Earth Engine Apps Backend-driven geospatial services and data pipelines Spatial data publishing and performance optimization Programming & Software Development Python: ArcPy, PyQGIS, Pandas, workflow automation JavaScript / TypeScript: Web GIS and client-side spatial logic C, C++, C# (.NET): Desktop and backend application development ArcGIS Runtime SDK for .NET (WPF) ArcObjects SDK (WinForms) CAD-to-GIS integration using AutoCAD and Civil 3D Advanced Geospatial Capabilities LiDAR point-cloud processing and 3D modeling Topographic, surface, and topology analysis Orthophoto generation and photogrammetry workflows Spatial database and geodatabase design Geocoding, reverse geocoding, and location analytics Data Engineering & Analytics Data Processing Structured data analysis using SQL, Excel, Python, and R Data normalization, validation, and transformation pipelines Visualization & Decision Support Technical data visualization using charts, maps, and analytical outputs Spatial analytics for operational and planning use cases AI & Machine Learning Applications Machine learning integration for spatial and non-spatial datasets Feature detection, classification, and predictive modeling Data warehousing and virtual storage system design Project Execution & Technical Collaboration Requirements analysis and system design Workflow documentation and reproducible processing pipelines Version-controlled development and data management Coordination across multidisciplinary technical teams My expertise spans GIS engineering, remote sensing, LiDAR processing, software development, and data analytics. I specialize in building technically robust geospatial solutions that integrate desktop GIS, cloud platforms, automation, and custom software to support complex spatial workflows and decision-making systems.

Turn your raw data into clear, actionable insights—whether for business growth or rigorous research. Data is only valuable if you can understand it. If you are struggling with messy datasets, complex statistical models, or manual reporting, I am here to help you find the answers hidden in your data. I am a verified Data Scientist specializing in end-to-end data analysis, advanced statistical modeling, and interactive visualization. From cleaning disorganized databases to building corporate dashboards and writing comprehensive research reports, I deliver clear, accurate, and professional results. Core Services I Provide: 1. Advanced Statistical Analysis: Hypothesis testing, regression modeling, ANOVA, and factor analysis using IBM SPSS, Stata, and R. 2. Business Intelligence & Dashboards: Building interactive, automated Power BI and Excel dashboards to track key performance metrics. 3. Data Automation & Machine Learning: Writing clean Python scripts (Pandas, NumPy, Scikit-learn) to automate manual workflows and build predictive models. 4. Survey & Research Analysis: Cleaning survey data, interpreting consumer trends, and writing executive summaries or academic-grade reports. The Tech Stack I Master: 1. Statistical Tools: IBM SPSS, Stata, R Studio, Jamovi, SAS 2. Programming: Python, SQL 3. Visualization: Power BI, Microsoft Excel, PowerPoint No matter how messy your dataset is, I will deliver clean code, clear charts, and professional reports.Click the "Invite to Job" or "Message" button on the top right to discuss your project goals today!

✅ Profile Summary I am a versatile Data Scientist, Deep Learning Expert, Data Analyst, and Academic Writer with expertise across Health, Science, Business, AI, and Technology. I specialize in building intelligent data-driven solutions using machine learning, deep learning, and advanced statistical methods, while also delivering high-quality academic and professional writing. I guarantee: ✅ On-time delivery ✅ 100% original, plagiarism-free work ✅ Clear communication and reliability ✅ Well-structured and easy-to-understand output Core Competencies 📈 Data Science & Data Analysis • Machine Learning (Regression, Classification, Clustering) • Statistical Analysis (Regression, Correlation, ANOVA, Chi-Square) • Exploratory Data Analysis (EDA) • Feature Engineering & Model Optimization • Predictive Modeling & Forecasting • Data Cleaning & Wrangling • Data Visualization (Power BI, Tableau, Matplotlib, Seaborn) • Python (Pandas, NumPy, Scikit-Learn) • SQL (MySQL) • Excel (Advanced analysis, dashboards) 🤖 Deep Learning & AI • Artificial Neural Networks (ANN) • Convolutional Neural Networks (CNN) • Recurrent Neural Networks (RNN) • Long Short-Term Memory (LSTM) • Natural Language Processing (NLP) • Image Classification & Segmentation • Computer Vision (OpenCV, TensorFlow, PyTorch) • Transfer Learning (ResNet, VGG, EfficientNet) • Time Series Forecasting • Model Deployment (Flask API, FastAPI) 📝 Academic & Technical Writing • Academic papers (APA, MLA, Harvard, Chicago) • Systematic literature reviews • Theses and dissertations • Research proposals • Technical reports • Grant writing • Case studies & white papers • Blog articles (Health, Tech, Finance, AI)

**Stop wasting hours on broken reports, dashboards and unreliable models.** Every hour spent on unreliable data is an opportunity you are never getting back. Now, I could talk about my 3+ years of experience in data science and analytics. I could mention how I’ve helped businesses increase revenue, retain clients, reduce churn, or improve decision-making. I can even talk about my confidence in providing you with GUARANTEED satisfaction throughout our time working together. But I won’t do that🙂 Instead, let me give you the exact strategies I use to deliver results for my clients: - Clean and structure data for reliable analysis - Build predictive models to forecast trends and performance - Automate reports and dashboards for real-time insights - Analyse customer behaviour to improve marketing or sales - Identify hidden patterns that impact growth and cost - Present results in clear, visual formats with concrete guidance Simple. Right? But not easy. And definitely time-consuming. Now if you don't want to deal with all this, you've come to the right place. As a valued client, not only do you get GUARANTEED satisfaction, but you also get exceptional service and support. If you are looking for someone who is skilled in what they do, reliable, organised, and has excellent communication skills, then look no further. My daily work involves: - Advanced Excel and Google Sheets, - SQL databases, - Python & R analytic, machine learning and deep learning. - Power BI dashboards, - Streamlit data apps, - Web scraping and - API-based automation.

Businesses are generating more data than ever — but the challenge is turning that data into clear, actionable insights. That’s where I step in. I help companies automate workflows, forecast trends, and deploy AI-powered solutions that improve decision-making and reduce costs. My approach is results-driven: every project I take on is designed to save you time, improve accuracy, and provide measurable business value. What I Can Do for You • ETL & Data Pipelines → Automate data collection, cleaning, and integration from multiple sources • Predictive Modeling & Forecasting → Machine learning models tailored to your business needs • Business Intelligence Dashboards → Interactive dashboards (Tableau, React, Excel) for real-time insights • Process Automation with APIs → RESTful APIs to streamline repetitive tasks and reporting • Data Analytics & Reporting → Transform raw data into clear business stories that support decisions • Model Deployment → Put your ML models into production so they deliver value continuously 🔧 Tools & Technologies • Languages: Python, R, SQL • Frameworks: Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch • Visualization & BI: Tableau, Advanced Excel, React, Tailwind CSS, JavaScript • Automation: REST APIs, ETL Pipelines • Statistical Tools: SPSS, Time Series Analysis Why Work With Me? • I deliver scalable, production-ready solutions — not just prototypes • Proven ability to reduce manual work (saved past clients 20+ hours/week) • Strong track record in forecasting, automation, and dashboard development • Clear communication, fast response times, and full project documentation My goal is simple: to help you make smarter, faster, data-driven decisions. Let’s turn your data into your competitive advantage.