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Fixing Amazon Disasters Before They Destroy Your Business.
🎯 Amazon Authorised Partner
🕒 6+ Years Fixing Critical Amazon Issues
🏆 2,000+ sellers supported across the US, EU, and UK marketplaces
💰 $5M+ Revenue Recovered for Clients Through Expert Problem-Solving
I'm Muhammad Wajahat, CEO of Dastan Traders and an Amazon Authorised Partner with 6+ years of hands-on experience in Amazon Seller Central.
I’ve helped 2,000+ Amazon sellers across the US, UK, EU, and global marketplaces recover from:
✅ Account suspensions
✅ Listing suppressions
✅ Catalog corruption
✅ Hijacker attacks
✅ Brand registry conflicts
🔥 Elite Amazon Services 🔥
🎯 CATALOG, Variations , Shipment Issues
→ Amazon Flat files Errors | → Amazon Browse node fixing
→ Amazon listings Merge | → Listing Contribution Conflict
→ Listing Suppression Removal | → Detail page errors, variation splits
→ FBA Reimbursements | → Lost/damaged inventory claims
→ Product Ungating | → Auto-approved in Grocery, Health, Beauty
→ Barcode Issues | → UPC/EAN/SKU/ASIN , Update
→ Shipping Plan Fixes | → Lost inventory, Warehouse discrepancies
🟢 Any catalog-related problems (Amazon database issues)
🎯 Amazon Account Health Management
→ Intellectual Property (IP) Complaints | → Trademark/Copyright/Patent complaints
→ Product Authenticity Complaints | → Missing invoices /Customer & Brand complaints
→ Product Condition Complaints | → Returned/Damaged/Mix-up Products Issue
→ Restricted Product Policy Violations | → Medical claims/Pesticide Content violations
→ Drop Shipping Policy Violation | → Retail/Walmart/eBay invoice issues
🟢 Any Account Health Related Problems We Can Fix Them
🎯 BRAND PROTECTION & GROWTH
→ Hijacker Removal | → Test buys, cease & desist, legal escalation
→ Brand Content Conflict | → A+ Issue, Storefronts Linking , Brand name issues
→ Duplicate ASIN Creation | → Customer confusion/Split reviews/Ranking dilution
→ Brand Registry Conflict | → Name mismatch/ Incorrect trademark Data
🟢 Any Amazon Brand Related Problems We Can Fix Them
🎯 PRIVATE LABEL MANAGEMENT
→ Product Research, Supplier Sourcing & Logistics
→ Listing Creation & SEO Optimisation (Titles, Bullets, A+ Content)
→ PPC Campaign Setup & Management (Advanced ACoS Reduction)
→ FBA Shipments, Inventory & Reimbursements
→ Product Ungating – Grocery, Health, Beauty
→ Flat File Uploads, Variation Creation & Browse Node Fixes
→ Storefront & Brand Registry Setup
🌐 Why I’m the BEST Choice for You,
✅ Amazon Authorised Partner
✅ 6+ Years Fixing Critical Amazon Issues
✅ Rescued 2000+ brands
✅ Charges AFTER Resolution
✅ I know the backend of Amazon inside and out—and I know what it takes to win.
✅ Supported a US sportswear distributor selling Nike products
✅ I work proactively, communicate clearly, and care about the long-term success of every
project I take on.
🔎 I’ll diagnose your issue within 30 Minutes
📝 Client Results:
💰Recovered over $5M in lost revenue through account reinstatements, reimbursement claims, and listing recovery projects,
✔ $287K recovered after FDA suspension
✔ 62 ASINs restored in 48 hours
✔ $90K reimbursement claim approved
📞 Let's do a Quick Meeting
🔥 DM for Free Audit
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Hi, I’m Aaisha! I'm a UGC creator and former Amazon PM turned founder.
I’m documenting my journey of building a business from the ground up to inspire others to break free from the rat race and create the life they’ve always dreamed of. I create UGC (user generated content) for brands that match my mission and empower people to achieve financial freedom through entrepreneurship.
I built an agent that helps UGC creators plan and produce short-form videos (30–120 seconds) for brands. It is trained on user personas from subreddits and Notion pages for UGC best practices for partnerships and content planning.
Notion Agent - UGC Storyboard Planner:
https://www.notion.so/marketplace/custom-agents/ugcstoryboardplanner
Loom of my story + product demo: https://www.loom.com/share/bd4515f65fde479db3e6b69e433111aa
What does this solve?
The creator economy is projected to reach $480 billion by 2027, but creators face rising burnout and pressure to stay constantly visible while going on this journey alone. This Notion agent serves as a thought partner and helps UGC creators turn brand briefs into clear content plans and storyboards, simplifying planning for always-on publishing.
> Converts a basic idea into a structured storyboard, including hook, scene-by-scene flow, shot list, and edit notes
> Generates content aligned with brand requirements (messaging, proof, CTA, and compliance)
> Supports both organic and paid formats with adjusted pacing, structure, and conversion focus
> Provides multiple creative directions (hooks, angles, formats) for each concept
> Organizes deliverables, including platform, duration, and required assets
> Tracks production timelines with draft, revision, and final deadlines
> Integrates with Google Calendar to create and manage deadline reminders
> Assists with brand communication, including pitches, rate replies, and follow-ups
Designed for UGC creators who need a repeatable system for ideation, production, and delivery - here is a tool that will plan content in their voice and style!
Love this Aaisha!
Sentiment-Driven E-commerce Optimization: Amazon Review Analysis & Rating Prediction.
Project Overview ✅
This project serves as a machine learning proof of concept designed to transform raw Amazon product reviews into actionable business insights. By automating the prediction of review ratings and analyzing customer sentiment, the system enables brands to optimize product listings, proactively address customer pain points, and drive higher conversion rates.
Process ✅
I developed an end-to-end pipeline covering data acquisition, complex text processing, and model deployment. Automated Data Scraping, Integrated the Apify API to extract real-time customer feedback directly from Amazon product URLs. I configured the scraper to handle up to 100 reviews per run, capturing critical metadata including rating scores, review descriptions, and verified purchase status.
Data Refinement & Feature Engineering:
Cleaned a dataset of approximately 1,944 reviews by removing noise (punctuation/symbols) and stop words using NLTK. I implemented TF-IDF Vectorization to convert text into numerical features and applied SMOTE (Synthetic Minority Over-sampling Technique) to address class imbalance, ensuring the model could accurately predict rare negative reviews.
Model Benchmarking ✅
Developed and compared three distinct architectures to identify the most robust predictor:
Naive Bayes: High-speed probabilistic classification.
Support Vector Classifier (SVC): Optimized for high-dimensional text data.
Neural Network (MLPClassifier): To capture complex semantic patterns.
Web App Deployment: Built a dedicated Streamlit dashboard that allows non-technical stakeholders to input raw review text and receive instant rating predictions with confidence scores.
Technical Stack✅
Languages & Tools: Python, Apify Client.
ML & NLP Libraries: Scikit-learn (SVC, Naive Bayes, MLP), NLTK (Tokenization, Stopwords), Imbalanced-learn (SMOTE).
Deployment: Streamlit, Joblib (Model Serialization).
Visualization: Plotly, WordCloud, Matplotlib.
Key Results ✅
Achieved a peak accuracy of 95.27% using the Neural Network model, with the SVC model following closely at 94.46%.
Developed sentiment-based feedback loops within the app: high ratings (4-5 stars) trigger positive marketing recommendations, while low ratings (1-2 stars) alert teams to address product issues like battery life or build quality.
Enabled real-time competitive analysis by providing a user-friendly interface for cross-functional marketing and product development teams to audit customer sentiment at scale.
dashboardPythonmachinelearningMachine Learning EngineeringData AnalysisData VisualizationApifyStreamlit
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Let’s Scale Your Brand with Data-Driven Email Marketing!
Hi there! I'm Mominur Rahman, and I help brands turn their email lists into revenue-generating machines.
In this quick video, I’m sharing how I combine Email Strategy with Data Analytics to deliver results that actually matter. Whether it's building high-converting automation flows or optimizing your cold outreach, I’ve got you covered.
What I bring to the table:
Full-Stack Automation: Welcome Flows, Abandoned Carts, & Win-back campaigns.
Data-Backed Decisions: Using Power BI & SQL to track ROI and optimize performance.
High-Converting Copy: Subject lines that get opened and bodies that get clicked.
Watch the video to see how we can work together!
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