You will get ML models NLP tools and interactive dashboards
Rising Talent
Project details
AI-Powered NLP Solutions That Drive Real Results
I build intelligent recommendation engines, text analysis systems, and NLP pipelines that turn raw data into actionable insights. With hands-on experience deploying production-ready Streamlit apps and FastAPI backends, I deliver polished, interactive solutions—not just notebooks.
What sets my work apart:
✅ 85%+ accuracy across 45,000+ movie records (proven content-based recommender)
✅ 60% latency reduction through smart caching and data pipeline optimization
✅ End-to-end delivery — from data cleaning to live Streamlit deployment
✅ Real-world integration — TMDB API, PostgreSQL, PDF parsing, skill extraction
Whether you need a recommendation system, resume analyzer, text classifier, or sentiment analysis tool, I combine solid ML fundamentals with clean, deployable code. Every project includes full documentation and a working demo you can test immediately.
I build intelligent recommendation engines, text analysis systems, and NLP pipelines that turn raw data into actionable insights. With hands-on experience deploying production-ready Streamlit apps and FastAPI backends, I deliver polished, interactive solutions—not just notebooks.
What sets my work apart:
✅ 85%+ accuracy across 45,000+ movie records (proven content-based recommender)
✅ 60% latency reduction through smart caching and data pipeline optimization
✅ End-to-end delivery — from data cleaning to live Streamlit deployment
✅ Real-world integration — TMDB API, PostgreSQL, PDF parsing, skill extraction
Whether you need a recommendation system, resume analyzer, text classifier, or sentiment analysis tool, I combine solid ML fundamentals with clean, deployable code. Every project includes full documentation and a working demo you can test immediately.
Machine Learning Tools
pandas, Python Scikit-Learn, PyTorch, SQLWhat's included
| Service Tiers |
Starter
$20
|
Standard
$60
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 8 | 12 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50
Additional Revision
+$8About Amrit
Data Analyst | Python | Data Cleaning & Predictive Insights
Kathmandu, Nepal - 11:43 am local time
I transform raw data into competitive advantages. With expertise in Machine Learning, Deep Learning, and NLP, I help businesses unlock hidden patterns, predict customer behavior, and make smarter decisions faster.
What I Do Best:
• Predictive Analytics & Churn Modeling – Built systems that assign daily risk scores (1–5) to customers, enabling proactive retention strategies that actually work. • Machine Learning Solutions – End-to-end pipelines using Python, Scikit-learn, and advanced algorithms (Regression, Classification, Clustering). • Data-Driven Insights – Transform messy, complex data into clear, actionable intelligence your business can act on immediately. • Deep Learning & NLP – Leverage neural networks and natural language processing to solve cutting-edge AI challenges.
🏆 Featured Projects:
1. Netflix Churn Prediction Model Developed a predictive system that forecasts customer churn with precision, enabling streaming platforms to identify at-risk subscribers and implement targeted retention campaigns. Impact: Early intervention saves thousands in recurring revenue.
2. Mobile Phone Price Predictor Built an ML regression model that accurately predicts smartphone prices based on specifications and market trends. Real-world application: Helps retailers and buyers make data-driven pricing decisions instantly.
3. Movie Recommendation Engine Created a content-based recommendation system that suggests movies tailored to user preferences. Implementation: Integrated with real TMDB API data to deliver personalized recommendations at scale.
My Approach:
I don't just build models—I build solutions that matter. Every project starts with understanding your business problem, not just the technical one. I focus on:
Accuracy & Reliability – Rigorous testing and validation
Scalability – Systems that grow with your business
Real-World Impact – Solutions deployed and proven to work
Why Work With Me:
✓ Hands-on experience with proven, production-ready ML projects
✓ Strong foundation in both theory and practical implementation
✓ Proven track record translating complex data science into business results
✓ Responsive, collaborative, and committed to your success
Let's turn your data into your competitive edge. 🎯
Steps for completing your project
After purchasing the project, send requirements so Amrit can start the project.
Delivery time starts when Amrit receives requirements from you.
Amrit works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Review
Understand your data, define the problem, and clarify the desired output (accuracy targets, speed requirements, deployment needs).
Data Cleaning & Feature Engineering
Process raw data using Pandas/NumPy — handle missing values, encode categorical variables, create meaningful features, and prepare train/test splits.