You will get precise solutions for any kind of TimeSeries project.
Project details
I help businesses make accurate, data-driven decisions using Time Series Forecasting.
Whether you need to predict sales, demand, inventory, energy usage, pricing trends, or financial indicators — I build reliable forecasting models tailored to your data and objectives.
I use proven methods such as ARIMA, Prophet, XGBoost, and LSTM, and I provide clear insights with visualizations so results are easy to understand and act on.
You will receive a clean, well-tested forecasting solution designed for real-world performance, not just academic accuracy.
Whether you need to predict sales, demand, inventory, energy usage, pricing trends, or financial indicators — I build reliable forecasting models tailored to your data and objectives.
I use proven methods such as ARIMA, Prophet, XGBoost, and LSTM, and I provide clear insights with visualizations so results are easy to understand and act on.
You will receive a clean, well-tested forecasting solution designed for real-world performance, not just academic accuracy.
Machine Learning Tools
Amazon SageMaker, BERT, ChatGPT, Databricks Platform, Deeplearning4j, fastText, Google AutoML, GPT-3, Keras, Microsoft Power BI, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$75 - $150
Additional Revision
+$20
Additional Model Variation
(+ 2 Days)
+$60
Model Documentation
(+ 2 Days)
+$80Frequently asked questions
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About Aman
Machine Learning Engineer | Data Scientist | LLM | AI Agents | IIT KGP
87%
Job Success
Purnea, India - 8:04 am local time
A graduate of IIT Kharagpur and Top rated at Upwork, I am a skilled Data Scientist and AI / ML / LLM / GenAI Engineer with multiple years of experience, I've successfully contributed to startups, building scalable software solutions. As a graduate of IIT Kharagpur, I bring a solid academic foundation to my practical skills. My background includes impactful projects in Natural Language Processing , Computer Vision and Time-Series Analysis, demonstrating a deep understanding of complex data domains. With a network of skilled engineers, our project is uniquely positioned for success, marked by innovation, reliability, and impactful outcomes.
I am proficient in:
✅ Data Science , Machine Learning and Deep Learning:
● Classification and Regression tasks
● Unsupervised tasks (Clustering , Association ...)
✅ n8n & Intelligent Workflow Automation
● End-to-End Workflow Automation (CRM, Marketing, Support, Data ETL)
● Integration with AI Models, APIs, Webhooks & Databases
● Event-Driven Automation: Triggering AI tasks in response to data changes
● Custom Automations: Data prep, Alerts, Reporting, Scheduling, Slack/Email
● Orchestration of complex business logic using n8n nodes & JavaScript
Tech Stack: n8n, JavaScript, REST/GraphQL APIs, Postgres, Airtable, Slack/Email/S3, Webhooks
✅ Time-series prediction
● Time Series Analysis (ARIMA, SARIMA, Prophet ...)
● Time Series Forecasting (Single Step , Multi-Step forecasting)
● Time Series Classification
● Hierarchical Time Series Forecasting
● Demand Forecasting using ML regression models (LightGBM, Random Forest, XGBoost ...)
✅ Natural Language Processing (NLP) and LLMs:
● Text classification (including Sentiment Analysis, Aspect-Based Sentiment Analysis)
● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc)
● Chat-Bots (Deep Learning or Rule-Based chat-bots for various domains)
● LLM Fine-Tuning: Expertise in fine-tuning LLMs (large language models) like GPT-3, GPT-4, Llama, T5 etc for specific tasks and domains, leveraging transfer learning to improve model performance on niche datasets.
✅ Computer Vision (CV):
● Image Classification
● Object Detection (YoLo)
● Instance segmentation / Semantic Segmentation (Mask R-CNN)
● Optical Character Recognition (OCR)
🎓 Advanced proficiency in the following domains,
✦ Model Deployment
✦ Model Training
✦ Model Fine-tuning
✦ Knowledge Extraction
✦ Ad Hoc Structured Data Query
✦ AI Voice/Speech Agents
✦ RAG Enhancement
✦ Generative AI / Gen AI
✦ Prompt Engineering
✦ Long Term Memory and Continual Learning
✦ Performance Analysis
✦ LLM Evaluation
✅ Full-Stack Development:
● Backend (FastAPI, Flask, Django, django-rest-framework, Node.js, JavaScript, PHP, Yii Framework)
● Frontend (Vue.js, React.js)
● WordPress
● CI/CD (Docker, docker-compose, Kubernetes, k8s, Ansible, Terraform)
● Databases (PostgreSQL, MySql, MongoDB, OracleDB, ArangoDB, ClickHouse, GraphDB)
● AMQ (Celery, RabbitMQ)
💼 Some mainstream industries and business domains that I have worked with,
✦ CRMs
✦ Healthcare
✦ Operations
✦ Education, Edtech
✦ Legal (Regulation, Compliance)
✦ Real Estate
✦ Retail & E-commerce
✦ Travelling and Hospitality
Frameworks: SpaCy, HuggingFace, Transformers, NLTK,LangChain, PyTorch, TensorFlow, Keras, DarkNet, Detectron, Detectron2, Fast.ai
Annotation platforms: Doccano, ProdiGy, Clarifai, CVAT, Clarifai
Architectures: BERT, LongFormer, GPT-3, RAG, GPT-4, GPT-4o
Domains: MedTech, E-Commerce, HRM, AD-tech, Medical Imaging, CCTV (surveillance), NFT, LegalTech (document analysis)
Technical skills:
Python, Javascript, Go, Java, Spring Boot, Gradle, Node.js, react.js, react native, Android Studio, ios app developer, swift, Angular, Tensorflow, Keras, NumPy, Serverless Frameworks, Docker, Terraform, Ansible, Kubernetes, Jenkins, Spinnaker, GitOps, DataOps, AWS. GCP, Azure, JAMstack, GraphQL, MEAN Stack, React, Redux, ES6, Express, MongoDB, Redis, Linux, Etcd, Consul, Kinesis, Redshift, DynamoDB, Spark, Hadoop, Kafka, PostgreSQL, MySQL, ELK, Sass, Webpack, Gulp, Git, Ethereum, Solidity, OpenZeppelin, Truffle, Flask, Django, MCP , Teradata MCp, Flowise, n8n.
Key Highlights:
⭐️ Available 7 days a week
⭐️ Fluent in English
⭐️ Fast response time
⭐️ Give updates daily
⭐️ Long-term project support
⭐️ Upwork Top Rated
⭐️ 100% Job Success Score
Thanks for your consideration!
Steps for completing your project
After purchasing the project, send requirements so Aman can start the project.
Delivery time starts when Aman receives requirements from you.
Aman works on your project following the steps below.
Revisions may occur after the delivery date.
Project Understanding & Data Review
I will review the dataset and clarify forecasting targets, metrics, and time frequency.
Model Development & Optimization
I will build and evaluate forecasting models, tune performance, and generate prediction outputs.