You will get Advanced NLP, LLM, Text, and Sentiment Analysis Solutions
Top Rated
Project details
With expertise spanning a diverse range of NLP techniques including stemming, text vectorization, tokenization, EDA, sentiment analysis, LDA, text summarization, and NER, I specialize in delivering cutting-edge solutions tailored to specific project requirements. Leveraging tools like OpenAI and transformers such as BERT and Roberta, I excel in sentiment analysis, NER, entity matching, LDA, and topic modeling. By integrating GPT-3 into recommendation systems and sentiment analysis, I demonstrate a commitment to delivering innovative solutions that drive tangible business outcomes and elevate decision-making processes.
AI Development Type
Model Tuning, Recommendation SystemAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$150
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
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Guido F.
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Great work!
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Khan S.
May 17, 2024
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Zainab did an excellent job. She delivered a detailed analysis with clear interpretations and a quick turnaround. Highly recommended for Python data analysis tasks!
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Sophia R.
Apr 28, 2024
Data Science project help
About Zainab
Data Scientist
100%
Job Success
Islamabad, Pakistan - 9:34 am local time
𝐀𝐫𝐞𝐚𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
• 𝑫𝒂𝒕𝒂 𝑨𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔 : Proficient in ETL processes, SQL queries, web scraping, and Power BI dashboard creation. Expert in statistical analysis, including A/B tests and hypothesis testing for valuable insights.
• 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 & 𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈: Skilled in Scikit-learn and TensorFlow, with a focus on developing regression, classification, and clustering models for data-driven insights.
• 𝑵𝒂𝒕𝒖𝒓𝒂𝒍 𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆 𝑷𝒓𝒐𝒄𝒆𝒔𝒔𝒊𝒏𝒈 𝒂𝒏𝒅 𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝑨𝑰: Leveraged SpaCy, NLTK, OpenAI, Gensim, and advanced models like GPT-4, Roberta, and BERT. Applied transfer learning for superior NLP outcomes and contributed to projects involving LlamaIndex, AzureOpenAI, and LangChain, enhancing language-related task efficiency.
• 𝑪𝒍𝒐𝒖𝒅-𝑩𝒂𝒔𝒆𝒅 𝑴𝑳 𝑺𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔: Designed and implemented real-time and batch pipelines using AzureML and MLflow. Addressed challenges related to model fairness and data drifting, I implemented logging and monitoring practices for optimal model performance. Additionally, I optimized data workflows through efficient Apache Spark processing on Azure Databricks, ensuring scalable solutions.
Steps for completing your project
After purchasing the project, send requirements so Zainab can start the project.
Delivery time starts when Zainab receives requirements from you.
Zainab works on your project following the steps below.
Revisions may occur after the delivery date.
Project Understanding and Requirements Gathering
Understanding of the client's needs, objectives, and specific project requirements.
Technique Selection and Planning
Selection of appropriate NLP techniques based on project requirements, such as stemming, text vectorization, tokenization, sentiment analysis, LDA, text summarization, and NER.