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You will get advanced ML modelling services & statistical insights from any complex data

Aruparna M.Status: Offline
Aruparna M.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Aruparna, priced and ready to go.
Aruparna M.Status: Offline
Aruparna M.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Aruparna, priced and ready to go.

Project details

Senior Data Science Engineer with expertise in MLOps and end-to-end machine learning solutions. Experience spans roles at Micron Technology and ZS Associates, focusing on implementing scalable ML models, developing anomaly detection pipelines, and optimizing inventory systems to deliver tangible business value. Proficient in leveraging deep learning frameworks such as TensorFlow, PyTorch, and Keras for transformer models in NLP, as well as Graph learning and embeddings. Hands-on experience with Large Language Models (LLMs) for material demand forecasting and fine-tuning models using Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).

Extensive MLOps expertise, including deploying machine learning solutions on Google Cloud Platform (GCP) using Kubernetes, Airflow, and Docker for automation, monitoring, and model versioning. Skilled in building UIs with Streamlit, Angular, and RShiny to ensure complex data science workflows are easily accessible and maintainable. Strong interest in Web3 technologies, computer vision, and deploying ML models for edge devices, with a focus on driving advancements in these emerging fields.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Recurrent Neural Network, Regression Analysis, Transformer Model, YOLO
AI Applications
AIOps, Anomaly Detection, Image Analysis, Image Processing, Image Recognition, Machine Translation, Natural Language Understanding, Object Detection, Sentiment Analysis, Sequence Modeling, Time Series Analysis, Time Series Forecasting
AI Development Language
Python
AI Tools
GitHub Copilot, Hugging Face, Microsoft 365 Copilot, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vec
AI Models
BERT, ChatGPT, GPT-3, LLaMA, Naive Bayes Classifier
What's included
Service Tiers Starter
$2,000
Standard
$4,000
Advanced
$7,000
Delivery Time 15 days 30 days 45 days
Number of Revisions
51015
AI Model Integration
-
Batch Normalization
Database Integration
-
Detailed Code Comments
Image Upscaling
MLOps
-
Model Deployment
-
Model Documentation
-
-
Model Monitoring
-
-
Model Testing & Optimization
-
-
Model Tuning
-
Natural Language Processing
NLP Tokenization
Pre-Training
-
Prompt Engineering
Setup File
-
Source Code
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$100 - $200
Additional Revision
+$30

Frequently asked questions

Aruparna M.Status: Offline

About Aruparna

Aruparna M.Status: Offline
Data Science and Statistical modelling
Bengaluru, India - 10:18 am local time
Senior Data Science Engineer with expertise in MLOps and end-to-end machine learning solutions. Experience spans roles at Micron Technology and ZS Associates, focusing on implementing scalable ML models, developing anomaly detection pipelines, and optimizing inventory systems to deliver tangible business value. Proficient in leveraging deep learning frameworks such as TensorFlow, PyTorch, and Keras for transformer models in NLP, as well as Graph learning and embeddings. Hands-on experience with Large Language Models (LLMs) for material demand forecasting and fine-tuning models using Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).

Extensive MLOps expertise, including deploying machine learning solutions on Google Cloud Platform (GCP) using Kubernetes, Airflow, and Docker for automation, monitoring, and model versioning. Skilled in building UIs with Streamlit, Angular, and RShiny to ensure complex data science workflows are easily accessible and maintainable. Strong interest in Web3 technologies, computer vision, and deploying ML models for edge devices, with a focus on driving advancements in these emerging fields.

Steps for completing your project

After purchasing the project, send requirements so Aruparna can start the project.

Delivery time starts when Aruparna receives requirements from you.

Aruparna works on your project following the steps below.

Revisions may occur after the delivery date.

Gather requirements & define objectives

This very first step will involve accumulating as much information as possible from the client, in terms of project objectives, hypotheses and list of specific problem statements to address, data source, State / format of data- processed or raw.

Create flowchart and plan map

A detailed information will help me structure the project plan. A clear hypothesis and problem statement will impose pace of actionability in the problem at hand. A flowchart will be essential in chalking down the plan and requisite timeframes.

Review the work, release payment, and leave feedback to Aruparna.