lakshmanan  ·  Data Scientist  ·  4+ yrs

Mid-Level
Chennai4+ years experienceremote
Available within 48 hrs

About lakshmanan

Lakshmanan is a competent professional specializing in Data Science and AI, with a focus on Machine Learning, Deep Learning, and Natural Language Processing. He has extensive experience in developing and deploying AI/ML solutions, leveraging technologies such as Python, Docker, and cloud platforms like AWS and Azure. His roles have included Data Scientist, Technical Lead, and Software Engineer, where he has excelled in both technical and leadership capacities.

Core expertise

Python
language
10/10
Docker
devops
8/10

Additional skills(15)

PythonKerasTensorFlowNumpyOpenCVScikit-learnFlaskDockerPandasHTML

Why hire lakshmanan?

Production deploy authorityMentored junior membersLed multiple releases

Proven experience in production deployments utilizing Docker and cloud services.

Led teams in developing complex AI/ML solutions across various domains.

Strong understanding of Agile Scrum methodologies in software development.

Successfully managed 4+ years of experience in Data Science & AI.

Developed and deployed advanced statistical and AI/Machine Learning models for large-scale data.

Led a team in developing a text classification model using Azure AI Studio.

Project highlights(6)

Human Activity Analysis through Surveillance Camera – Senior Technical Developer

Overview: This project developed an AI-driven system to identify criminals from surveillance camera footage. Responsibilities: Denoised images and enhanced facial features for improved analysis. Developed an AlexNet model for image training and criminal prediction. Utilized Keras, TensorFlow, Numpy, CV2, and Scikit-learn for model development and data processing. Implemented the backend with Python and deployed using GitHub, Docker, and Heroku.

PythonKerasTensorFlowNumpyOpenCVScikit-learnFlaskDockerHeroku

Key outcomes:

  • Successfully identified criminals from occluded images by denoising images and enhancing facial features.

  • Developed and deployed an AlexNet model for accurate criminal prediction.

Alzheimer's Disease Classification using Deep Learning – Team Lead

Overview: This project focused on classifying Alzheimer's Disease into three cognitive states (CN, MCI, AD) using deep learning. Responsibilities: Led the collection of a comprehensive dataset from public repositories like Kaggle. Employed advanced preprocessing techniques to enhance image quality for optimal model input. Designed and implemented a Convolutional Neural Network (CNN) tailored for multi-classification.

PythonOpenCVKerasTensorFlowPandasNumpyDockerHeroku

Key outcomes:

  • Successfully classified Alzheimer's Disease into three distinct cognitive states using a custom CNN model.

  • Ensured optimal model performance through comprehensive data preprocessing.

Text Classification using Azure AI Studio – Team Lead

Overview: This client project involved developing a text classification model using Azure AI Studio to categorize text data into confidential and non-confidential classes. Responsibilities: Led a team in developing the text classification model. Designed and implemented a classification framework for efficient text categorization.

PythonOpenCVKerasTensorFlowPandasNumpyDockerAzure Cloud Service

Key outcomes:

  • Successfully developed and implemented a text classification model capable of categorizing text data into two classes.

  • Streamlined cloud providers' data storage processes, enhancing efficiency and security measures for the client.

HEART DISEASE CLASSIFICATION USING MACHINE LEARNING – Developer

Heart Disease Classification using Machine Learning — ML on structured patient data.

PythonScikit-learn (Sklearn)PandasNumpyFlaskHTMLGitHubHerokuDocker

Key outcomes:

  • Successfully developed a machine learning model to predict heart disease with high accuracy.

  • Made the model accessible through a user-friendly web interface and ensured reliable deployment.

SENTIMENT ANALYSIS USING DEEP LEARNING – Backend Developer

Sentiment Analysis Using Deep Learning — customer review sentiment prediction + NLP techniques.

PythonKerasTensorFlowPandasNumpyNLTKScikit-learn (Sklearn)

Key outcomes:

  • Successfully developed a robust sentiment analysis system capable of accurately capturing and analyzing sentiment from customer feedback.

4+ years of industry experience

HealthTech1 project
  • •HEART DISEASE CLASSIFICATION USING MACHINE LEARNING— DeveloperPython · Scikit-learn (Sklearn) · Pandas · Numpy +5
AI / ML Platform5 projects
  • •Human Activity Analysis through Surveillance Camera— Senior Technical DeveloperPython · Keras · TensorFlow · Numpy +5
  • •Alzheimer's Disease Classification using Deep Learning— Team LeadPython · OpenCV · Keras · TensorFlow +4
  • •Text Classification using Azure AI Studio— Team LeadPython · OpenCV · Keras · TensorFlow +4
  • •HEART DISEASE CLASSIFICATION USING MACHINE LEARNING— DeveloperPython · Scikit-learn (Sklearn) · Pandas · Numpy +5
  • •SENTIMENT ANALYSIS USING DEEP LEARNING— Backend DeveloperPython · Keras · TensorFlow · Pandas +3

Ready to work with lakshmanan?

Onboard within 48 hours. No long hiring cycles, no recruiter middleman.

At a Glance

LocationChennai
Experience4+ years
Work moderemote
Direct hirePossible
Start within48 hours
From$1,150/ month

Single contract. Billed in USD.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman

Top Skills

Python
10/10
Docker
8/10
Seniority signals
Owns production deploysGreenfield architectSystem ownerCode reviewerMentor / leads juniors
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Background & identity checked
English communication verified
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lakshmanan

Data Scientist