lakshmanan  ·  Python / AI Data Scientist  ·  4+ yrs

Mid-Level
4+ years experienceremote
Available within 48 hrs

About lakshmanan

Lakshmanan is a Data Scientist with 4+ years of experience in developing and deploying AI/ML solutions across various domains. He has demonstrated strong leadership and technical skills, particularly in Python and cloud technologies.

4+ years of commercial experience in

HealthTechAI / ML Platform

Skills(18)

PythonSQL ServerAWSAzureDockerKerasTensorFlowNumpyOpenCVScikit-learnFlaskHerokuPandasAzure Cloud ServiceScikit-learn (Sklearn)HTMLGitHubNLTK

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.

Industry experience

HealthTech

1 project
  • •HEART DISEASE CLASSIFICATION USING MACHINE LEARNING— DeveloperPython · Scikit-learn (Sklearn) · Pandas · Numpy +5

AI / ML Platform

5 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?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience4+ years
Work moderemote
Starting from₹96k/mo
Direct hirePossible
Start within48 hours
From₹96k/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem ownerCode reviewerMentor / leads juniors
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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lakshmanan

Data Scientist