AMRITHA MR Data analyst / scientist, Django - developer
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AMRITHA MR - Machine Learning Engineer & Technical Lead with expertise in Data Analytics, Data Science, and Python Django Development. Skilled in ML, Deep Learning, NLP, Power BI, Tableau, and full-stack development. Passionate about teaching and transforming data into impactful solutions.

Results-driven and versatile technology professional with a strong focus on Data Analytics, Data Science, Machine Learning, and Full-Stack Development. Experienced in building data-driven solutions and developing scalable web applications using modern tools and frameworks.

Currently working as a Machine Learning Engineer in a software development team at Codedu Software, and serving as a Technical Lead at Techolas Technologies, Palakkad, leading development projects and mentoring teams.

Possess strong expertise in data analysis, statistical modeling, and machine learning, along with hands-on experience in backend and frontend development. Passionate about transforming data into actionable insights and delivering high-performance solutions.

Core Skills & Technologies
Programming & Development: Python, R Programming, Django, HTML, CSS, JavaScript, jQuery, Bootstrap
Data Analysis & ML: NumPy, Pandas, Matplotlib, Statistics, Machine Learning, Deep Learning, NLP
Data Visualization: Power BI, Tableau, Excel
Database & Tools: MySQL, Git, GitHub
Other Skills: Web Scraping, Streamlit, Business Analysis
Project & Team Tools: Jira, Trello

Machine Learning Engineer
Codedu Software

Develop and deploy machine learning models for real-world applications
Perform data preprocessing, analysis, and model optimization
Collaborate with developers to integrate ML solutions into applications

Technical Lead
Techolas Technologies, Palakkad

Lead and mentor development teams across multiple projects
Make architectural decisions and ensure code quality
Manage project timelines and coordinate with stakeholders

Additional Strength
Strong interest and experience in Business Analysis and data-driven decision making
Passionate about technical teaching and mentoring students
Ability to simplify complex concepts and guide learners effectively

Subjects

  • Business Analytics Expert

  • Data Analyst Expert

  • Data Science and Machine Learning Expert

  • Python Django Expert


Experience

  • Technical Lead (Apr, 2024Present) at TECHOLAS TECHNOLOGIES PALAKKAD
    Led and mentored a team of developers in designing, developing, and deploying software applications.
    Made key architectural and technical decisions to ensure scalable and efficient solutions.
    Conducted code reviews and enforced best practices for clean, maintainable code.
    Collaborated with product managers, designers, and stakeholders to gather and refine requirements.
    Managed project timelines, task allocation, and team productivity.
    Troubleshot complex technical issues and ensured system reliability.
    Oversaw integration of new technologies and continuous improvement processes.
  • ML ENGINEER (Jan, 2022Mar, 2024) at CodEdu Software Technologies
    Designed, built, and deployed machine learning models for real-world applications.
    Worked closely with the software development team to integrate ML solutions into production systems.
    Collected, cleaned, and analyzed large datasets to improve model accuracy.
    Implemented data pipelines and automated workflows for model training and deployment.
    Evaluated model performance using appropriate metrics and fine-tuned algorithms.
    Ensured model scalability, reliability, and performance in live environments.
    Utilized tools such as Python, TensorFlow, Scikit-learn, and SQL for development.

Education

  • Computer science (Jun, 2019Apr, 2022) from College Of Applied Science Kuzhalmannamscored 73%

Fee details

    5001,000/hour (US$5.2610.53/hour)

    Fees are negotiable depending on the student’s needs and course selection.


Courses offered

  • Data Analyst

    • 25000
    • Duration: 6 Months
    • Delivery mode: Online
    • Group size: 41 or more
    • Instruction language: Malayalam
    • Certificate provided: Yes
    This comprehensive Data Analyst Training Program is designed to equip students with the essential skills required to analyze data, generate insights, and make data-driven decisions. The course covers industry-relevant tools, real-time projects, and career-focused guidance.

    What You Will Learn
    Programming for Data Analysis: Python fundamentals
    Database Management: MySQL for data handling and querying
    Data Analysis Libraries: NumPy, Pandas
    Data Visualization: Matplotlib, Power BI, Tableau
    Statistical Analysis: Core statistics for data interpretation
    Machine Learning Basics: Introduction to ML concepts and models
    Excel for Data Analysis: Advanced Excel techniques
    Version Control: Git & GitHub
    App Development: Build interactive dashboards using Streamlit

    Hands-on Projects
    ✅ 3 Machine Learning Projects
    ✅ 3 Data Visualization Projects

    Career Support
    📄 CV / Resume Preparation
    🎯 Technical Guidance & Mentorship
    🎤 Mock Interviews & Interview Preparation
    📊 Portfolio Building Support

    Course Highlights
    Industry-oriented curriculum
    Practical and project-based learning
    Personalized support for each student
    Beginner to advanced level training
  • Data Science

    • 30000
    • Duration: 7 Months
    • Delivery mode: Online
    • Group size: 41 or more
    • Instruction language: Malayalam
    • Certificate provided: Yes
    Our Data Science Course is designed to provide a complete learning experience from fundamentals to advanced concepts, preparing students for real-world industry roles in Data Analytics and Data Science.

    This course covers programming, data analysis, visualization, and machine learning, along with hands-on project experience and career support.

    Course Modules
    Programming & Database
    Python Programming (Basics to Advanced)
    MySQL (Database Management & Queries)

    Data Analysis & Libraries
    NumPy (Numerical Computing)
    Pandas (Data Manipulation & Analysis)
    Matplotlib (Data Visualization)
    Statistics (Descriptive & Inferential)

    Data Visualization Tools
    Excel (Data Analysis & Dashboards)
    Power BI
    Tableau

    Machine Learning
    Supervised & Unsupervised Learning
    Model Building and Evaluation
    3 Real-time Machine Learning Projects

    Advanced Topics
    Deep Learning (ANN, CNN, RNN)
    Natural Language Processing (NLP)

    Development & Tools
    Git & GitHub (Version Control)
    Streamlit (Deploy Data Apps)

    Projects & Practical Training
    Hands-on 3 Machine Learning Projects
    3 Data Visualization Projects
    Real-world datasets and case studies

    Career Support
    Project Assistance & Guidance
    CV / Resume Preparation
    Technical Mentoring
    Mock Interviews & Interview Preparation

    Who Can Join?
    Students & Freshers
    Job seekers (IT / Non-IT)
    Working professionals looking to switch careers
  • Business Analysis

    • 24500
    • Duration: 5 Months
    • Delivery mode: Online
    • Group size: 41 or more
    • Instruction language: Malayalam
    • Certificate provided: Yes
    Our Business Analysis Course is designed to equip learners with the skills needed to analyze business data, identify trends, and support data-driven decision-making in organizations.

    This program combines analytical thinking, data tools, and business intelligence platforms to prepare you for roles like Business Analyst and Data Analyst.

    Course Modules
    🔹 Business Analysis Fundamentals
    Introduction to Business Analysis
    Requirement Gathering & Documentation
    Business Process Modeling
    Stakeholder Communication

    Programming & Database
    Python for Data Analysis
    MySQL (Database Queries & Data Handling)

    Data Analysis & Statistics
    Excel (Advanced Functions, Pivot Tables, Dashboards)
    Statistics (Data Interpretation & Insights)

    Data Visualization & BI Tools
    Power BI (Dashboards & Reports)
    Tableau (Interactive Visualizations)

    Project Management Tools
    Jira (Task & Project Tracking)

    Practical Training
    Real-time datasets and case studies
    Hands-on dashboard creation
    Business scenario-based problem solving

    Career Support
    Resume / CV Preparation
    Interview Preparation
    Mock Interviews
    Technical Guidance

    Who Can Join?
    Students & Freshers
    Non-IT professionals looking to switch careers
    Working professionals aiming for Business Analyst roles

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