Sethulekshmi S

Sethulekshmi S

Mathematics Tutor

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location of Sethulekshmi SBengaluru, Karnataka, India

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  • Timeline

  • About me

    Experienced Online Math Educator| Empowering Students to Excel in Math | Personalized & Engaging Lessons for All Levels/Certified specialist in Data Science and Analytics/Active learner/ Data enthusiastic/Civil Engineer

  • Education

    • ICT Academy, Kerala

      2023 - 2023
      Certification course Data Science & Analytics

      Activities and Societies: Project: Data Analysis of Air Quality in India - Predicting Air Quality Index

    • Government Engineering College, Barton Hill, Thiruvananthapuram

      2012 - 2016
      Btech Btech in Civil Engineering
  • Experience

    • WE CARE INSTITUTION

      Apr 2016 - Mar 2017
      Mathematics Tutor

      Worked and taught Mathematics to CBSE students.

    • COCHIN SHIPYARD LIMITED

      Jan 2017 - Jul 2019
      Graduate Engineering Trainee

      • Led projects in construction, maintenance, and horticulture, demonstrating expertise in site supervision, measurements, and estimate preparation.• Established and maintained vendor relationships, ensuring smooth project execution.• Managed end-to-end processes, from preparing bills in SAP to tender document creation and auction procedures.• Maintained meticulous records of the works.Maintained meticulous records of the works.

    • TCS iON

      Sept 2023 - Oct 2023
      Intern

      PROJECT TITLE : CLASSIFICATION MODEL - BUILD A MODEL THAT CLASSIFIES THE SIDE EFFECTS OF A DRUG.I had the privilege of interning at TCS iON, where I actively contributed to a challenging and impactful project. During my internship, I was tasked with building a classification model aimed at predicting the side effects of drugs. This experience provided me with valuable insights and skill development in the field of data science and healthcare analytics.Key Highlights of My Internship:1. Data Analysis and Preprocessing: I was responsible for the initial stages of the project, which included data collection, cleaning, and preprocessing. This involved working with complex healthcare data and preparing it for modeling.2. Machine Learning Model Development: I had the opportunity to apply machine learning algorithms and techniques to develop the classification model. This included feature engineering, model selection, and hyperparameter tuning.3. Model Evaluation: I actively participated in the evaluation and validation of the model's performance, ensuring its accuracy and reliability in predicting drug side effects.4. Problem-Solving and Critical Thinking: The project presented complex challenges, and I developed strong problem-solving and critical thinking skills, allowing me to tackle real-world issues in healthcare analytics.My internship at TCS iON not only enhanced my technical skills but also deepened my understanding of the vital role data science plays in healthcare. I am excited to continue my journey in this field, leveraging the knowledge and experience gained during this internship to contribute to meaningful and data-driven healthcare solutions.Link to Project Code: [GitHub Repository] :https://github.com/Sethu1994/TCSiON-Internship---Predicting-side-effects-of-drugsDataset link:https://www.kaggle.com/datasets/rohanharode07/webmd-drug-reviews-dataset Show less

    • ANGLE BELEARN

      Oct 2023 - Oct 2024
      Online teaching consultant
    • 90+ My Tuition App

      Nov 2024 - now
      Mathematics Teacher
  • Licenses & Certifications