T

Theinmozhi W

About

Detail

Bengaluru, Karnataka, India

Timeline

work
Job
school
Education
folder
Project

Résumé

Jobs verified_user 0% verified
  • Besant Technologies
    Data Scientist Intern
    Besant Technologies
    May 2026 - Current (6 months)
    • Applied exploratory data analysis and statistical techniques (descriptive statistics, correlation analysis) in Python to uncover patterns in structured and unstructured datasets.
    • Built and evaluated machine learning models (regression, classification) using Scikit-learn, including hyperparameter tuning to improve model performance.
    • Performed data cleaning, wrangling, and validation using Python and Excel to prepare high-quality, model-ready datasets.
    • Wrote and optimised SQL queries to retrieve, filter, and aggregate data from relational databases for analytical and modelling use cases.
    • Built interactive Power BI dashboards to communicate KPIs, trends, and analytical findings to stakeholders.
    • Collaborated
Education verified_user 0% verified
  • Besant Technologies
    Data Scientist Certification
    Besant Technologies
    Jan 2026
  • SRM University
    Master of Science – Physics (MSc)
    SRM University
    Jan 2023 - Jan 2025 (2 years 1 month)
  • DAVV University
    Bachelor of Science – Physics (BSc)
    DAVV University
    Jan 2018 - Jan 2021 (3 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • P
    Retail Store Sales Analytics
    Python (Pandas, Scikit-learn), SQL, Power BI, Excel
    Jul 2026 - Current (4 months)
    • Analysed retail transaction data to uncover sales trends, customer purchasing behaviour, and product performance patterns.
    • Applied K-Means clustering to segment customers by purchasing behaviour, and built a regression model to forecast sales trends.
    • Applied data wrangling techniques using Python (Pandas) and SQL to structure data for analysis and modelling.
    • Developed Power BI dashboards to track revenue, profit margins, top-selling products, and seasonal demand.
  • P
    Health Analytics Dashboard
    Python (Pandas, Scikit-learn), SQL, Power BI, Excel
    Jul 2026 - Current (4 months)
    • Conducted end-to-end exploratory data analysis on patient data using Pandas, SQL, and Power BI to identify healthcare trends.
    • Built a Random Forest classification model using Scikit-learn to support predictive insights on patient outcomes.
    • Developed hospital KPI dashboards from pre-processed data and performed SQL-based reporting to support data-driven decision-making.
  • S
    Spam Email Detection using NLP
    Jul 2026 - Current (4 months)
    Developed a text classification model to identify spam and legitimate emails using NLP techniques. Applied text preprocessing, CountVectorizer, TF-IDF, and Multinomial Naive Bayes to achieve accurate spam detection.
  • G
    Global Supply Chain Disruption & Risk Analytics Dashboard
    Jun 2026 - Current (5 months)
    Developed a supply chain analytics solution to monitor disruptions, supplier risks, and logistics performance. Created KPIs and interactive dashboards to support risk mitigation and operational decision-making.
  • H
    Heart Disease Prediction
    Jun 2026 - Current (5 months)
    Developed a machine learning model to predict the likelihood of heart disease using patient health records. Performed data preprocessing, feature selection, and model evaluation using Logistic Regression, Random Forest, and SVM.
  • H
    House Price Prediction
    Jun 2026 - Current (5 months)
    Designed a regression model to estimate house prices based on location, area, and property features. Utilized Linear Regression and Random Forest Regressor with performance evaluation using RMSE and R² score.