Summary

Work History

Education

Skills

Accomplishments

Timeline

Projects

TEJASHWINI GOUR

Aspiring Data Analyst

VIJAYAPURA

Summary

Detail-oriented Data Analyst fresher skilled in Excel, SQL, and Python, with a strong foundation in data analysis and visualization. Adept at identifying trends and delivering actionable insights. Seeking an opportunity to apply analytical skills and grow in a data-driven role.

Work History

Data Science Intern

Infotact Solutions

12.2025 - 03.2026

Optimized machine learning models for improved prediction accuracy and performance.
Developed custom algorithms to solve unique challenges in data analysis and modeling.
Utilized programming languages such as Python or R extensively throughout the internship – applying relevant libraries and frameworks when appropriate.
Applied appropriate data science techniques to solve business problems.
Developed predictive models for business decision-making, leading to more informed strategies.

Education

Certificate - Data Science Master Program

Besant Technlogies

Bengaluru, India

04.2001 -

B.E - Computer Science and Engineering

KLS GOGTE Institute of Technology

Belagum

08-2021

Skills

Programming: Python (NumPy, Pandas), SQL

Data Visualization: Matplotlib, Seaborn, Excel

Machine Learning: Regression, Classification (Scikit-learn – beginner)

Tools & Platforms: Jupyter Notebook, Power BI, Excel

Soft Skills: Logical reasoning, discipline, communication, structured problem-solving

Accomplishments

1. Programming for Everybody (Getting Started with Python)

Coursera

2. Machine Learning

Coursera

3. SQL

Stanford Online

4. Cambridge English Business Certificates BEC Preliminary

Cambridge Academy

5. Data Science Master Program

Besant Technologies

Timeline

Data Science Intern

Infotact Solutions

12.2025 - 03.2026

Certificate - Data Science Master Program

Besant Technlogies

04.2001 -

B.E - Computer Science and Engineering

KLS GOGTE Institute of Technology

Projects

Loan Default Prediction | Machine Learning

Tech Stack: Python, Pandas, Scikit-learn.

Performed EDA and preprocessing on the LendingClub dataset and built classification models including Logistic Regression, Random Forest, and XGBoost to predict loan defaults. Applied feature engineering, prevented data leakage, and evaluated performance using ROC-AUC and Recall.

HR Analytics Dashboard | Power BI

Tech Stack: Power BI, Excel.

Developed an interactive dashboard to track attendance, performance, and leave metrics. Created KPIs and automated reporting, saving 3–4 hours of manual work daily.

Resume Management System | Flask

Tech Stack: Python, Flask, SQLite.

Built a Resume Management System with RESTful APIs supporting CRUD operations. Implemented MVC architecture, managed SQLite database, and tested APIs using Postman.