Rutuja Kshirsagar

B.Tech IT Student

Passionate about creating innovative solutions and exploring the intersection of technology and creativity. Currently pursuing my B.Tech in Information Technology.

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My Journey

Beginning the IT Journey

Started my B.Tech in Information Technology with a curiosity about how technology can solve real-world problems.

Discovering Data fields

Found my passion for data analysis and machine learning during my second year, fascinated by how data tells stories and drives decisionsn and how ml model does prediction.

First Certification

Completed TCS iON Career Edge program, gaining essential professional skills in communication and business etiquette.

Technical Skill Development

Mastered Power BI, Python for data analysis, and strengthened my database management skills with MySQL.

Virtual Internships

Engaged in Deloitte's data analyst simulation and EduSkills AI-ML program, applying skills to real-world scenarios.

Present Day

Continuing to learn and grow, seeking opportunities to apply my data analysis skills to meaningful projects.

Skills

Programming Languages

  • Python
  • HTML/CSS
  • Java
  • C++
  • JavaScript

Database & Tools

  • MySQL
  • Power BI
  • Excel
  • Git
  • VS Code

Soft Skills

  • Communication
  • Team Collaboration
  • Leadership
  • Problem Solving
  • Time Management

Certifications

TCS iON Career Edge

Successfully completed TCS iON Career Edge course that covers Communication Skills, Presentation Skills, Soft Skills, Interview Skills, Business Etiquette, IT Foundation Skills, etc.

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geeks for geeks Python course

Completed a comprehensive course covering Python fundamentals, including data types, control structures, functions, file handling, and object-oriented programming. Gained hands-on experience through coding exercises and real-world problem-solving, strengthening core programming logic and Python proficiency.

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Udemy - Power BI Course

Gained hands-on experience in using Power BI to analyze, visualize, and present data effectively. Learned to build interactive dashboards and turn raw data into actionable business insights.

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IBM - Data Analysis Using Python

Developed practical skills in analyzing and visualizing data using Python. Gained proficiency in key libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data cleaning and exploratory analysis.

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Btech 1st year rank holder

🏅 B.Tech First Year – 1st Rank Holder Awarded for securing the highest academic rank in the first year of Bachelor of Technology. Demonstrated exceptional performance, dedication, and excellence across all core subject .

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Btech 3rd sem rank holder

🏆 B.Tech 3rd Semester – 1st Rank Holder Recognized for outstanding academic achievement by securing the top rank in the third semester of the Bachelor of Technology program. A testament to consistent excellence, dedication, and mastery of core engineering subjects.

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Btech 4Th sem rank holder

🎖️ B.Tech 4th Semester – 3rd Rank Holder Achieved 3rd rank in the fourth semester of the Bachelor of Technology program, reflecting strong academic performance, consistent effort, and a solid grasp of engineering fundamentals. .

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Btech 5Th sem rank holder

🎖️ B.Tech 5th Semester – 1st Rank Holder Achieved 1st rank in the fifth semester of the Bachelor of Technology program, reflecting strong academic performance, consistent effort, and a solid grasp of engineering fundamentals. .

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Internships

june 2025 - July 2025

Deloitte Data Analyst (Forage)

Data Analyst Virtual Intern — Deloitte (via Forage) Completed a virtual internship simulating real-world data analyst tasks at Deloitte. Gained experience in data cleaning, visualization, and business insight generation using Excel and Python. Worked on client-focused scenarios to analyze datasets, identify trends, and present actionable recommendations aligned with Deloitte’s consulting approach.

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September 2025 - november 2025

ybi Foundation

Business Analytics intern
Duration: 2 months
Completed a hands-on internship focused on data analytics and machine learning. Gained practical experience in data preprocessing, exploratory data analysis, and building predictive models. Worked on real-world datasets to derive business insights and apply machine learning techniques for decision-making support.

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September 2025 - october 2025

code soft

Data Science Intern — CodeSoft Duration: 1 month Worked on real-world machine learning projects, including building predictive models . Gained hands-on experience in data preprocessing, model training, and evaluation using Python and libraries such as Pandas, Scikit-learn, and Matplotlib. Strengthened understanding of the end-to-end data science workflow through practical implementation.

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September 2025 - october 2025

cognifzy technologies

Data Analyst Intern — Cognifyz Technologies Duration: 1 month Completed a short-term internship focused on data analysis and visualization. Worked on real-time datasets to perform data cleaning, exploratory analysis, and generate insights using tools like Python, Pandas, and Matplotlib. Strengthened skills in interpreting data trends and presenting findings to support data-driven decision-making. .

September 2025 - october 2025

code alpha

Data Analyst Intern — Code Alpha Conducted end-to-end data analysis projects involving web scraping, exploratory data analysis (EDA), and data visualization. Extracted structured data from dynamic websites using Python libraries, cleaned and analyzed datasets to uncover insights, and presented findings through interactive dashboards and visual reports. Strengthened skills in Python, Pandas, Matplotlib, and data storytelling.

July 2025 - September 2025

EduSkills AI-ML Virtual Internship

AI-ML Intern — EduSkills Completed a structured virtual internship focused on core concepts of Artificial Intelligence and Machine Learning. Gained hands-on experience with supervised and unsupervised learning algorithms, data preprocessing, model building, and evaluation using Python and Scikit-learn. Strengthened understanding of real-world AI applications through guided projects and industry-relevant case studies.

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September 2025 - December 2025

codec technologies

Data Analyst Intern — Codec Technologies Gained hands-on experience in data analysis using Excel for building interactive dashboards and reports. Developed skills in data cleaning, preprocessing, and exploratory analysis. Introduced to machine learning concepts and implemented basic models for predictive insights. Strengthened analytical thinking and data storytelling through real-world datasets.

Projects

Dashboards

Gen Z Aspirations Dashboard Developed an interactive dashboard to visualize and compare the mission aspirations of Gen Z individuals with the expectations and aspirations of their managers. The project involved collecting and analyzing survey data to identify key motivational drivers, career goals, and workplace expectations from both perspectives. Using data visualization tools, the dashboard highlights alignment gaps, shared values, and actionable insights to foster better intergenerational understanding and workplace synergy. .

Power BI
Dashboard

Titanic survival prediction

This project uses machine learning to predict passenger survival on the Titanic based on features like age, gender, class, and fare. It involves data preprocessing, exploratory analysis, model training (e.g., logistic regression, decision trees), and performance evaluation. The goal is to build an accurate and interpretable model that highlights key factors influencing survival outcomes.

python streamlit
Code Demo

sales prediction using python

This project leverages Python to forecast product sales based on advertising spend across TV, radio, and newspapers. It includes data cleaning, exploratory analysis, and building regression models to understand relationships and predict future sales. Key libraries used include Pandas, Matplotlib, Seaborn, and Scikit-learn for visualization and model evaluation.

Python Pandas streamlit
Code demo

Movie Rating Prediction

this project aims to predict movie ratings using machine learning techniques based on features like genre, cast, director, budget, and release year. It involves data preprocessing, feature engineering, and model building (e.g., linear regression, random forest) to estimate audience or critic scores. Python libraries such as Pandas, Scikit-learn, and Matplotlib are used for analysis and visualization.

Matplotlib pandas Scikit-learn
Code Demo
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Academic Performance

Here's a summary of my academic performance throughout my B.Tech in Information Technology program.

Semester
SGPA
Status
Semester 1
9.82
Pass
Semester 2
9.57
Pass
Semester 3
10
Pass
Semester 4
9.60
Pass
Semester 5
9.73
Pass
Semester 6
-
Upcoming
Semester 7
-
Upcoming
Semester 8
-
Upcoming

Current CGPA

9.74

Based on completed semesters

Completion

75%

Program progress

About Me

Your Name

Hello! I'm Rutuja

I'm a passionate B.Tech IT student with a strong interest in data analysis, web development, and creating innovative technological solutions. I enjoy turning complex problems into simple, beautiful designs.

When I'm not coding, you can find me exploring new technologies, learning new things , or contributing to open-source projects.

Email: rutujakshirsagar397@gmail.com
Location:Nagpur Maharashtra, India
Education: B.Tech in Information Technology

Get In Touch

Let's Connect

rutujakshirsagar397@gmail.com

9921286511

Nagpur ,Maharastara