Roll no : 23BIT155 Name : Niva Chirag Desai Title : Data Science Intern ICT Div-3

resume

1. Data Science Intern
Niva Chirag Desai
Gandhinagar, Gujarat - 382007 | [email protected] | [phone] | linkedin | github
Career Objective
Aspiring data scientist seeking an internship opportunity to apply analytical, programming, and problem-solving
skills in real-world projects. Passionate about extracting insights from data, developing predictive models, and
contributing to data-driven decision-making in a collaborative environment.
Education
Pandit Deendayal Energy University, BTech - Information and Communication Technology 2023 – 2027
• CGPA: 9.53
• Relevant Coursework: Aspiring data scientist seeking an internship opportunity to apply analytical,
programming, and problem-solving skills in real-world projects. Passionate about extracting insights from
data, developing predictive models, and contributing to data-driven decision-making in a collaborative
environment.
Projects
Student Performance Prediction using Machine Learning
• Built a regression model to predict student performance based on demographic and study-related factors.
• Performed data cleaning, feature scaling, and model evaluation using Python libraries.
• Tech Stack: Python, Pandas, NumPy, Scikit-learn, Matplotlib
• GitHub: Student Performance ML Project
COVID-19 Data Analysis Dashboard
• Analyzed COVID-19 datasets and visualized trends using interactive plots and dashboards.
• Extracted insights on daily cases, recoveries, and vaccination progress.
• Tech Stack: Python, Pandas, Plotly, Tableau/Power BI
• GitHub: COVID-19 Dashboard
Responsive Testimonial Card Design
• Apple Inc. Stock Price Analysis (Regression Project)
• Implemented correlation analysis and error evaluation using Excel and Python.
• Tech Stack: Excel, Python, NumPy, Matplotlib, Scikit-learn
Skills
Programming Languages: Python, C, C++, Java, SQL
Data Science & ML Tools: NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn, Excel
Visualization Tools: Tableau, Power BI (basic), Matplotlib
Concepts: Data Cleaning, Exploratory Data Analysis (EDA), Regression, Classification, Feature Engineering
Other Skills: Problem Solving, Analytical Thinking, Collaboration, Attention to Detail
Certifications & Achievements
• Data Science with Python – Coursera (2025): Completed a hands-on course covering data analysis,
visualization, and machine learning fundamentals.
• Kaggle – Python & Data Visualization Micro-Courses (2025): Practiced real-world datasets for data
preprocessing and visualization.
• Suprathon (2025): Participated in university-level hackathon demonstrating teamwork, creativity, and
analytical problem-solving skills.