Ananya Saini
Profile

Results-driven and enthusiastic Computer Science Engineering student with hands-on experience in Data Science, Artificial Intelligence, Machine Learning, and Software Engineering, along with a strong foundation in Java, Python, SQL, and Data Structures. Skilled in problem-solving, debugging, and software development, with practical exposure to developing and deploying intelligent models, building predictive systems, and creating interactive dashboards using Tableau. Demonstrated expertise through internships at DRDO and Celebal Technologies, delivering data-driven solutions and real-world applications.

Education
Bachelor of Technology in Computer Science (Data Science), DIT University
2022 – 2026 | Dehradun

CGPA - 7.02 / 10

Grade 12th, Vantage Hall School, Dehradun
  • •Percentage: 88.4%
    • Grade 10th,, Vantage Hall School, Dehradun
  • •Percentage: 88.6%
    • Professional Experience
    Celebal technologies, Data Science Intern
    06/2025 – 08/2025
  • •Gained industry-relevant exposure and hands-on experience in Python, machine learning, and data science using prominent datasets from Kaggle.
  • •Worked on Data Cleaning, feature engineering, and SQL-based data analysis to generate actionable business insights.
  • •Actively participated in Celebal Hackathon '25, focusing on Data Science and Machine Learning.
    • DRDO, Intern
    06/2024 – 08/2024 | Delhi
  • •Developed a Tkinter GUI on the project Sound Direction Detection.
  • •Enhanced Python skills through hands-on GUI development and practical exercises.
    • Deloitte, Job Simulation
  • •Completed a virtual job simulation involving Data Analysis.
  • •Created a data dashboard using Tableau
  • •Used Excel to classify data and derive business insights.
    • Tata Data Visualisation: Empowering Business with Effective Insights, Job Simulation
  • •Created Data Visualizations for Tata Consultancy Services to assist in decision-making
  • •Designed impactful visuals for business insights, improving Storytelling with data.
    • Skills

    Programming: C, Java, Python, R, SQL, DSA

    Data & ML: Data Analysis, EDA, Machine Learning, Deep Learning

    Tools & Visualization: Tableau, Excel, Charts & Graphs, Dashboards

    Other: Linux, Git

    Projects
    House Price Prediction
  • •Built a web app (Streamlit) that achieved 92% R2 score based on features such as area, number of bathrooms, garage capacity, and overall quality
  • •Trained using the Kaggle House Prices Dataset.
  • •Implemented a Retrieval-Augmented Generation (RAG) chatbot using FAISS and Sentence Transformers for loan approval dataset queries. Leveraged Generative AI (OpenAI APIs/LLMs) to generate accurate, context-aware responses.
    • Zepto SQL Data Analysis
  • •A comprehensive, real-world data analyst portfolio project built around an e-commerce inventory dataset scraped from Zepto, one of India’s rapidly expanding quick-commerce startups.
  • •The project replicates actual analyst workflows — starting from raw data exploration all the way to actionable, business-driven insights.
  • •Performed on PostgreSQL.
    • Interactive HR Analytics Dashboard
  • •Built an interactive HR Analytics Dashboard in Tableau to analyze 1470 employees attrition trends, demographics, and job satisfaction.
  • •Delivered actionable insights such as 16.12% attrition rate, higher turnover in Sales (56.12%), and age-wise attrition patterns.
  • •Improved workforce decision-making by enabling data-driven HR strategies through dynamic dashboards and visualizations.
    • Certificates
    Introduction to Relational Databases
    Generative AI Fundamentals
    Implementing a Machine Learning solution with Azure Databricks