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About Me

I am Sanjana Sharma, a Bachelor of Computer Applications (BCA) student specializing in Artificial Intelligence & Data Science at the School of Computing, Graphic Era Hill University, Bhimtal.

I enjoy working across the complete data workflow, from cleaning and querying data with SQL, to exploratory analysis, machine learning, and presenting insights through dashboards and web applications. I focus on building practical, application-oriented projects that solve real problems, and I am actively preparing for Data Science and Analytics internship roles.


Education

Degree Institution Specialization
Bachelor of Computer Applications (BCA) Graphic Era Hill University, Bhimtal, Uttarakhand AI & Data Science (School of Computing)

Relevant coursework: Machine Learning · Data Analytics · Algorithm Design · Computer Networks · Web Development


Technical Skills

Programming & Databases

Python SQL

Data Analysis & Visualization

Pandas NumPy SciPy Matplotlib Seaborn Power BI

Machine Learning & Deep Learning

Scikit-learn TensorFlow Keras OpenCV

Web & Deployment

Flask Streamlit

Tools

Git GitHub

Area What I work with
Data Analytics Data cleaning, EDA, SQL queries, KPI dashboards
Machine Learning Classification, model evaluation, feature engineering, explainability (SHAP)
Deep Learning Convolutional Neural Networks for image-based tasks
Statistics Descriptive statistics, hypothesis testing fundamentals
Fundamentals Algorithms, computer networks, web development

Featured Projects

Facial Expression Recognition Web Application

BCA Final Year Project

A web application that recognizes human facial expressions from images using a Convolutional Neural Network (CNN) trained on the FER2013 dataset.

  • Tech Stack: Python, TensorFlow/Keras, OpenCV, Flask
  • Highlights: Image preprocessing, CNN model training, face detection, web interface for predictions
  • Repository: View Project

E-Commerce Customer Churn & Retention Intelligence System

End-to-end Data Science project (in progress)

A complete data science workflow to identify customers likely to churn and support retention strategy decisions.

  • Tech Stack: Python, Pandas, NumPy, SQL, SciPy, Scikit-learn, SHAP, Power BI, Streamlit
  • Scope: Data quality checks, SQL analysis, churn definition, EDA, statistical testing, feature engineering, model building, explainability, customer segmentation, dashboard and app
  • Repository: View Project

📈 Sales Performance Dashboard

Data Analytics project

An interactive dashboard that tracks sales KPIs and trends to support business decision-making.

  • Tech Stack: Power BI, Data Analytics
  • Repository: View Project

Career Goals

  • Secure a Data Science / Data Analytics internship and contribute to real-world, data-driven projects
  • Build a strong portfolio of end-to-end projects with clear business impact
  • Grow towards a career in machine learning and analytics in the IT industry

Currently Focusing On

  • 🔹 Completing my Churn & Retention Intelligence System portfolio project
  • 🔹 Strengthening SQL, statistics and machine learning fundamentals
  • 🔹 Improving project documentation and interview preparation

GitHub Statistics

GitHub Stats Top Languages GitHub Streak

Get In Touch

I am open to internships, collaborations and learning opportunities in Data Science, Data Analytics and Machine Learning.

Thank you for visiting my profile. Feel free to explore my work! ⭐

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