Sharon Francis

About

B.Tech Computer Science and Engineering (Data Science) student with hands-on experience in data analysis, data preprocessing, exploratory data analysis, visualization, machine learning, and AI-based projects. I work with Python, SQL, Power BI, Excel, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, MySQL, and PostgreSQL to transform raw data into meaningful insights and practical solutions. I have worked on projects involving sales analytics, business intelligence, machine learning, computer vision, NLP, and full-stack applications, including AgriScan AI, Parakh, LaTeXForge, CineBook, and Global Superstore Sales Analysis. I also have internship and project experience involving data analysis, process automation, analytics, and business operations. Currently, I am seeking a 6-month, stipend-based internship in Data Analytics, Business Analytics, Power BI, SQL, Data Science, or related technical roles where I can work with real-world datasets, build dashboards, develop analytical solutions, and learn from experienced teams. I am particularly interested in opportunities in Pune, Nagpur, and Delhi, and I am open to relocating for the right opportunity. I enjoy solving problems with data, learning new technologies, building practical projects, and continuously improving my technical and analytical skills.

Experience

• Data Analysis with Python Intern
  CodeVedX
  Jun 2026 – Jul 2026

Education

• Bachelor of Technology in Computer Science and Engineering (Data Science)
  St. Vincent Pallotti College of Engineering and Technology
  Computer Science and Engineering (Data Science) · 2023 – 2027

Skills

• SQL Less than 3 months
• C Less than 3 months
• Data Preprocessing Less than 3 months
• Data Visualization Less than 3 months
• Python Less than 3 months
• Data Cleaning Less than 3 months
• NumPy Less than 3 months
• Pandas Less than 3 months
• scikit-learn Less than 3 months
• OpenCV Less than 3 months
• DAX Less than 3 months
• TensorFlow Less than 3 months
• Image Processing Less than 3 months
• CNN (Convolutional Neural Network) Less than 3 months
• NLTK Less than 3 months
• Exploratory Data Analysis Less than 3 months

Tools / apps / platforms

• Amazon Web Services AWS Less than 3 months
• Git Less than 3 months
• GitHub Less than 3 months
• Microsoft Excel Less than 3 months
• Microsoft Power BI Less than 3 months
• MySQL Less than 3 months
• PostgreSQL Less than 3 months
• Tableau Less than 3 months

Projects

• Parakh – AI-Powered Truth Verification Platform
  Python, AI/ML, NLP

  Built an AI-powered verification platform using Python and NLP to analyze screenshots, articles, and voice content. Developed automated claim extraction and verification workflows using AI/ML to assess information credibility. Streamlined content analysis through automated workflows for faster evidence-based verification.

• AgriScan – Multi-Crop Disease Detection & Severity Analysis
  Python, PyTorch, OpenCV, FastAPI, React, MySQL, ReportLab

  Developed an end-to-end leaf disease analysis platform using PyTorch, OpenCV, and FastAPI for image-based disease and severity analysis. Implemented OpenCV-based segmentation to identify infected regions and estimate affected leaf area for severity classification. Integrated React, MySQL, and ReportLab to manage scan history, display results, and generate automated PDF reports.

• Global Superstore Sales Analysis
  Power BI, Excel, Data Analytics

  Developed an analytics dashboard project to examine sales, profit, product categories, and regional performance. Used data analysis and visualization techniques to identify sales trends and communicate business insights. Designed analysis outputs to support comparison of category and regional performance.

Courses & certifications

• Data Science Master Virtual Internship · SIEMENS · 2026
• Data Analytics with Python · NPTEL · 2026
• Fundamentals of Deep Learning · NVIDIA · 2025
• Data Analytics Process Automation Virtual Internship · Alteryx SparkED · 2024

🏆 Achievements & awards

• AI Verse 2.0

  Won 1st Position in the UXplore UI/UX Design Competition.

• Tech-Axion

  Secured 2nd Position in a National-Level Technical Event.

• Smart India Hackathon (SIH)

  Secured a place among the Top 10 Teams at the college-level selection.