Aditi Singh

About

Data analytics student with experience in dashboard reporting, data quality checks, and workflow automation using Python and Selenium. Interested in data-driven decision support, machine learning, and business intelligence.

Education

• B.Tech CSE (IT)
  KIET Group of Institutions
  Computer Science and Engineering (IT) · 2023 – 2027
• Higher Secondary
  Institution
• Secondary
  Institution

Skills

• SQL
• Computer Vision
• Generative AI Tools
• Data Interpretation
• Python
• Machine Learning
• Power BI
• Java
• Data Cleaning
• Feature Engineering
• Matplotlib
• Streamlit
• Plotly
• Data validation
• Trend analysis
• Excel
• Statistical Analysis
• Data Pipelines
• KPI reporting
• Data quality monitoring
• Visual Studio Code

Projects

• EcoTrack Pro – AI Carbon Intelligence Platform
  Python, LLM Integration, Streamlit, Computer Vision, Data Analytics

  Built an AI-powered carbon footprint analytics system with LLM integration to generate personalized sustainability reports in PDF format. Implemented image-based emission detection system to estimate carbon impact from user inputs and real-world activity data. Designed automated data pipeline for tracking emissions trends, insights generation, and decision support analytics. Enabled intelligent reporting system helping users understand and reduce environmental impact through data-driven recommendations.

• Multidimensional Poverty Prediction & Government Insight System
  Python, Machine Learning, Streamlit, Data Science

  Built ML-based poverty prediction model achieving 90%+ accuracy using socioeconomic survey datasets. Generated regional poverty heatmaps enabling government-level decision support for resource allocation. Designed analytical system to identify high-risk poverty zones and contributing socio-economic factors. Provided data-driven insights to support policy planning and targeted intervention strategies.

• Spotify Analytics Dashboard
  Power BI, Excel, Data Analysis

  Built interactive dashboard for analyzing user engagement metrics and content consumption trends. Transformed raw datasets into structured MIS-ready business reports for analytics and reporting.

⚽ Extracurricular activities

• Data Science Lead, DevUP Club

  Mentored students in Python, Excel, and data analytics projects. Conducted workshops on dashboards, reporting, and data-driven decision making.