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Sneha Shankur

B.Tech AI & Data Science graduate · Data Analyst

Pune, Maharashtra, India

@sneha_shankur

0 followers

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About

B.Tech graduate in Artificial Intelligence and Data Science with hands-on experience in SQL, Python, Excel, and Power BI. Focused on data analysis, reporting, validation, and dashboard development to turn business data into actionable insights.

Experience

  • Python Full Stack & Data Analytics Training
    QSpiders
    Feb 2026 – Present

    Developed interactive Power BI dashboards connected to SQL databases for KPI reporting and business insights. Extracted, cleaned, transformed, and validated data using SQL and Microsoft Excel to support accurate reporting and data analysis. Collaborated on dashboard enhancements, validated business data, and documented reporting requirements while following Agile practices.

Education

  • B.Tech
    NKOCET
    Artificial Intelligence & Data Science Engineering · 2022 – 2026

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
SQL Reporting Data Analysis Data validation Dashboard Development
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
DAX NumPy Flask ESP32 Python Pandas Streamlit Matplotlib TensorFlow Oracle SQL Gemini APIs Data Cleaning Data Visualization Support Vector Machine Exploratory Data Analysis

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
Microsoft Power BI
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub Postman Tableau Power Query Microsoft Word Microsoft Excel Jupyter Notebook Microsoft PowerPoint

Projects

  • Sales Performance Dashboard & Business Insights
    Power BI | SQL | Excel | Power Query

    Developed interactive Power BI dashboards using SQL datasets to visualize KPIs, sales performance, and revenue trends. Cleaned, transformed, and validated sales data using SQL, Excel, and Power Query to create interactive dashboards and support business decision-making.

  • GenAI-Powered Data Analysis Assistant
    Python | Streamlit | Gemini API | Pandas | SQL

    Developed a GenAI-powered assistant for natural language querying, summarization, and analysis of structured datasets. Automated SQL-based data analysis and insight generation using Pandas and an interactive Streamlit interface.

  • AI-Powered Solar Panel Dust Detection and Monitoring System
    Python | TensorFlow | VGG16 | SVM | Flask | ESP32

    Developed an AI and IoT-enabled system using VGG16 and SVM to detect dust accumulation and automate solar panel cleaning through an ESP32-controlled mechanism. Improved solar panel efficiency by 25% and reduced water consumption by 40% using intelligent dust detection and automated cleaning.

Courses & certifications

  • Advanced Google Analytics · Google Analytics Academy
  • Fundamentals of Deep Learning · NVIDIA
  • Power BI Training · Infosys Springboard

🏆 Achievements & awards

  • Utility Patent – AI-Based Smart Dust Detection System for Solar Panels · 2025

    IJRASET 2025

  • IEEE Conference Paper – Hyper RouteX: Next-Gen AI Traffic Control · 2026

    CIPHER2026, NIT Jalandhar

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