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PurushothamAdluru/README.md

💼 Purushotham Adluru Padmanabharaju ( Puru )

📧 Email: purushothamraju488@gmail.com | 📞 Phone: +1(506) 230-9216 | 📍 Location: Fredericton, NB

📝 Professional Objective

✨ Experienced in implementing data analysis and digital marketing strategies to support business objectives. Proficient in leveraging tools like Excel (VBA), Power BI, and Google Analytics for deriving actionable insights, automating workflows, and enhancing campaign effectiveness. Skilled in test automation and backend validation using Selenium and SQL.

🔧 Technical Competencies

  • 📊 Data Analysis: Excel (VBA), Power BI, SQL
  • 📈 Marketing: CRM (Hubspot), Google Analytics, Brandwatch, Hootsuite
  • 🤖 Automation: Selenium, TestNG, Postman, Jenkins
  • 🎨 Design: Adobe Photoshop

🎓 Education

  • 🎓 Master of Computer Science, University of New Brunswick, NB (2022 – 2024)
  • 🎓 B.E. in Computer Science, New Horizon College, Bangalore, India (2017 – 2021)

📜 Certifications

  • ✅ Google Digital Marketing and E-Commerce Certificate (Nov 2024)

💼 Professional Experience

🌐 Digital Marketing Intern, Beautiful Calf Productions | Remote (May 2023 – Dec 2023)

  • 📋 Conducted market research, managed CRM workflows using HubSpot, and tracked campaign performance with Google Analytics.

📊 Data Analyst, TE Connectivity (May 2022 – Aug 2022)

  • 🔄 Automated tasks with Excel VBA, created Power BI dashboards, and supported decision-making with data analysis.

🤖 Test Automation Engineer, Inventeron Technologies | Bangalore (Jul 2021 – Aug 2022)

  • 🔍 Developed Selenium scripts, validated backend data with SQL, and visualized insights using Power BI.

🌐 Social Profiles

📂 Repository Purpose

This GitHub repository serves as a portfolio to showcase my skills, experiences, and technical projects. Feel free to explore my work and connect with me for collaborations or opportunities. ✨

Popular repositories Loading

  1. Spatial-Analysis-of-Road-Networks-within-Airport-Vicinity-Buffers Spatial-Analysis-of-Road-Networks-within-Airport-Vicinity-Buffers Public

    This project uses GeoPandas and Shapely to analyze road networks intersecting airport buffer zones. The results, identifying key intersections, are exported to a new shapefile for detailed GIS anal…

    Jupyter Notebook

  2. Spatial-Analysis-and-Visualization-of-2011-Weather-Data-for-Ottawa-Using-GeoMET-API Spatial-Analysis-and-Visualization-of-2011-Weather-Data-for-Ottawa-Using-GeoMET-API Public

    Analyzes and visualizes Ottawa's 2011 weather data using GeoMET API. Includes data fetching, processing, and plotting of temperatures, precipitation, and geographic locations on maps.

    Jupyter Notebook

  3. Spatial-Analysis-of-Crime-Data-in-Toronto-Visualizing-Robberies-and-Shootings Spatial-Analysis-of-Crime-Data-in-Toronto-Visualizing-Robberies-and-Shootings Public

    Analyzes Toronto crime data using GeoPandas and Matplotlib. Fetches and processes GeoJSON data for robberies and shootings, ensures CRS compatibility, and visualizes crime locations on neighborhood…

    Jupyter Notebook

  4. Spatial-Analysis-of-Precipitation-and-Flood-Risk-Data Spatial-Analysis-of-Precipitation-and-Flood-Risk-Data Public

    This notebook details techniques for cleaning and imputing missing precipitation data, processing and visualizing flood risk predictions using GeoPandas and Folium within a geospatial analysis fram…

    Jupyter Notebook

  5. Building-and-Evaluating-a-CNN-with-TensorFlow-for-Image-Classification Building-and-Evaluating-a-CNN-with-TensorFlow-for-Image-Classification Public

    This notebook explores constructing a Convolutional Neural Network (CNN) using TensorFlow and Keras, training it on the MNIST dataset, and evaluating performance through metrics visualization to op…

    Jupyter Notebook

  6. Implementing-Transfer-Learning-with-AlexNet-for-Image-Classification Implementing-Transfer-Learning-with-AlexNet-for-Image-Classification Public

    This notebook delves into using AlexNet, a pre-trained model, for transfer learning in image classification. It discusses AlexNet's architecture, and evaluates a fine-tuned model's performance, ide…

    Jupyter Notebook