Aditya Mahajan

2+ years of experience in telecommunications as a Project Coordinator with Fiberhome India, Pvt. Ltd., dealing in OTN, MNG-PAN, and C-PAN. Experienced Data Scientist with strong Python, R, SQL, and advanced analytics expertise. Proficient in developing machine learning models, data visualization, and cloud-based AI solutions. Demonstrated ability to deliver actionable insights, and predictive models for business impact. Hands-on experience with Azure AI services (including Azure Machine Learning, Cognitive Services, and Azure OpenAI), and Microsoft 365 Copilot integration to streamline data analysis, automate tasks, and enhance decision-making processes.

Adept at translating business requirements into scalable data solutions using modern data platforms and AI technologies. My goal is to contribute to innovative projects that leverage data for actionable insights. Additionally, I am comfortable working with large datasets and deploying models into production.

• Python for Everybody, University of Michigan, 10/2020
• Machine learning, Stanford University, 10/2020
• What is data science, IBM, 11/2020
• Python data structures, University of Michigan, 11/2020
• Data analysis with Python, IBM, 12/2020
• Python for data science and AI, IBM, 12/2020
• Azure AI Fundamentals – Microsoft, 04/2024

• Application-Aware Routing in SDN (Team of 3)
  Developed and implemented solutions to optimize routing efficiency within Software-Defined Networking (SDN) environments.
• Training at Power Grid Corporation of India Limited, Gurugram
  SCADA & Communications in Power Utility (06/2016 – 07/2016)
  Focused on supervisory control and data acquisition (SCADA) systems and communication protocols in power utility networks.
• Training at C&S Electric Limited, Noida
  Current Protection & Monitoring Solution (12/2015 – 01/2016)
  Gained hands-on experience in electrical protection systems and industrial monitoring solutions.
• Kaggle HR Analytics
  Achieved 85% accuracy using Random Forest, outperforming Decision Tree and Logistic Regression models. Conducted EDA, data visualization with ggplot, and feature engineering.
• House Price Prediction by Kaggle
  Achieved 89% accuracy using Random Forest, surpassing models like Lasso, Ridge, SVM, and Linear Regression. Included EDA, visualization (Matplotlib & Seaborn), and advanced feature engineering.
• Bengaluru House Price Prediction by MachineHack
  Attained 80% accuracy using ensemble techniques (Random Forest, Decision Tree). Conducted extensive EDA, feature engineering, and data visualization.
• Bus Priority Infrastructure and Its Impact
  Performed data analysis using R and Python to assess infrastructure efficiency. Included EDA and data visualization.
• Microsoft Copilot integration: developed Excel Copilot workflows for auto-generating insights and charts
• Azure AI Chatbot (prototype): created a knowledge-based Q&A assistant using Azure OpenAI and cognitive search

• Languages: Python, R, C, C++, and Java
• Cloud: Azure, Microsoft 365
• Visualization: Tableau, Power BI, Seaborn, Excel
• Databases: SQL, MySQL, SQLite

• Reading novels and travelogues
• Web surfing
• Watching cricket and football
• Playing table tennis