About Me
I am a data analytics professional with a Master of Science in data analytics engineering from Northeastern University and a Bachelor of Science in physics from the University of Massachusetts Lowell, complemented by a background in business.
I am passionate about data analytics, machine learning, and data visualization, and I enjoy using data to solve complex problems and support better decision-making. My work focuses on transforming raw data into meaningful insights that drive business growth and improve user outcomes.
With a growing interest in energy systems, I have conducted independent researcher in photovoltaics and worked as a data analyst on energy systems in California. Building on this experience, I am currently pursuing a Master of Science in Nuclear Engineering at Institut Polytechnique de Paris, where I am enhancing my expertise in advanced energy technologies and data-driven solutions for the energy sector.
I enjoy applying my technical and analytical skills to communicate insights clearly and effectively, turning data into compelling, actionable stories.
technical skills:
Programming & Data Science: Python (pandas, NumPy, Matplotlib, SciPy, scikit-learn, PyTorch, TensorFlow, NLTK), C++, MATLAB
Data Visualization & BI: Tableau, Matplotlib, seaborn
Databases: SQL, MySQL, MongoDB
Tools & Environments: Jupyter Notebook, Git, GitHub, Visual Studio Code
Microsoft Office: Excel, Word, PowerPoint, Outlook, OneDrive, Teams
Google Suite: Drive, Docs, Sheets, Colab, Sites
Other Tools: LabVIEW, Adobe (Photoshop, Lightroom, Acrobat)
CRM Platforms: Salesforce, HubSpot
