Multidisciplinary systems and materials engineer & data analyst with passion for materials for energy and data analytics. Possess a foundational knowledge of stimuli responsive materials needed to evaluate their structure activity relationships through novel materials characterization techniques such as SEM, XRD & FTIR. Moreover, skilled in Python, JavaScript, Tableau, Power BI, Apache Hadoop & PySpark, and both SQL and NoSQL databases (PostgreSQL, MongoDB). Strengths; adept at working independently and collaborating with teams across multiple functions to take information from a wide variety of sources and effectively breakdown concepts in layman terms to diverse audiences. With each project, my aim is to learn new skills and to make the most energy efficient product in any product development projects. I am excited to leverage my skills as part of a fast-paced quality-driven team to build better future & experiences for the users who will come across my works.
- Michelin Data Visualization, Web app development & deployment
- New York Citibikes Analytics Dashboard: Tableau
- Pewlett Hackard Analysis: Data Modeling & Engineering
- Big Data Amazon Vine Analysis: ETL-Pipeline
- The Study of the anisotropic microstructure of uniaxially cold compacted metal powders
Unit 1: Excel - Tables - Tabular Data
● Microsoft Excel ● VBA Scripting ● Statistical Modeling ● Statistical Forecasting
Unit 2: Python - Data Analytics
● Python ● NumPy ● Pandas ● Matplotlib ● Flask ● APIs ● JSON ● Requests ● Beautiful Soup
- Financial data Analysis
- School District Data Analysis
- Pharmaceuticals Inc Data Analysis
- World Weather Analysis
Unit 3: Databases - Data Modeling - Data Engineering
● SQL ● PostgreSQL / pgAdmin ● NoSQL ● MongoDB / Compass
Unit 4: Front end web visualization - Communicating
● HTML ● CSS ● Bootstrap ● JavaScript ● D3.js ● Leaflet
Unit 5: Data Engineering - Data Science - Machine Learning - Business Intelligence
● Tableau ● Apache Hadoop & PySpark ● Machine learning (ML) ● DataBricks ● Deep learning