Skill Set and Experience
Data Science
I’ve worked with real-world datasets and applied core techniques such as exploratory data analysis, data pipelining, and variable selection, building narratives around the data and linking with stakeholder business goals.
Skills: Python (Pandas, Numpy and Seaborn), R-Studio (Dplyr, Tidyr, and Ggplot2), SQL (Query optimization, CTEs, Joins)
Machine Learning
Experienced in both regression and classification projects, implementing my skills in the airport-logistics, law, and insurance sectors. Worked on several accuracy focused projects utilizing R-Studio and Python libraries.
Skills: Multinomial Logistic Regression, OLS Modelling, Random Forest, Ridge Regression, Gradient Descent, K-means Clustering, Sentiment Analysis with NLP
Dashboards
Visualized findings through Power-BI and Tableau, as well as producing graphic design to create infographics on topics relating to Social Media, Gender Differences, Quality of Life Reports, and more.
Skills: Streamlit, Pandas, Matplotlib, Seaborn, Folium, Plotly, Ggplot2, Dplyr, Tidyverse, SQL
Project Management
Focused on creating actionable KPI’s for different organizations, specifically in Operational Efficiency in the airport-logistics industry, working on SEO optimization for a AI-Law startup, and Portfolio Monitoring for insurance.
Skills: RegEx, Data Wrangling and Preparation, Feature Selection and Transformation, Data Merging, Data Utilization, Reproducibility, and Interpretability