revanjb
About Candidate
Education
Bachelor's of Science in Chemistry
• Designed an ETL pipeline to produce a clean, structured, and workable dataset. • Constructed SQL queries to extract actionable insights from relational databases. • Produced insightful presentations and visualizations of statistically complex concepts for executive, technical and non-technical audiences. • Applied machine learning techniques (Random Forest, Decision Tree, Linear , and Logistic regression models). Tools: Python ( Numpy, Pandas, Seaborn, Scikitlearn, Matplotlib, Statsmodels) Database: SQL (PostgreSQL) Visualization & Analysis: Tableau Financial analysis: Advance excel ( VLOOKUP, PIVOT, Multivariate Linear Regression analysis)
Work & Experience
● Developed automated processes using Python, SQL & Excel to streamline client data workflows for data collection, cleaning, and analysis from multiple sources, improving process efficiency and organization. ● Enhanced data management and reporting by utilizing Python and Excel for data cleaning and organization, and visualizations to track business growth. ● Delivered ad-hoc analysis using statistical models and advanced Excel functions, pivot tables and macros, to provide in-depth analysis and visualizations for client strategies.
● Spearheaded efforts to create and maintain a successful company culture in a high performance environment, using data to facilitate strategic decision making. ● Created and presented weekly reports to executive stakeholders using Python and Excel to communicate business insights, fostering transparent and informed decision-making. ● Managed a $2M operations budget, overseeing contract negotiations with staff and vendors (FP&A).
● Developed dashboards in Python and Excel to track and visualize KPIs, assess performance, align business strategies and oversaw employee development. ● Maintained relationships and managed accounts with clients like USAA, Pepsi, DraftKings, T-Mobile, ensuring high satisfaction and drove contract renewals. ● Translated complex data into actionable insights to a diverse team and implemented strategies to ensure effective understanding and engagement across the entire department. ● Supervised a $2M operations budget, negotiated contracts with staff and vendors (FP&A).