A meticulous data scientist is accomplished at compiling, transforming, and analyzing complex information through software. Expert in machine learning and large dataset management.
Demonstrated success in identifying relationships and building solutions to business problems.Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
Organized and dependable candidate, successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Help businesses simplify their operations, increase efficiency, and maximize productivity. Specializes in automating lead generation, implementing chatbot and artificial intelligence solutions, and streamlining repetitive tasks to minimize human error and save time.
Accomplishments:
Conduct data mining, data modeling, statistical analysis, business intelligence gathering, trending, and benchmarking. Data analytics supports decisions for high-priority enterprise initiatives involving IT/product development, customer service improvement, organizational realignment and process reengineering
Accomplishments:
Used quantitative data gathered to develop an understanding of customer behavior, demographics, and lifecycle. Presented data that helped guide the decisions of the company.
Accomplishments:
Course Work:
Financial Mathematics, Actuarial Mathematics, Introduction to Finance, Economics (Micro and Macro), Time Series, Corporate Finance, Graph Theory and its Applications, Algorithms in Mathematics (Tools: Python Programming), Convex Optimization, Discrete Optimization, Stochastic Processes, Calculus, Multivariate Analysis (Tools: R Programming), Econometrics, International Financial Accounting, and Game Theory