Teaching Assistant - Statistics for Managers

• Jul 2023 - Present

As a teaching assistant for the course, I am assisting the professor on grading student discussion posts to evaluate how closely they are able to relate theorical concepts to real-world examples and provide feedback to help them improve their understanding of the subject. As a teaching assistant for the course, I am assisting the professor on grading student discussion posts to evaluate how closely they are able to relate theorical concepts to real-world examples and provide feedback to help them improve their understanding of the subject.

• May 2023 - Present

As a team lead at the Sprott Student Consulting Group (SSCG), I am currently leading a team of six to develop a marketing strategy for Actio, a Brazil-based software firm, looking to expand its operation in North America. The project is divided into three sub-projects each focusing on various aspect of the overall marketing strategy. Project 1 is focused around analyzing and optimizing the marketing strategy of BELT, Actio's risk management software, that is currently in the market. Project 2 is aimed at developing a completely new marketing strategy for Actio's strategic management software, SEED. The final project is focused at identifying the unique value proposition of each of the products in order to better position the products. Show less

• May 2023 - Present

As the product manager at Sprott Student Consulting Group (SSCG), I am handling an internal project to develop a product that utilizes natural language processing to provide a preliminary analysis of student assignments over 16 aspects covering areas such as leadership, communication, critical thinking, MBA functioning knowledge and general awareness to name a few.

Business Analytics

• May 2021 - Jun 2022

• Collaborated with fund managers to develop and automate Consumer Price Index (CPI) predictions for making investment decisions using time-series analysis and Python, saving company from $2,000/ month outsourcing cost. • Wrote programs from scratch to perform stock market simulation and back-test trading strategies to analyze profitability and identify high return portfolios for upcoming schemes/funds. • Responsible for weekly MIS reports to department heads and CEO. • Perform data-extraction for various projects within and outside the Business Analytics department. Show less

Data Science Intern

• Apr 2021 - May 2021

Worked on developing model to identify potential loan defaulters for Indonesia-based telecom firm looking to extend Micro-loan to its subscribers in form of token balance amount of IDR 5 & 10 credited directly to the subscriber's talktime balance using outlier analysis, and RandomForestClassifier. Worked on developing model to identify potential loan defaulters for Indonesia-based telecom firm looking to extend Micro-loan to its subscribers in form of token balance amount of IDR 5 & 10 credited directly to the subscriber's talktime balance using outlier analysis, and RandomForestClassifier.

Research Scholar

• Feb 2020 - Apr 2020

• Updated traditionally used Stata and adapted Python along with Sklearn’s Pipeline module to create data pipeline for automatic missing data handling and data standardization resulting in 30% reduction in overall time required • Visualized statistical data using MatPlotLib & Seaborn to isolate outliers, identify inconsistencies and perform exploratory data analysis. • Implemented Machine Learning algorithm (Random Forest Classification) to isolate problems which Water User Association (WUA) members might face in the future enabling effective policy implications Show less

Research Assistant

• Jul 2018 - Jul 2019

• Deployed Principal Component Analysis for dimensionality-reduction; leading to 42% faster data analysis and optimized processes for the highest quality results. • Categorized operational holdings over farm sizes using K-means clustering • Collaborated with the leadership team to identify relevant questions on targeted variables and determine optimal methods of collection. • Deployed Principal Component Analysis for dimensionality-reduction; leading to 42% faster data analysis and optimized processes for the highest quality results. • Categorized operational holdings over farm sizes using K-means clustering • Collaborated with the leadership team to identify relevant questions on targeted variables and determine optimal methods of collection.