I pitched a proposal to shift organization focus on intelligent products. This led to an opportunity to work as a data scientist on developing performance products for the market.• Built a performance product utilizing models such as clustering for classification, XGBoost, and Random Forest for asset forecasts, NLP tokenization using nltk for sentiment analysis, as well as Keras and TensorFlow for LSTM time-series predictions.• Improved model accuracy by 30% through hyperparameter tuning and optimization.• Integrated PDF content with OpenAI's LLM using RAG, boosting response accuracy and driving client engagement up by 25%, driving significant potential revenue growth.• Led data solution projects for major clients (FA, NRL, AFL, Crystal Palace FC), improving stakeholder decision-making processes.• Developed a product recommendation engine by generating 1.7 million synthetic data points (Kaggle, HuggingFace) and utilizing a Collaborative Filtering Algorithm.• Created visually engaging front-end interfaces through Flask applications, Google Looker Studio, and Power BI and presented to wide audiences effectively.• Aligned stakeholder expectations and crafted strategies for product analysis, Go-to-Market planning, and POC development, leading to a 30% increase in product adoption.• Developed an award-winning application, recognized as a Top 10 winner in the GSIC Groundbreakers Innovation Challenge, contributing to increased company visibility and potential $1M in business opportunities.

I was in charge of revamping a Product that was losing customers. We were tasked with developing a proposal for a new version. I had to take charge in a team of 3 members led by a manager.This involved Market research, developing business requirements, evaluating the existing product, identifying pain points, conducting swot analyses. We curated a set of optimal recommendations for the next version and drafting a project timeline for the dev teams.I was able to utilize my interest in data to craft an intelligent product that included insightful dashboards and other widgets of value compared to the previous version.

• Immersed myself in the world of academic research, analyzing over 40 papers for a systematic review. My role involved collecting, cleaning, and organizing datasets using R to facilitate the development of statistical models and data visualizations.• Proud to have contributed to a successful publication through this research experience.

● Scraped 50,000 rows of performance data weekly using Python (Beautifulsoup) and created insightful visualizations in R using ggplot2. ● Achieved a 160% jump in rankings or jump from 3.7M to 1.4M position from a pool of 7 million players.● Authored technical articles on player performance for audiences on Medium.

● Created and Implemented a Chrome Web Store extension using HTML, CSS, and JavaScript. Achieved a 5 star rating and 200+ users with no SEO efforts.

• Oversaw testing for large datasets, ensuring stability across multiple software releases and validating data integrity.• Enhanced product quality by contributing to feature development, backlog grooming, and UI/UX reviews.• Spearheaded automation efforts, reducing testing time and contributing to faster deployments.

Tasked with improving production from manufacturing facility● Conducted analysis of production process, parts, labor using data, statistics, and engineering techniques to eliminate bottlenecks and core issues.● Presented solutions to various stakeholders resulting in 150% production time saved.

● Researched standards and strategies for high quality product testing ● Designed and documented optimal product testing breakdowns for team members which resulted in saving 5-6 hours of work per week for each member of the team● Tracked quality defects throughout product lifecycle through consistent and effective communication within cross-functional teams● Involved in Waterfall lifecycle methods within Scrum

● Recruited, and managed personal team involved in their success leading to become one of the Top 10 sales teams in a month.● Researched customer pain-points and identified ways to understand their needs and then improve closing ratios, on a continuous basis. ● Trained team on how to approach customer base to improve personal sales.● Developed customer journeys and funnels to filter and target niche customer profiles.● Built valuable relationships with customer base to increase brand perception, loyalty, and referrals.

Promote Brand Awareness for the launch of Microsoft Windows 8 on University Campus.Held campus events and conducted user surveys.