• Developed an automated real-time KPI dashboard utilized by 100+ global employees, tracking 50K+ successful training, and saving over €100K by eliminating outsourcing.• Contributed to 'Next Level of Profitable Growth' dashboard, employing cube data in Tableau for in-depth analysis and customer segmentation, boosting sales.• Deployed an ML model with 95% accuracy, classifying post-training user sentiments, instrumental in identifying areas of improvement and eliminating manual classification needs.• Devised a ReAct prompting-based chatbot, recommending precise training materials to company users, enhancing learning efficiency.• Solely devised and deployed 30+ efficient, error-free dashboards on Tableau Server, aligning with management's strategic automation goals.• Utilized Tableau to create a variety of business intelligence tools such as roadmaps, training calendars, stakeholder analysis, training feedback and reports. These efforts significantly contributed to our team's success in winning the prestigious #oneSAP Team Award.

• Developed and implemented machine learning models using Python, PyTorch, TensorFlow, and NLTK for an extensive thesis on local differential privacy (LDP) in natural language processing (NLP).• Expedited model training and testing through robust platforms like Google Colab and Kaggle, ensuring optimum privacy-utility trade-offs.• Conducted a comprehensive comparative analysis of differential privacy algorithms, utilizing GloVe word embeddings and advanced statistical techniques. • Submitted research for EMNLP publication. Paper available for review here -https://openreview.net/forum?id=rwUCpBwzGv.

• Assisted the product owner with Agile ceremonies, optimizing User Stories, Sprint Planning, Daily Stand-Up and Sprint Reviews.• Employed ReactJS and Spring Boot to create a tournament-organizing application tailored to user's age, skill, and location.• Constructed an internal web service for efficient CRUD operations on Users, Rankings, Rewards, and Sponsors improving the team operations.• Established an internal media service for image management, optimizing database storage.

• Started a company for restaurant owners to buy organic spices straight from the farmers, cutting intermediaries.• Successfully served numerous restaurant chains with spices over the period of time.

• Sportsmechanic delivered analytics directly to the teams in order to improve their performance. We directly supported the IPL, the world's most watched sports league. • Led the development process to move all our dynamic websites (10+) from Angular, jQuery, PHP to MERN stack, reducing dependencies and increasing compatibility.• Ideated and developed numerous dashboards/infographics for players and teams which helped compare stats using Tableau.• Collaborated closely with the Analytics team on the IPL Auction Software. Directly contributed to the Python and C++ codebase.

A platform that analyses the data to consult Sporting Bodies. Environment: Microsoft Office, Python, MySQL. Analyzed the entire cricket database and formulated an equation to rate the Cricket Players.  Designed Tableau models to display the Rankings on their website.