Archit Mallesha

Detail-oriented Data Analyst with a Bachelor’s in Information Technology and 1.5 years of consulting experience as a Full Stack Developer. Pursuing a Master’s in Information Systems. Skilled in SQL, Python, data visualization, and cloud technologies. Experienced in relational databases, data modeling, and business requirement analysis. Demonstrates strong analytical capabilities in data cleaning, transformation, and reporting.

• Google Data Analytics Professional Certificate, Coursera, In Progress
• Meta Back-End Developer Professional Certificate, Coursera, In Progress
• AWS Cloud Technical Essentials, Coursera, In Progress

DATABASE MANAGEMENT SYSTEMS

• Soccer League Database Management System (SoccerOne)Designed and implemented a normalized relational database schema to manage player, club, and match data, ensuring data integrity and efficient query performance., Developed advanced SQL queries for player performance analytics and automated match result updates., Created user-friendly dashboards to visualize league trends and support decision-making.

Enterprise Risk Analytics | Decision Modeling

• Converted 30 qualitative business risks into a structured dataset and built a P × I² scoring model to quantify enterprise exposure.
• Developed cost–benefit optimization logic to prioritize high-severity risks under capital constraints.
• Designed KPI-based early warning thresholds and visual risk heat maps for executive decision support.
• Modeled mitigation ROI (65–85% exposure reduction; 6–9 month payback period).

• IoT based smart waste monitoring system, 06/01/22, Archit Mallesha, Santosh Rathod, Bhagyashree Kulkarni, Garima Mahto, Research & Reviews: Advancement in Robotics, 5, 1, Proposed an intelligent waste monitoring device that will help in clearing of garbage by sending an alert or notification to the user's email for immediate disposal of the waste based on the levels of waste filled in the bin.
• E- Grocery Shopping App with Recommender System: Final Year Project, 05/01/22, Archit Mallesha, Gayatri Sukhadia, Lukesh Kadu, International Journal of All Research Education & Scientific Methods (IJARESM), 2455-6211, 10, 5, Due to COVID-19, only essential items were allowed to be sold and big businesses came to standstill. To promote 'Vocal for Local', an initiative by the Govt. of India to promote local businesses, we developed an E-Grocery cross platform mobile app which involved working with a substantial dataset and incorporated maps to display the nearest grocery stores, available products, and expected restocking dates. The capstone project involved the use of Content based recommendation systems to recommend products based on keyword searches and to improve the sale of the products.