Rashesh Kothari

o Data Consolidation: Explored and cleaned data from an alcohol management company to find discrepancies, errors in relational tables, schema consistency, field values consistency across dataset using Python, SQL o Search Engine: Developing fuzzywuzzy and autocomplete based search engine to provide metrics and dashboards from the retail-users and supplier’s inquiry for Tableau dashboards (Accuracy: 60%) o Model Optimization: Improving performance and efficiency, reducing latency for user searches

• Helping faculty and students in troubleshooting problems related to Virtual Lab over phone or email • Mentoring students in various software, especially SQL, Python. • Diagnosing and troubleshooting problems with Networks for Virtual Lab. Perform scheduled maintenance on servers and desktops

o Literature Review: Expectations of post-COVID and provide solutions to overcome mental exhaustion o Exploratory analysis: Performed Unsupervised Topic Modeling to identify latent relation between COVID and mental health cases by on 30K+ cdc.gov articles o Conclusion: Identified major factors that affected mental health: anxiety, isolation, depression, stress

* Training Dataset: CNN model trained on 80,000 images stored in the Amazon RDS database * Model: Used Transfer-Learning of Pre-trained mobilenet (Tensorflow and Keras) * Deployment: Built a real-time detection of Pizza toppings on Jetson-Nano, which will be used in smart oven * Presentation: Presented the project to CFO; received $500K funding for the project

Implemented forecasting patterns in python to predict inventory levels helping business achieve strategic direction

Client 2(Fortune-50 healthcare company) : Jul ‘16 – Dec ’18 • Worked closely with stakeholders to prepare ad-hoc multi-dimensional reports for claims data from ACAS & HMO for making intelligent decisions for business development • Developed a new detailing process flow which optimized the application that generates business reports leading to increased efficiency of 20% • Successfully deployed an algorithm for MIPS reduction which led the savings of $30K • Developed scripts to automate routine tasks leading to improvement in productivity by 10x • Communicate and co-coordinate with upstream and downstream applications • Lead a team of 3 to innovate and automate to transform service delivery • Mentored new resources and providing training in requisite technologies • Conducted training sessions for 25+ members on domain knowledge, script writing, Excel automation • Created application module inventory, currently used by the 30+ team members and client • Training: Data Science, Machine Learning, InfyAgile Global e-learning Client 1 (Top 10 global insurers) : Mar ’16 - Jul ‘16 • Created a job scheduler for the testing environment • Developed automation tools for testing and reporting purpose • Training: Agile Scrum Process, HealthCare INS (Insurance) Infosys Foundation Program Training : Sept ‘15 - Mar ‘16 • Recipient of High Performance (HPF) with $400 one-time bonus • Developed an Integrated Flight Services (IFS) system using Python and Oracle Database • Member of SGT (Self-governance team): A link between trainees and HR managers • Worked with “Infosys Learning Platform” team to create a self-sufficient learning platform for trainees

o Set up real time reporting of key business matrices to drive business strategy, using Google Analytics and Tableau o Executed a marketing campaign offering free holiday cards, reaching 10,000 users with only $100 marketing budget o Created data visualization on Tableau track customer value and inactivity for business development o Designed an automated communication system on prestashop, to improve customer satisfaction by 20%