Aditi Khedekar

Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

• Python Programming
• SQL Programming
• Advanced Microsoft excel
• Dashboards
• Power BI

Using machine learning and other data mining techniques to get insights from massive datasets, such as identifying fraud rings

Utilizing your experience with R (and any associated tech like Python) to write new algorithms (Bigrams, Trigrams, k-means clustering and STM Modelling) to process gigabytes of text data to produce new insights

Understanding what problems create consumer calls through data mining interaction records

Adapt the latest technologies in modeling and data mining to design scientific tests to maximize dollars spent on new initiatives and marketing channels

Work together with a team of dedicated experts including researchers, developers, dev-ops engineers, and architects with a single goal of building best machine learning pipelines for a variety of use cases spanning commerce, financial markets, and procurement

• Project - Jamming Awareness Traffic allocation
• Description -Multiple-path source routing protocols allow a data source node to distribute the total traffic among available paths. In this paper, we consider the problem of jamming-aware source routing in which the source node performs traffic allocation based on empirical jamming statistics at individual network nodes. We formulate this traffic allocation as a loss network flow optimization problem using portfolio selection theory from financial statistics. We show that in multisource networks, this centralized optimization problem can be solved using a distributed algorithm

• CISCO certified (CCNA)