Vijayendra Vashisth

• Reduced fraud rates by 40% for an Australian Push Payment Method by identifying emerging scam patterns.
• Developed and presented risk dashboards to senior leadership, enabling proactive decision-making.
• Collaborated with Finance, Operations, Product, and GTM teams to align data-driven insights with business goals.
• Rule creation to target risky users by adding friction to their accounts.

• Identified the opportunity to introduce family subscription plans for US car owners
• Collaborating with multidisciplinary teams to understand business requirements for the products and projects.
• Analysing statistical data; importing data from multiple sources, joining datasets, cleaning and preprocessing, data wrangling, and visualisations.
• Responsible for generating insights to contribute to the growth of a subscription product offered by the company.

• Subject Matter Expert on Energy Infrastructure Operations, with ownership of developing and industrializing the AI-Enabled Platform.
• Spearheaded the project that boosted revenue by $3.4M USD, while reducing carbon emissions by 26%.
• Led and managed data scientists, analysts, and developers for the development of data models, statistical reports, enhancing platform capabilities, and customer integrations.

Project - Key Performance Indicators Forecasting:

• Forecasting crucial KPIs like Drop Call Rate, Call Setup Success Rate, etc. For the next 5 days, plan preventive measures to avoid service degradation.
• ML techniques used: Time Series Forecasting using Prophet.
• Programming Language: Python
• Visualisation: IBM Cognos, Tableau, Power BI.

Project - Battery Autonomy:

• Predicting the duration of battery support on sites and comparing it to mains power outage to avoid the generation of trouble tickets or deployment of manpower in the field.
• ML technique used: Linear Regression.

• Identified the opportunity to reduce Work-Orders creation by 35%, saved 20% in truck-rolls
• Daily KPI reports creation using Excel, Python, and Bash.
• Created dashboards to track network level KPIs on Tableau, Power BI.