About

Darshan Chandra is a highly skilled Data Analyst and Business Analytics professional with over 3 years of relevant experience. He is known for his strong competencies in identifying trends through analysis of complex data sets. Currently, he is working as a Working Student at SAP. In his previous role as Software Engineer Analyst at Accenture, Darshan worked for AT&T on a B2B e-commerce architecture as a Java developer. He used ATG framework (Java), SQL, and JSP to implement change requests and dev features like deep-link, rate plan orders customization, and email customization. He was also responsible for gathering data and creating heuristic statistics on spreadsheets for the last eight months, which was a learn-as-you-go process. Darshan extracted data from an application like Jira via an API to CSVs and performed data pre-processing to obtain spreadsheets. He aggregated data from cross-functional areas of e-commerce and visualized them onto spreadsheets. The results included calculation of Application Quality Index (AQI) score (scale of 1 to 6), Root Cause Analysis, Conversion Funnel charts, and stacked bar charts. Darshan improved the existing AQI score from 4.7 to 5.4 by actively discerning risk areas and allotting a severity to production defects. Resulting in prioritizing the resolution of defects with higher severity and impact. He was also trained and certified as a Scaled Agile practitioner. Darshan has a Master's degree in Big Data and Business Analytics from SRH Hochschule Heidelberg, Germany, and a Bachelor of Engineering (B.E.) in Information Science/Studies from Sir M Visvesvaraya Institute of Technology, India. He has a diverse tech stack, including SQL, Software Engineering, Java, Research Scientist, Postgres, UI, Python, and VueJS. In his current role at SAP, Darshan designed and implemented GitHub Analytics, a dashboard that presented integral information of ~1300 open-sourced repositories. He employed Python libraries and GitHub Rest API to extract data. Upon data-wrangling, the structured data is stored into Postgres DB and Influx DB. He enabled an interactive Grafana dashboard that depicts KPIs such as trend analysis on commits, forks, stars, and issues. Statistics on network traffic analysis, clones, and drill-downs on commits over a time period and organization level. Darshan monitored outsourced repository contains a license, readme, tagged to an organization, and the access set