The case of Soham Parekh, an Indian programmer who simultaneously worked for three to four U.S. startups, highlights the critical flaws of blind hiring. According to DOU Analytics, 12% of Ukrainian IT professionals currently have additional employment in the tech industry — a number that has grown over the past year. This trend underscores the importance of systematic performance analytics for ensuring transparency and productivity control. The absence of real employment data creates substantial risks for businesses.
What the Soham Parekh Case Reveals About Blind Hiring
Soham Parekh worked for several startups at once, including DynamoAI, Synthesia, Alan AI, and Union.ai (Indian Techie Soham Parekh Accused Of Serial Moonlighting Scam By US Entrepreneurs). He successfully passed interviews while concealing his true workload and deceiving employers about his location.
Mixpanel founder Suhail Doshi fired Parekh within a week for dishonesty and fraud (Who Is Soham Parekh? — Live India). It was later discovered that 90% of his résumé was fabricated. The issue wasn’t just overemployment — it was the complete absence of productivity analytics and verification systems.
This case demonstrates how the lack of performance monitoring tools enables dishonest employees to exploit remote work. Companies lost money and time due to their inability to track actual activity and results.
How Team Performance Analytics Changes the Game
Performance monitoring systems automatically detect anomalies in employees’ work patterns. Time trackers and project management integrations provide a transparent picture of real workload and productivity.
Key advantages of implementing performance analytics:
- Automatic activity tracking – detects suspicious breaks and unusual work patterns.
- Integration with Jira and project tools – shows real-time task progress.
- Performance analysis by period – compares productivity across projects.
- Automatic workload reports – flag overwork or underutilization early.
- Response time monitoring – measures how quickly employees handle messages and tasks.
Professional time-tracking and analytics systems maintain a balance between necessary oversight and team trust. Data-driven insights help detect issues before they impact project results.
Market Data: Multiple Employment in Ukraine
27% of Ukrainian IT specialists have additional projects besides their primary job. These are often secondary IT roles, side projects, or mentorship activities. Another 6% hold secondary jobs outside of tech.
This rise in dual employment poses clear risks for employers. Without productivity analytics, companies cannot tell whether they’re getting an employee’s full effort. The issue is especially critical for startups, where every team member carries substantial responsibility.
Automated time tracking and activity analytics allow HR teams and managers to identify potential overemployment. The systems analyze work patterns automatically and alert when inconsistencies appear.
How Yaware.TimeTracker Implements Performance Analytics
A company with 40 employees introduced Yaware.TimeTracker after discovering that one developer was secretly working for a competing project. Automated monitoring revealed irregular breaks and performance drops during specific hours.
The time-tracking system integrates with popular development tools, creating a unified productivity ecosystem. Dashboards display each team member’s real workload without disrupting creative flow. According to Harvard Business Review, companies that use performance analytics are 15% more effective at detecting HR-related issues.
Team performance analytics has become an essential tool for modern businesses — especially in remote work environments. The Soham Parekh case and the statistic that 12% of Ukrainian IT professionals have multiple jobs emphasize the urgency of the issue.
Properly configured monitoring systems ensure transparency without stifling employee initiative.
Share this analysis with colleagues if it helped you rethink your team management strategies.
