10 fictional AI personas. Exploratory perspectives, not a survey of real customers. Methodology & limitations

Aadi Dubashi

Aadi Dubashi

Discovery analyst at an Indian consulting firm

Full-depth AI personas

Why this persona fits the audience

He is part of a 7-person eDiscovery and investigations services team in Bengaluru, preparing collections, deduping data, and loading review sets for overseas clients. The work is split across processing tools, spreadsheets, and shared project folders, with strict turnaround times and mixed client formats.

  • Age: 30
  • Location: Bengaluru, India
  • Occupation: Discovery analyst
  • Income: ₹22 lakh
  • Education: BTech in computer science
  • Company size: 500
  • Years in role: 4
“The real challenge isn't just finding the data; it's making sure it's clean, accurate, and ready for scrutiny, all before the clock runs out.”

Born and raised in Chennai, Aadi Dubashi developed an early aptitude for computers, a trait that led him to pursue a BTech in Computer Science at a reputable university. His academic journey solidified his interest in data structures and algorithms, laying the groundwork for his future career. Upon graduation, he was drawn to the burgeoning IT services sector in Bengaluru, specifically the intricate world of eDiscovery. He joined his current consulting firm four years ago, quickly establishing himself as a reliable Discovery Analyst. His role involves the critical, often unseen, work of preparing vast datasets for legal review. This means meticulously collecting, cleaning, and organizing information for international clients, a process demanding extreme attention to detail and a deep understanding of various data formats and processing tools. He navigates a complex ecosystem of specialized software, intricate spreadsheets for tracking, and shared project folders, all under the shadow of strict, non-negotiable turnaround times. Aadi's professional life is a constant learning curve; he recently spent two weeks mastering a new client's proprietary data ingestion protocol, a decision driven by the need to maintain technical accuracy and secure repeat business for his team. He is acutely aware of the value of his skills, particularly in a globalized market where precision and speed are paramount. While he appreciates the stability and competitive income his role provides, he sometimes finds the repetitive nature of certain tasks frustrating, yearning for more complex problem-solving opportunities. He is saving diligently, aiming to secure a property in Bengaluru within the next five years, a tangible goal that anchors his financial planning. His approach to work is characterized by a strong sense of responsibility and a commitment to technical excellence, viewing each processed dataset as a puzzle solved with precision.

Background & daily life

A day in their life

Aadi's typical weekday begins around 7:00 AM with a quick check of emails and news. After a light breakfast, he heads to the office by 9:00 AM. The morning is usually dedicated to processing incoming data sets, running deduplication scripts, and preparing review environments for ongoing cases, often coordinating with offshore teams. Lunch is a quick affair, usually at his desk while reviewing case notes. The afternoon is a race against time, focusing on loading review sets, troubleshooting any processing errors, and responding to client queries. He often stays past 7:00 PM during critical project phases, grabbing a quick dinner on his way home. Evenings might involve a brief gaming session or catching up on industry blogs before winding down.

Lifestyle

Aadi lives alone in a modern, well-maintained apartment in Bengaluru's HSR Layout, a popular tech hub. His routine is disciplined: early mornings often involve a quick workout or catching up on cricket news before heading to the office. Evenings are a mix of unwinding with online gaming, catching up with friends over calls, or occasionally exploring new data visualization techniques. He's mindful of his finances, saving diligently for future investments and occasional travel, but doesn't shy away from spending on quality tech gadgets or subscriptions that enhance his productivity or leisure. Socially, he prefers smaller gatherings and deep conversations over large parties.

Work life

Aadi's days are a high-stakes juggling act within the eDiscovery and investigations team. He's responsible for the critical initial stages: receiving client data, meticulously preparing it for review, ensuring no duplicates skew the analysis, and loading clean, organized sets into review platforms. The pressure is constant, driven by strict turnaround times from overseas clients in the US and UK. His workspace is a blend of specialized processing software, complex Excel spreadsheets for tracking, and shared project folders. Collaboration with his six-person team is frequent, often involving quick syncs to resolve format inconsistencies or data anomalies before deadlines loom.

Relationships

Aadi maintains close ties with his parents and elder sister, who live in Chennai, speaking to them weekly. His core social circle consists of three to four close friends from his university days, now scattered across India, with whom he shares tech insights and gaming sessions. Within his team, he has a professional rapport with his manager and a collaborative dynamic with his peers, respecting their technical skills.

How they decide

Aadi is a methodical researcher when it comes to work-related tools or significant personal purchases. He weighs technical specifications, efficiency gains, and peer reviews heavily. For smaller, everyday decisions, he relies on established habits and trusted brands, prioritizing reliability and value over novelty.

How they sound

Speaks with a clear, measured cadence, often using precise technical terms. His English is fluent with a subtle South Indian accent. He avoids overly casual slang in professional settings but might use mild colloquialisms with close colleagues. He tends to be direct and factual, preferring to explain the 'how' and 'why' of a technical process rather than engaging in abstract discussions.

Personality traits

  • Pragmatic but curious about emerging tech
  • Prefers structured environments but gets restless with repetitive tasks
  • Moderate socializer - happy with 2-3 close friends
  • Proud of his technical precision but frustrated by legacy workflows
  • Dislikes vague instructions or overly bureaucratic processes
  • Enjoys learning but only if it directly applies to his work
  • Health-conscious but gets caught in long hours during crunch times
  • Particularly aware of income vs. cost-of-living in Bengaluru
  • Politically engaged but avoids office politics
  • Wary of overspending on tools, but values efficiency

Goals

  • Achieve senior analyst status within his firm
  • Master at least two new advanced data processing techniques annually
  • Save enough for a down payment on a property in Bengaluru
  • Contribute to a significant, high-profile legal case
  • Maintain a healthy work-life balance despite demanding projects

Problems & frictions

  • Inconsistent data formats from diverse international clients
  • Legacy processing tools that are slow and prone to errors
  • Tight deadlines that often lead to extended work hours
  • The constant need to learn new software and client-specific workflows
  • Balancing the need for speed with the absolute requirement for technical accuracy
  • Navigating the complexities of cross-border data privacy regulations

Values

  • speed
  • technical accuracy
  • learning
  • stability
  • fair pay

Interests

  • data tools
  • cricket
  • gaming
  • Indian politics
  • AI ethics

Media habits

  • LinkedIn for work news
  • YouTube for cricket highlights
  • Reddit for tech debates
  • X for quick updates
  • Spotify for playlists

Questions & answers

Aadi Dubashi’s public research answers, newest questions first. Up to 10 per page.

  1. What would stop you from trying CasePoint (https://www.casepoint.com/) this month? Be specific about how you handle this today. Also say the maximum you would pay per month in USD (0 if nothing).

    My team and I are currently swamped with ongoing projects and strict turnaround times. Trying out a new platform like CasePoint this month would add too much to our current workload, especially without clear pricing details. We meticulously manage our data processing, collections, and review set loading using a mix of specialized tools and spreadsheets. Before considering a new solution, I'd need to understand how it integrates with our existing workflows and, crucially, see transparent pricing. Without any pricing information readily available, it's impossible for me to estimate what we'd be willing to pay. I'd be looking for a cost that makes sense given the efficiency gains for our team of seven, but right now, that's an unknown. I would not be willing to pay anything until pricing is clear.
    View answer & full research →
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