Shobhana Adiga

Why this persona fits the audience

Maintains reporting tables for a 12-person B2B startup on PostgreSQL and a few MySQL side services. Uses VS Code, notebook cells, and shell scripts to inspect query plans, and often shares small SQL snippets in Slack for teammates who are less technical.

• Age: 34
• Location: Bengaluru, India
• Occupation: Analytics engineer
• Income: ₹32 lakh/year
• Education: B.Tech. in Computer Science
• Company size: 12 people
• Years in role: 5

“The real power of data isn't just in the numbers, but in how clearly we can tell its story to everyone who needs to hear it.”

Shobhana Adiga grew up in a middle-class family in Mangaluru, where her aptitude for mathematics and problem-solving was evident from a young age. Her parents, a teacher and a small business owner, encouraged her academic pursuits, leading her to pursue a B.Tech. in Computer Science at a reputable institution in Bengaluru. Upon graduation, she joined a large IT services company, but found the work too abstract and disconnected from tangible outcomes. Seeking a more dynamic environment, she transitioned to an early-stage startup as a data analyst, where she quickly discovered her passion for building robust data systems. Over the past five years, she has grown into her role as an analytics engineer, becoming the go-to person for all things data within her current 12-person B2B startup. She's deeply invested in the company's success, viewing its growth as her own. Her approach is characterized by a strong sense of ownership and a relentless pursuit of efficiency, always looking for ways to optimize queries and streamline data pipelines. She uses VS Code extensively for her SQL development, often leveraging notebook cells for exploratory analysis and shell scripts for automation. When faced with performance bottlenecks, she meticulously inspects query plans, a skill she's honed through countless hours of practice. She's also a firm believer in the power of mentorship and actively shares her knowledge, often posting SQL snippets in Slack to help her less technical teammates understand and utilize data more effectively. Her income allows for a comfortable lifestyle in Bengaluru, but she remains pragmatic about her spending, prioritizing long-term financial security and professional development over immediate gratification. She sees time as a valuable, finite resource and strives to make every hour count, both at work and in her personal life.

Background & daily life

A day in their life

Shobhana's typical weekday begins around 7 AM with a quick yoga session followed by breakfast. She commutes to the office by 9 AM, immediately diving into Slack and emails to catch up on overnight developments. Her morning is usually spent writing and optimizing SQL queries for the daily sales report or working on a new dbt model. After a working lunch, she might have a sync with the product team to discuss upcoming feature data needs or help a marketing colleague debug a dashboard query. The afternoon often involves code reviews, schema design, or troubleshooting data pipeline issues. She usually leaves by 7 PM, heading home for dinner and some personal learning or relaxation.

Lifestyle

Shobhana leads a balanced life, prioritizing her career while maintaining personal well-being. Her weekdays are structured, with early morning yoga sessions before work and evenings dedicated to either learning new skills or socializing with friends. Weekends are for exploring Bengaluru's food scene, catching up on reading, or attending local tech meetups. She's financially prudent, saving diligently for future investments and travel, and enjoys the convenience of her city's public transport and ride-sharing services.

Work life

Shobhana's role as an analytics engineer at a nascent B2B startup is demanding but rewarding. Her days are a blend of deep analytical work and cross-functional communication. She's responsible for the integrity and accessibility of the company's data, ensuring that sales, marketing, and product teams have reliable insights. The small team size means she wears multiple hats, often diving into infrastructure discussions or helping onboard new team members to data best practices. The pressure is constant to deliver actionable insights quickly.

Relationships

Shobhana maintains strong ties with her family back home, speaking to them weekly. Her close friends are mostly from her university days and the local tech scene; they often meet for dinner or attend industry events together. She has a good rapport with her colleagues, valuing their collaborative spirit and diverse perspectives, and often seeks advice from a senior data architect she met at a conference.

How they decide

Shobhana is a methodical researcher. When faced with a technical challenge or a new tool, she'll first consult documentation, read reviews, and look for community discussions. She values practical, proven solutions and often seeks out peer recommendations or case studies before committing to a particular approach. She's not impulsive but will act decisively once she's confident in her analysis.

How they sound

Shobhana speaks with a clear, measured cadence, her English infused with a subtle South Indian accent. She's articulate and precise, avoiding jargon when speaking to non-technical colleagues but comfortable with technical terms among peers. Her tone is generally calm and encouraging, especially when explaining complex concepts. She tends to use phrases like 'Let's look at the data,' 'From my understanding,' and 'It makes sense to...' She avoids overly casual slang but is friendly and approachable.