Extenso Data

1. About the Company

eXtensoData is a data‐analytics company based in Nepal that equips businesses with tools to optimise operations, reduce costs and identify new opportunities. It was founded in 2018.
The company is led by Suresh Gautam (CEO & Co-Founder) among its founding leadership.
With its mission to “turn data into actionable insights,” eXtensoData offers services around big-data consulting, data engineering, forecasting, process automation and optimisation. 

2. Size & Locations

• Headquarters: 10th Floor, M & S Tower, Pulchowk, Lalitpur, Bagmati Province, Nepal.
• Employee Strength: Company size listed as 11-50 employees on LinkedIn.
• Industry: Data Analytics, Big Data, AI/ML Services, Software Development
• Customer Reach: Serves clients in banking, insurance, telecom, media, retail, asset management and hospitality sectors. 

3. Technologies Used

Here is a simplified breakdown of their likely technology ecosystem, based on their service offerings:

• Backend / Data Engineering: Data warehousing platforms (RDBMS, NoSQL, data-lakes), ETL/ELT pipelines. 

• Analytics & AI: Predictive analytics, machine-learning models, risk/credit scoring tools (e.g., “Financial Credibility Index”). 

• Frontend / Business Intelligence: Data-visualisation and BI tools on top of their data-platforms. 

• Infrastructure / DevOps: Scalable data platforms, automation of reporting and analytics workflows. 

4. Hiring Process

Although the detailed steps are not fully publicly documented, typical process inferred for technical/analytics roles:

  1. Application Submission Via company career portal or job listing.
  2. HR Screening Communication and basic fit.
  3. Technical / Analytical Assessment Data engineering / analytics skills, ETL/data-pipeline tasks.
  4. Technical Interview Focus on domain of data/analytics, problem solving, tools & infrastructure.
  5. Managerial / HR Interview Behavioural and culture fit.
  6. Offer & Onboarding Finalise role, compensation, join.

5. Skills Required

Technical Skills
• Data engineering: ETL/ELT design, data warehouse design, large volume data handling.
• Machine Learning / Analytics: Predictive modelling, risk scoring, analytics workflows.
• Databases: RDBMS (SQL) and possibly NoSQL/data-lake technologies.
• BI/Visualisation: Transforming raw data into insights, dashboards, story-telling through data.

Soft Skills
• Strong analytical and problem-solving ability.
• Good communication and collaboration (especially working with data and business stakeholders).
• Adaptability to fast-changing data domains, continuous learning mindset.

Domain Knowledge
• Understanding of business processes in banking/finance/insurance/retail where data-analytics delivers value.
• Awareness of data-governance, data-quality, and transforming raw data into actionable insights.

6. Work Culture

Based on public information:
Strengths:
• Opportunity to work in a specialised data-analytics firm in Nepal, potential for high-impact work with business/finance clients.
• Engagement with modern analytics and data-driven transformations.
Areas to clarify:
• Growth path, salary/compensation (analytics firms sometimes vary greatly).
• Specific technologies/tools used in project teams (will depend on job posting).

Overalll, eXtensoData offers a promising environment for someone with interest in data engineering, analytics and building business-impact through data.

7. Alumni Insights

(“written on company visit”)

8. References / Links

Summary

eXtensoData is a Nepal-based data analytics and AI/ML firm founded in 2018 by Suresh Gautam (CEO & Co-Founder), acting as a specialist in turning business data into actionable insights. The company covers the full stack of data engineering, analytics, BI and works across sectors like banking, finance, retail and telecom. Given your background (CS student, interest in software dev and data) this could be a relevant opportunity especially if you want to focus on analytics/data rather than pure software engineering.