Aswathi Kiran Transitioned to a Data Analyst Role

Balancing family responsibilities and professional aspirations, Aswathi Kiran from Kerala embraced a transformative journey with DataMites to emerge as a skilled Data Analyst at SFO Technologies. In this interview-style article, she shares her career shift, tool mastery, strategic insights, and empowering advice for others navigating a similar path.

Aswathi’s Inspiring Journey to Become a Data Analyst

Aswathi’s journey from a mathematics graduate and a homemaker to a successful Data Analyst at SFO Technologies is a story of resilience and determination. Despite a three-year career break and personal responsibilities, she sharpened her skills in Top IT Courses with DataMites and pursued her passion for data. Her transformation offers inspiration to countless others, especially women restarting their careers in tech.

Q: Can you briefly introduce yourself and your career journey?

Aswathi: I hold an MSc in Mathematics from Kerala. After a three-year career break during motherhood, I joined DataMites for a six-month data science internship. Post-training, I worked as a data science tutor and then moved to a Data Analyst role at SFO Technologies—balancing family and career.

Q: What tools and technologies do you use daily at SFO Technologies?

Aswathi: We work with Excel (including macros and VBA), SQL, Power BI, and Tableau. Our dashboards—built using Power BI/Tableau—manage inventory, supply chain planning, and performance metrics for MNCs in electronics manufacturing.

Q: How did you prepare for interviews and skill development?

Aswathi: I set short-term goals focusing on tools like Python, Excel (macros/VBA), and SQL. Consistent daily study helped me remain focused and confident.

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Q: Is programming required for your current role?

Aswathi: Yes, but mainly light coding—using SQL for database querying and implementing basic ML models in Power BI. It’s essential but not heavily technical.

Q: Do data analysts need machine learning knowledge?

Aswathi: Basic awareness is crucial. Data analysts clean and prepare data before ML can be applied. Knowing data management ensures successful model deployment later.

Q: Should non-tech professionals aim for Data Science directly, or start with Data Analyst roles?

Aswathi: I recommend a phased approach: start as a data analyst, hone core skills, then advance to data science. The analyst role offers balance and acts as a springboard.

Key Takeaways from Aswathi’s Journey into Data Analytics

Aswathi’s inspiring journey from a career break to becoming a successful data analyst offers valuable lessons for aspiring professionals, especially those looking to restart or pivot into the tech industry.

1. Career Breaks Can Be Productive: Aswathi’s three-year maternity break didn’t stop her career aspirations. Instead, she used the time strategically to upskill through professional training, proving that life pauses can be stepping stones.
2. Mastering Core Tools is Essential: Proficiency in tools like Excel, SQL, Python, Power BI, and Tableau was fundamental to Aswathi’s success. These technologies form the foundation for any data analytics role.
3. Short-Term Goals Drive Long-Term Success: Setting achievable, short-term learning goals helped Aswathi stay focused and motivated, enabling steady and structured progress in a complex field.
4. Programming is Useful—but Manageable: While advanced programming isn’t always mandatory for data analysts, Aswathi highlighted the importance of SQL and BI tool fluency. These skills enable analysts to manipulate and present data effectively.
5. Data Preparation is Crucial for Analytics: Aswathi emphasized the importance of understanding and cleaning data before applying machine learning models. Proper data preparation ensures accuracy and reliability in insights.
6. Start with Data Analytics for Strong Foundations: Entering the field as a data analyst provided Aswathi with clear direction, professional exposure, and a balanced workload—ideal for reentering professionals.
7. Build Skills Incrementally Toward Data Science: Aswathi continues to upskill in Python and deployment tools with the goal of transitioning into a data scientist role. Her journey reflects how steady growth and layered learning can lead to advanced tech careers.

Aswathi’s story is a powerful reminder that with support, well-structured learning, and gradual upskilling, transitioning into data analytics is attainable and rewarding—even in unconventional career paths. India’s data analytics market is growing at an impressive pace, currently valued at USD 2.6 billion in 2024 and projected to reach USD 27.0 billion by 2033, with a robust CAGR of 27.46%, as reported by the IMARC Group.

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Pursuing an offline Data Analyst course in Kochi or other prominent tech hubs like Bangalore, Chennai, Coimbatore, Hyderabad, Ahmedabad, Delhi, Chandigarh, Jaipur, and Mumbai offers learners a gateway to real-time industry exposure, valuable networking opportunities, and accelerated career growth in the fields of data analytics and software development.

Complementing this pathway, DataMites success stories continue to inspire—demonstrating how individuals from diverse backgrounds have successfully transitioned into rewarding careers through structured training, practical project experience, and expert mentorship.

DataMites Institute is widely recognized as a leading provider of professional training in Data Science, Artificial Intelligence, Machine Learning, Python Programming, Data Analytics with internship, Data Engineering, and IoT. Our practical, project-based approach ensures that learners gain hands-on experience and are job-ready. Backed by internship opportunities and dedicated placement support, DataMites empowers you to build a successful data-driven career.

What distinguishes DataMites is its unwavering focus on quality education and global credibility. Our certifications are internationally recognized, accredited by respected organizations like IABAC and NASSCOM FutureSkills, which adds immense value to your professional profile and boosts employability in today’s competitive tech landscape.

Alongside our Data Analyst training in Trivandrum, DataMites offers flexible learning opportunities in several key Indian cities such as Pune, Hyderabad, Coimbatore, Ahmedabad, Chandigarh, Chennai, Delhi, Jaipur, and Mumbai—bringing industry-relevant training closer to aspiring professionals across the country.