EXPERIENCE

Where I learned by doing.

RESEARCH × BUSINESS × DATA

My experiences have taken me from a research environment at IIRS–ISRO to my first corporate role at Dow, with a few very different experiences in between.

Each one taught me something different — about data, people, responsibility and the way I approach problems.

01 — THE THREAD

Every experience taught me something different.

I don't see my experiences as separate roles on a timeline. Each one added something to how I work today.

At IIRS–ISRO, I learned what it feels like to work alongside people with much more experience than me. At Dow, I learned how to work in a corporate environment for the first time.

My freelance work at Soul AI taught me that putting in the effort to improve can lead to greater responsibility. And while working with children at Government P.S. Baskhedi, I learned to create useful solutions with whatever resources were available.

The environments were different, but the lessons were connected: stay curious, learn quickly, take responsibility and find a way forward.

02 — MAJOR EXPERIENCES

2026 MAY — SEPTEMBER NAVI MUMBAI

MANAGEMENT INTERN

Dow

Integrated Supply Chain Improvement

Dow was my first corporate experience, and it was also my first opportunity to see how the things I had learned academically come together in a real business environment.

I worked across process analysis, customer analytics, business reporting and stakeholder collaboration. The experience helped me understand that solving a business problem is not only about getting the numbers right — it is also about understanding the process, the people involved and what the analysis needs to help achieve.

Process Analysis

Studied existing processes to understand where improvements could be made.

Customer Analytics

Worked with customer-related data to identify patterns and areas that needed attention.

Business Reporting

Helped structure and present information in a way that was easier to understand and use.

Stakeholder Collaboration

Worked with different stakeholders and learned how to communicate clearly across functions.

What stayed with me: My first corporate experience taught me how to find my footing in a professional environment. I became more comfortable asking questions, taking ownership, communicating with different people and actively seeking feedback. It showed me that being willing to learn is one of the most useful strengths you can bring into a new environment.

PYTHON POWER BI DATA ANALYSIS PROCESS MAPPING BUSINESS ANALYSIS

2025 MAY — JULY DEHRADUN

DATA ANALYTICS SUMMER INTERN

IIRS — ISRO

Remote Sensing & Hyperspectral Data Analytics

IIRS–ISRO was one of my earliest experiences with research in a professional setting. I worked with hyperspectral and geospatial data, using Python and machine-learning techniques to study spectral patterns and classify materials.

What made the experience especially memorable was the environment I was working in. I was a second-year student and the youngest person in the research group, surrounded by doctoral and postdoctoral researchers.

I had a lot to learn, and being in that environment pushed me to learn quickly and become comfortable asking questions.

Spectral Analysis

Worked with hyperspectral data to understand spectral patterns across materials.

Data Workflows

Built structured Python-based workflows for working with complex datasets.

Machine Learning

Explored machine-learning approaches for material-level classification.

Research Communication

Learned to communicate technical work clearly in a research environment.

1,000+ Spectral datasets analysed

50+ Spectral bands

10+ Material classes

What stayed with me: Being the youngest person in the room taught me that I do not need to know everything before I can contribute. I learned to listen to people with greater experience, ask thoughtful questions and have the confidence to keep learning even when the subject was unfamiliar.

PYTHON NUMPY PANDAS SCIKIT-LEARN REMOTE SENSING MACHINE LEARNING

03 — ADDITIONAL EXPERIENCE

The experiences that came before.

2024

Soul AI

FREELANCE DATA ANNOTATOR → QUALITY ASSURANCE

Soul AI was my first freelance experience. I worked on LLM training and validation using market-research data and structured evaluation workflows.

I started as a Data Annotator and, as I became more experienced and improved the quality of my work, I was given the opportunity to move into Quality Assurance.

What I learned: Taking the initiative to learn and continuously improve can lead to greater responsibility.

2024

Government P.S. Baskhedi

SUMMER HELPER · COMMUNITY SERVICE

I worked with underprivileged children and created simple learning activities using materials that were already available around them.

We turned tablet scraps into counting tools, used rocks to introduce colours and created other learning activities through a best-out-of-waste approach.

Instead of starting with what was missing, I learned to look at what was already available and think about how it could be used differently.

What I learned: Resourcefulness starts with understanding the situation. Sometimes the best solution is not about having more resources, but about using the ones you already have creatively.

04 — WHAT I TAKE FORWARD

The way I approach new problems.

Looking back, the most valuable part of these experiences was not a particular project or tool. It was learning how to approach situations I had never been in before.

I learned to listen before assuming, ask questions when something is unclear, learn from people around me and take responsibility for the work I do.

Stay curious

I like understanding how something works before deciding how it can be improved.

Keep learning

I am comfortable entering situations where I still have a lot to learn.

Make it useful

I care about whether the work actually helps solve the problem in front of me.

Ready for the next problem.

I am looking for opportunities where I can keep learning, work with people who challenge my thinking, and use analytics, finance and business thinking to solve meaningful problems.

Let's talk →