Data analysis & SQL
Query, clean and explore data to spot patterns, answer business questions and make the reasoning behind a finding visible.
A B.Tech graduate building practical skills in Python, MySQL, Power BI, machine learning and deep learning. I like connecting the technical work to the real question behind it — with a current focus on healthcare workflows and my Hospital Management project.
I'm building a career around asking better questions, working carefully with data, and communicating what the numbers actually say.
I want my work to do more than look technical. I want it to help someone make a clearer decision.
My foundation combines a B.Tech background with data science training and hands-on learning across Python, SQL/MySQL, Power BI, machine learning and deep learning. I am now focused on turning that foundation into reliable, well-explained projects that a hiring team can inspect and discuss.
One project I'm developing is a Hospital Management System prototype. It gives me a familiar real-world setting to think about workflows, structured information, usability and the kinds of questions that operational data can answer. The next step is to document the project more deeply and connect the workflow to measurable analysis.
I'm seeking an entry-level role where I can contribute to analysis and reporting today while continuing to deepen my modelling skills through practical work.
Query, clean and explore data to spot patterns, answer business questions and make the reasoning behind a finding visible.
Present the right metrics in a clear visual hierarchy so a stakeholder can scan performance and ask the next useful question.
Build a sound foundation in model training and evaluation, and learn to explain why a model works, where it struggles and what to improve.
These are the areas I've studied and practiced so far. I prefer to be clear about the level of my experience rather than claim expertise I haven't yet earned.
See skills in contextTool-specific libraries, versions and proficiency should be added as I validate them against completed projects.
One featured project is shown today. The remaining cards are honest placeholders for future case studies — not claimed accomplishments — and can be replaced as you share your project details.
An interactive HTML prototype exploring how a hospital workflow can be organized through a clear, accessible interface. The next case-study pass will document workflows, data structure and analytics opportunities.
A space for a real MySQL analysis: define a business question, write readable queries, validate results and explain the decisions the findings could support.
A future dashboard case study showing its audience, business KPIs, data model, key visuals and the practical action a reader should take from each finding.
A future machine learning project documenting the baseline, data split, evaluation metric, error analysis and limitations — not just a headline accuracy score.
Portfolio principle: show the problem, process, evidence, result and limitations. Real metrics, dataset details and GitHub links will be added only when they are verified.
This is the structure I want every project in this portfolio to make visible — from the first question to the final explanation.
Clarify the stakeholder, the decision and what a useful answer would look like.
Inspect data quality, check assumptions, handle gaps and keep transformations traceable.
Use queries, visuals or models that fit the question, and test whether conclusions hold up.
Share the finding, caveats and a practical recommendation in language the audience can use.
I'm actively looking for a first opportunity where solid fundamentals, curiosity and a willingness to learn can become real team contributions. This timeline is deliberately simple until the exact education details are added.
Degree completed. Add the exact branch, college/university and graduation year before sharing this portfolio with employers.
Studied Python, MySQL/SQL, Power BI, machine learning and deep learning. Add the course provider, completion date and certificates you can verify.
Developing the Hospital Management prototype into a clearer case study and building a portfolio that makes the approach, reasoning and project links easy to review.
Targeting entry-level Data Analyst, BI Analyst, Reporting Analyst and Junior Data Scientist opportunities, depending on the role requirements.
I'm looking for an opportunity to contribute, learn from experienced teammates and turn data into work people can act on. If my background fits your opening, I'd be glad to connect.
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