Darshan A
@darshana
Passionate data scientist turning raw data into actionable insights through ML, deep learning, and LLM-powered analytics.
What I'm looking for
I’m a passionate Data Scientist who genuinely enjoys turning raw data into meaningful insights. During my internship at Take it Smart (OPC) Private Limited, I worked on real-world machine learning and deep learning problems—building predictive models, designing LLM-powered analytics tools, and automating data pipelines end-to-end. I focus on end-to-end data handling, feature engineering, and EDA to deliver high-quality inputs, and I’m comfortable deploying solutions using modern data workflows.
I enjoy making complex models both accurate and easy for non-technical stakeholders to understand. In my projects, I built an interactive health insurance price prediction app, a heart disease risk prediction pipeline with interpretable techniques and SMOTE, a customer churn dashboard with Tableau, and a conversational LLM-powered data analysis bot that auto-generates Python/SQL logic and returns summarized insights with visualizations in Streamlit. I’m actively looking for a role where I can apply business intelligence practices, support data-driven decision making, and grow as a data science professional.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Take It Smart (OPC) Private Limited
Feb 2026 - May 2026 (3 months)
Developed and evaluated ML classification and regression models on structured datasets with 10,000+ records, performing end-to-end data handling, feature engineering, and EDA. Built automated entity-data sourcing/loading to databases and used LLMs with n8n to run NLP-driven analytics and generate stakeholder-ready reporting.
Education
Degrees, certifications, and relevant coursework
Cambridge Institute of Technology – North Campus
Bachelor of Engineering, Electronics and Communication Engineering
2022 -
Pursuing a Bachelor of Engineering in Electronics and Communication Engineering at Cambridge Institute of Technology – North Campus.
Availability
Location
Authorized to work in
Job categories
Skills
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