Dev Prince

Business Analyst Intern

Kochi 0+ yrs exp 81 · Excellent

About

Computer Engineering graduate with experience in data analysis, machine learning and predictive modeling using Python and SQL. Skilled in building data-driven solutions, feature engineering, and extracting insights from large datasets. Interested in leveraging data analytics to drive decision-making and solve real-world business challenges.

Skills & Expertise (18)

Critical thinking Intermediate

7.0/10

0.25

Years Exp

Adaptability Intermediate

7.0/10

0.25

Years Exp

Strong Communication Intermediate

7.0/10

0.25

Years Exp

Excel Intermediate

7.0/10

0.25

Years Exp

SQL Intermediate

6.5/10

0.25

Years Exp

Power BI Intermediate

6.0/10

0.25

Years Exp

Stakeholder Management Intermediate

6.0/10

0.25

Years Exp

Data Cleaning Intermediate

6.0/10

0.25

Years Exp

Python Intermediate

5.5/10

0.25

Years Exp

Exploratory data analysis Intermediate

5.5/10

0.25

Years Exp

Pandas Intermediate

5.5/10

0.25

Years Exp

NumPy Intermediate

5.0/10

0.25

Years Exp

Predictive Analytics Intermediate

5.0/10

0.25

Years Exp

scikit-learn Intermediate

5.0/10

0.25

Years Exp

MySql Intermediate

5.0/10

0.25

Years Exp

Matplotlib Beginner

4.5/10

0.25

Years Exp

Postgresql Beginner

4.0/10

0.25

Years Exp

OOP Beginner

4.0/10

0.25

Years Exp

Work Experience

Business Analyst Intern

Neogreen Infrasolutions

Jun 2025 - Aug 2025

Assisted in analyzing and tracking solar panel, CCTV, and LED installation and service operations across 10+ ongoing client projects, maintaining operational reports using Excel and Power BI and monitoring workflows to improve visibility into project execution and servicing activities across ongoing client projects. Prepared and maintained installation and service reports, monitored project activities, and coordinated with technical and field teams to understand business requirements, support data-driven operational tracking, and streamline service execution.

AI/ML Intern

Internz Learn

May 2024 - Jun 2024

Identified key drivers of housing prices using 1,000+ listings, uncovering the impact of living area and diminishing returns beyond 3–4 bedrooms, along with premium features like waterfronts and views; built a pricing prediction dashboard and performed data cleaning, EDA, feature engineering, and regression modeling. Used advanced SQL (CTEs, joins, subqueries) to analyze 5000+ job and salary datasets, identifying high-paying companies and in-demand skill trends.