Open to Entry-Level Opportunities

Data Analyst • Business Intelligence

Turning Data
Into Insights.

Pranav Prakash Bhosale

I'm Pranav Prakash Bhosale, a Computer Engineering graduate focused on Data Analytics and Business Intelligence. I use Python, SQL, Power BI and Excel to transform data into actionable insights and support data-driven decisions.

About Me

From Computer Engineering
to Data Analytics.

I am a Computer Engineering graduate focused on Data Analytics and Business Intelligence. I enjoy working with data to uncover patterns, build meaningful visualizations, and solve practical business problems.

Through academic, capstone, and practical projects, I have worked with Python, SQL, Excel, Power BI, and Machine Learning to analyze real-world datasets and turn raw information into actionable insights.

I am currently seeking entry-level opportunities where I can apply my analytical skills, contribute to data-driven decision making, and continue growing as a Data Analyst or Business Intelligence professional.

↗

Data Analytics

Data cleaning, EDA, statistical analysis, KPI analysis and business insights.

→
↗

Business Intelligence

Power BI dashboards, DAX, Power Query, data modeling and decision-focused reporting.

→
↗

Python & SQL

Python-based analysis with Pandas and NumPy, alongside SQL querying and relational database analysis.

→
↗

Machine Learning

Exploratory analysis, preprocessing, classification, regression and model evaluation using Scikit-learn.

→

My Approach

From raw data to
better decisions.

I approach analytics as a complete process — understanding the business question first, transforming data into meaningful insights, and communicating results that support better decisions.

Insight-driven analytics
01→

Understand

Define the business question and identify the right metrics.

02→

Clean

Prepare, clean and structure raw data for reliable analysis.

03→

Explore

Discover patterns, trends, outliers and relationships.

04→

Analyze

Apply statistical methods and analytical techniques to answer the question.

05→

Visualize

Build clear dashboards and visualizations that communicate findings effectively.

06✓

Recommend

Translate findings into actionable recommendations for decision-making.

Analytics Snapshot

Data at a glance.

A snapshot of the scale of data I have worked with across my analytics and machine learning projects.

Logistics Records

211K+

Shipment, warehouse and inventory records analyzed in the LogiTech capstone project.

E-Commerce Orders

99K+

Orders analyzed to understand customer behavior, products, revenue and business performance.

Banking Customers

10K

Customer records analyzed to identify churn patterns and retention opportunities.

Projects

5+

Practical projects spanning data analytics, business intelligence, machine learning and AI.

Featured Projects

Turning analysis into
real-world solutions.

A selection of projects where I used data analytics, business intelligence, Python, SQL and machine learning to solve practical problems and generate meaningful insights.

LogiTech Executive Financial Overview Dashboard
Power BI • Executive Dashboard

01

LogiTech — Logistics & Warehousing Analytics

Capstone Project

An end-to-end analytics solution covering shipment delivery, warehouse operations, inventory management, financial KPIs, statistical analysis and shipment-cost prediction.

ExcelSQLPythonPower BIMachine Learning

DATA

211,457 records

BEST MODEL

Random Forest

MODEL R²

0.30

PhishGuard AI phishing detection interface
AI + Cybersecurity

02

PhishGuard NextGen

AI-powered phishing detection system using URL and HTML analysis, MobileBERT, NLP, FastAPI, Streamlit and Explainable AI.

PythonMobileBERTFastAPIStreamlitNLP
E-Commerce Customer Behavior Power BI Dashboard
Business Intelligence

03

E-Commerce Customer Behavior

Multi-page Power BI dashboard analyzing customer behavior, products, revenue, orders and business KPIs using Power Query, DAX and data modeling.

Power BIDAXPower QueryData Modeling
Banking Customer Churn Analysis Dashboard
Machine Learning

04

Banking Customer Churn Prediction

Machine Learning

Analyzed 10,000 customer records using exploratory data analysis and statistical testing and compared classification models to identify churn drivers and retention opportunities.

PythonPandasScikit-learnEDAStatistics

CUSTOMERS

10K

BEST MODEL

Random Forest

ACCURACY

86.45%

Professional Experience

Practical experience,
real-world exposure.

Internship experience across Generative AI, data preparation, Python, APIs and relational databases.

Jan 2026 — May 2026

Data Annotation & Generative AI Intern

Artine Technologies LLP · Goa

Generative AI

Gained practical exposure to data annotation, data preparation workflows and the foundations of Generative AI through internship activities.

FOCUS

Data Annotation

AREA

Generative AI

EXPOSURE

AI Workflows

Feb 2024 — Mar 2024

Python Full Stack with Cloud Computing Intern

Softmusk Info Pvt. Ltd.

Python

Gained practical exposure to Python, REST APIs, relational databases and backend application development.

PythonREST APIsRelational DatabasesBackend Development

Technical Skills

Tools I use to
turn data into insights.

A focused toolkit built around data analysis, business intelligence, machine learning and practical data workflows.

01

Programming & Querying

PythonSQL

02

Data Analytics

PandasNumPyMatplotlibSeabornEDAStatistical Analysis

03

Business Intelligence

Power BIExcelDAXPower QueryData ModelingDashboard DevelopmentKPI Reporting

04

Machine Learning

Scikit-learnData PreprocessingModel EvaluationClassificationRegression

05

Databases & Tools

MySQLGitGitHubJupyter NotebookStreamlit

Core Toolkit

Python · SQL · Power BI · Excel · Machine Learning

Data Analytics

Education & Certifications

Building knowledge,
continuously.

Academic foundation and professional training supporting my journey into Data Analytics and Business Intelligence.

2026

Bachelor of Engineering — Computer Engineering

University of Mumbai

CGPA

8.62 / 10

Computer EngineeringData AnalyticsProgrammingDatabase Systems

Certifications

Professional learning

Data Analytics

Data Analytics with GenAI

NIIT Professional Program

Training covering Excel, SQL/MySQL, Python, Power BI, statistics, machine learning, EDA and Generative AI.

Machine Learning

Machine Learning

Internshala

Practical training in machine learning concepts and implementation.

Python

Python

Infosys Springboard

Python programming training and practical learning.

Cybersecurity

Cybersecurity Essentials

Cisco Networking Academy / NIIT Foundation

Foundational cybersecurity training covering core security concepts.

Additional Training

IIT Bombay / Spoken Tutorial Training

SQL, Python & Java

Additional technical training completed through the Spoken Tutorial initiative.

Resume

Let's talk about
what I can bring.

Explore my education, technical skills, internships and project experience through my one-page resume.

Education

BE Computer Engineering

Focus

Data Analytics & BI

Core Skills

Python · SQL · Power BI · Excel

Get In Touch

Let's build something
meaningful with data.

I'm currently seeking entry-level opportunities in Data Analytics, Business Intelligence and Power BI. If you're looking for someone who enjoys working with data and turning it into actionable insights, I'd be happy to connect.

Available for entry-level opportunities