Chrispin Joseph

About Me

I’m Chrispin Joseph, an aspiring Data Analyst with hands-on experience in SQL, Python, Excel, and Power BI, working on real-world datasets to uncover actionable insights. I enjoy transforming raw data into meaningful visualizations that support business decision-making.

Alongside analytics, I have experience in data science, applying machine learning techniques and building end-to-end projects. Currently pursuing a Working Professional MBA in Analytics & Data Science.

Education & Certifications

Education

2026 - 2028

MBA, Analytics & Data Science

Manipal University Jaipur (Online | Working Professionals)
2024 - 2025

PG Diploma in Data Science & AI

Netcom Academy
2021 - 2024

B.Com in Computer Applications

Kerala University (CGPA: 6.7/10)

Certifications

Preparing Data for Analysis with Microsoft Excel

Microsoft • Jul 2025

Credential ID: 6KG724IS4ZU6

Data Analysis and Visualization with Power BI

Microsoft • Jun 2025

Artificial Intelligence Fundamentals

IBM • Apr 2025

OpenCV Bootcamp

OpenCV University • May 2025

Credential ID: de66d7cd05ae49538c113d50d0424cc7

Skills & Expertise

Data Analysis & Business Intelligence

SQL (Joins, Aggregations, Window Functions) PostgreSQL Excel (Pivot Tables, XLOOKUP, Dashboards) Power BI (DAX, Data Modeling, KPI Dashboards) Pandas, NumPy Data Cleaning & EDA Data Visualization KPI & Business Metrics Analysis

Programming & Tools

Python SQL Jupyter Notebook Git & GitHub Streamlit

Machine Learning & Deep Learning

Scikit-learn Regression & Classification Feature Engineering & Preprocessing Model Evaluation Hyperparameter Tuning CNN, ResNet-18 Grad-CAM, OpenCV

Business Analytics & Domain Skills

Customer Segmentation Revenue & Sales Analysis Funnel Analysis Cohort Analysis A/B Testing KPI Design

Experience

Data Science Intern

Netcom Academy, Kochi

Aug 2025 - Jan 2026

Performed data cleaning, transformation, and exploratory data analysis (EDA) to prepare analysis-ready datasets and generate business insights.
Built interactive Power BI dashboards to track KPIs and support data-driven decision-making.
Mentored junior students by providing guidance on data analysis concepts, machine learning fundamentals, tools, and project implementation.
Assisted in debugging and improving student projects, ensuring accurate data processing and analysis workflows.

Projects

Data Analytics

Olist E-Commerce Sales & Customer Analytics

Analyzed 11,000+ e-commerce transactions to uncover customer behavior and revenue trends. Performed data cleaning using Python and extracted insights with SQL. Built Excel dashboards to track KPIs such as sales performance, customer segmentation, and order trends.

Delivered insights into customer behavior and revenue trends to support data-driven business decisions.

Python SQL Excel

Data Analytics & BI

CRM Lead Intelligence & Conversion Analytics

Analyzed a 19,000+ real-world CRM dataset to uncover lead conversion trends and sales performance. Built interactive Power BI dashboards (DAX) with executive and drill-down views to track KPIs like conversion rate (45%), lead funnel, and channel performance. Delivered insights on revenue distribution, sales rep contribution, and regional performance to support data-driven decisions.

Identified key conversion drivers and improved visibility into sales funnel performance.

Python Pandas Power BI DAX

Data Science (NLP)

AI-Powered Support Ticket Classification

Developed an NLP-based system to automate customer support ticket classification. Fine-tuned a DistilBERT model using Hugging Face Transformers for accurate text classification. Built a Streamlit application for real-time predictions and efficient ticket categorization.

Automated ticket classification to improve support efficiency and response time.

Python Hugging Face DistilBERT Streamlit

Computer Vision

Car Damage Detection & Classification

Built a deep learning model using ResNet-18 to detect and classify car damage from images. Applied transfer learning and data augmentation to improve model performance. Deployed a Streamlit application for real-time image-based predictions.

Enabled accurate real-time damage detection for faster assessment and decision-making.

PyTorch ResNet-18 OpenCV Streamlit

Data Analytics | Data Science | Business Intelligence