Chrispin Joseph

Hello, I'm

Chrispin Joseph

Data Analytics | Data Science | Business Intelligence

I turn raw data into meaningful insights that drive business decisions. From data cleaning to dashboards, I create solutions that deliver real impact.

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Data Analytics
Business Intelligence
Data Science

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 Odoo (Basic ERP Concepts & Workflow Understanding)

Data Engineering & Cloud

AWS (S3, EC2 – Basics) Cloud Computing Concepts ETL Concepts

Experience

Data Analytics Intern

Netcom Academy, Kochi

Aug 2025 - Jan 2026
  • Data Management: Managed the end-to-end cleaning of a 19,298+ record CRM dataset using Python (Pandas); standardized regional data across 39 districts to ensure reporting accuracy.
  • Data Quality Improvement: Resolved data entry gaps by developing a keyword-matching logic to categorize "Unknown" leads, successfully recovering 99% of missing lead types.
  • Business Reporting: Provided the sales team with actionable insights by building Power BI dashboards that tracked conversion rates, staff performance, and lead response times (TTC).
  • Mentorship: Supported the training department by guiding 15+ students on technical project implementation, providing support in SQL debugging, Python data cleaning, and analytical projects.

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 Engineering & BI

Cloud Retail Analytics & BI Pipeline

Built a cloud-based data pipeline using Google BigQuery to handle 50,000+ retail records, improving scalability and processing efficiency. Connected Power BI via DirectQuery and used SQL Views to transform raw data into business-ready KPIs such as real-time profit margins and regional performance. Identified key revenue drivers by analyzing high-margin regions and detecting three loss-making product categories in the Technology segment.

Improved data accessibility by implementing a centralized real-time reporting system, eliminating local storage dependency and reducing manual reporting delays.

Google BigQuery SQL Power BI
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

Get In Touch

Interested in collaborating or have an open role? Let's connect.

Email

chrispinjos@gmail.com

Phone

+91 7034679427

LinkedIn

linkedin.com/in/chrispin-joseph

GitHub

github.com/chrispin-7