I Am Ranjith A R

I build

Software Engineer focused on building reliable software, exploring AI and Machine Learning, and turning complex problems into useful products. I bring a data-minded approach to engineering, from backend logic and databases to intelligent, data-driven systems.

Build

SOFTWARE & SYSTEMS

Explore

AI & MACHINE LEARNING

Connect

DATA-DRIVEN THINKING

Get to Know Me

About Me

I'm a Software Engineer who enjoys understanding how systems work, solving problems with code, and building software that is useful beyond a demo. My core interests are Python, backend development, databases, software design, and the engineering practices that make applications reliable and maintainable.

I’m also enthusiastic about Artificial Intelligence and Machine Learning, especially how intelligent capabilities can be integrated into real applications. My background in SQL, data pipelines, analytics, and visualization remains an advantage: it helps me reason about data quality, system inputs, and the outcomes software is meant to deliver. I’m focused on growing as an engineer while continuing to build practical projects and strengthen my fundamentals.

Full Name Ranjith A R

Email Address 24ranjith2003@gmail.com

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Where I contribute

Professional Experience

Experience across software engineering and data analytics.

Current role

Software Engineer

Pinnacle Talent Group

Bengaluru, India · On-site

2026 – Present

Building professional software engineering experience and strengthening practical development skills.

Role details
Specific responsibilities, technologies, and project outcomes will be added as they are finalized.

Previous experience

Data Analyst Intern

AI Variant

Bengaluru, India · Internship

Aug 2025 – Feb 2026 · 6 mos

Completed a six-month internship in a data analytics role, gaining early professional exposure to data-focused work.

Technical toolkit

Core Skills

A focused overview of the tools and concepts I work with.

Software Engineering

PythonOOPDSAGit & GitHub

AI & Machine Learning

Scikit-learnRegressionClassificationPredictive Modeling

Data & Databases

SQLMySQLPandasNumPy

Analytics & BI

Power BITableauExcelDAX

Professional Portfolio

Featured Projects

HELIX

Python • SQL • MySQL • Power BI • ETL • Data Engineering • Analytics Engineering

Objective: Design and develop an enterprise-grade Data Intelligence Platform that transforms raw operational data into actionable business intelligence through scalable analytics workflows.

Implementation: Built an end-to-end data platform featuring synthetic enterprise dataset generation, MySQL database design, Python-based ETL pipelines, advanced SQL analytics, KPI engineering, and interactive Power BI dashboards.

Outcomes: Delivered a centralized decision-support platform capable of monitoring operational performance, revenue trends, customer analytics, inventory insights, and executive KPIs while demonstrating end-to-end analytics engineering and data engineering practices.

View on GitHub

SUPPLYSCOPE

Python • SQL • Power BI • Forecasting

Objective: Develop a supply chain intelligence platform to monitor inventory performance, supplier reliability, logistics efficiency, and demand trends.

Implementation: Engineered a complete analytics solution involving SQL data modeling, Python-based analysis, KPI development, forecasting techniques, and executive Power BI dashboards.

Outcomes: Enabled inventory optimization, stockout risk reduction, supplier performance evaluation, and data-driven operational planning.

View on GitHub

JOBTELLECT

Python • SQL • Power BI • Data Analytics

Objective: Analyze job market trends, skill demand, salary benchmarks, and hiring patterns across industries and locations.

Implementation: Built an end-to-end analytics workflow using Python, SQL, and Power BI to collect, transform, analyze, and visualize workforce intelligence data.

Outcomes: Identified in-demand skills, salary insights, hiring hotspots, and emerging career opportunities through interactive dashboards.

View on GitHub

Customer Churn Prediction

Python • Scikit-Learn • Pandas • NumPy

Objective: Develop machine learning system to identify customers at risk of attrition

Implementation: Conducted comprehensive exploratory data analysis, feature engineering, and model development with predictive accuracy optimization

Outcomes: Generated actionable retention strategies and business recommendations based on model predictions

View on GitHub

Tamil Nadu Election Analysis

SQL • Power BI • Data Analysis

Objective: Comprehensive analysis of electoral voting patterns and trends

Implementation: End-to-end analytics pipeline utilizing SQL queries and interactive Power BI dashboards

Outcomes: Party performance metrics, constituency analysis, and regional voting pattern insights

View on GitHub

Global Layoffs Analytics

SQL • Python • Power BI • Excel

Objective: Analyze global workforce reduction trends in post-pandemic economy

Implementation: Developed interactive Power BI dashboard analyzing 10,000+ layoff records across multiple dimensions

Outcomes: Identified affected industry sectors, regional impact patterns, and workforce recovery trajectories

View on GitHub

Bank Analytics Dashboard

SQL • Power BI • Excel

Objective: Monitor customer behavior patterns and key financial performance indicators

Implementation: Created comprehensive customer segmentation dashboard utilizing SQL database queries and advanced business intelligence visualization

Outcomes: Customer lifetime value optimization, loan default prediction, and revenue enhancement opportunities

View on GitHub

Human Resources Analytics

Power BI • Excel • HR Analytics

Objective: Analyze employee attrition patterns and retention factors

Implementation: Developed comprehensive analytical dashboard processing 1,500+ employee records with detailed workforce metrics

Outcomes: Attrition root cause identification, departmental trend analysis, and compensation benchmarking

View on GitHub

E-Commerce Sales Analytics

Power BI • Excel • Sales Analytics

Objective: Monitor e-grocery platform sales performance metrics across multiple outlets

Implementation: Engineered multi-dimensional analytical dashboard tracking 100+ product categories with performance metrics

Outcomes: Top-performing product categories identified, outlet return-on-investment analysis, and seasonal trend forecasting

View on GitHub

FIFA World Cup Analytics

Power BI • SQL • Sports Analytics

Objective: Historical analysis of FIFA World Cup performance metrics and tournament data

Implementation: Created dynamic Power BI analytical platform integrating 75+ years of comprehensive tournament dataset

Outcomes: Team performance rankings, goal-scoring pattern analysis, and tournament win probability predictions

View on GitHub

Professional Credentials

Verified Certifications

Click any certificate to view details

Machine Learning Specialization

DeepLearning.AI · Stanford Online · Coursera

Currently learning · Not yet listed as completed

The Joy of Computing Using Python

National Programme on Technology Enhanced Learning (NPTEL)

Introduction to Data Analytics

Meta Professional Certificate via Coursera

Foundations: Data, Data, Everywhere

Google Data Analytics Professional Certificate

Introduction to Data Analytics

IBM Professional Certificate via Coursera

Career Essentials in Data Analysis

Microsoft & LinkedIn Learning

Data Analysis Using Python

IBM Professional Certificate via Coursera

Professional Highlights

Career Highlights

Built Enterprise Data Products

Designed and developed flagship platforms including HELIX, SUPPLYSCOPE and JOBTELLECT, demonstrating end-to-end capabilities across analytics, engineering and business intelligence.

End-to-End Data Pipelines

Built complete workflows covering data generation, SQL databases, ETL pipelines, KPI development, analytics and interactive dashboard reporting.

Cross-Domain Analytics

Delivered analytical solutions across supply chain, workforce, HR, banking, elections, customer analytics, retail and sports using diverse business datasets.

Decision Intelligence Focus

Focused on building decision-support systems that transform raw operational data into meaningful business insights instead of creating standalone dashboards.

Multi-Role Engineering

Combined the responsibilities of Data Analyst, Business Analyst, Analytics Engineer and Data Engineer while developing complete analytics products.

Continuous Product Building

Continuously expand technical capabilities by building increasingly complex products that integrate analytics, engineering, automation and business intelligence.

Let's Connect

Contact Information

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I typically respond within 24–48 hours.