Open to Opportunities

Hi, I'm
Murali Manohara

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Data Science postgraduate with a background in Electronics & Communication Engineering. I turn raw data into actionable insights using Python, SQL, Machine Learning & Visualization tools.

Murali Manohara
2+Yrs Experience

The Person Behind the Data

I'm Murali Manohara, a Data Science postgraduate at Great Lakes Institute of Management, with a background in Electronics & Communication Engineering. I specialize in transforming raw data into meaningful insights that drive business decisions.

With hands-on experience in Python, SQL, Excel, and data visualization tools, I have worked on analyzing large datasets, building predictive models, and developing dashboards to uncover patterns and optimize performance. My professional experience as an Associate Consultant has strengthened my ability to work with real-world data, understand business requirements, and deliver data-driven solutions.

I bring a unique combination of analytical thinking and client-facing experience, allowing me to not only analyze data but also communicate insights clearly to stakeholders.

I am passionate about solving real-world problems using data and continuously improving my skills to build scalable and impactful solutions.

I am actively seeking opportunities in Data Analyst, Business Analyst, or Data Science roles where I can contribute to data-driven decision making and business growth.

Data Analysis Machine Learning SQL Tableau Streamlit Business Intelligence EDA GenAI Python MS Excel

What I Work With

Skills & Technologies

Programming & Databases

Python
MySQL
SQL (Advanced)

Libraries & Frameworks

🐼 Pandas / NumPy
📊 Matplotlib / Seaborn
🤖 Scikit-learn

Tools & Platforms

📉 Tableau
📋 MS Excel
🚀 Streamlit

Machine Learning

🌲 Random Forest
XGBoost / CatBoost
🧠 EDA & Feature Eng.

Developer Tools

GitHub
📓 Jupyter Notebook
🖥️ VS Code

Soft Skills

💬 Communication
💡 Problem Solving
📈 Business Acumen

My Journey

Experience & Education

Work Experience

July 2023 – June 2025

Associate Consultant

Great Learning · Bengaluru, India

Cleaned & analyzed customer data from CRM, managing 500+ client records. Improved outreach efficiency by 8–10% via prospect segmentation. Increased lead-to-enrollment conversion by 6–8% using Excel-based funnel reporting. Conducted 25–30 analytical client interactions per week.

CRM Analysis Excel Data Segmentation Reporting

July 2022 – August 2022

Data Science Intern

Zephyr Technologies & Solutions · Mangaluru

Developed a Face Mask Detection system using Python & Scikit-learn (2000+ images). Automated data preprocessing & visualization, reducing manual reporting by 30%. Built compliance metrics reports and collaborated with a 3-member team.

Python Scikit-learn Computer Vision Data Viz

Education

2025 – Present

PG Program — Data Science & Generative AI

Great Lakes Institute of Management · Bangalore, Karnataka

Currently pursuing an industry-focused PG program covering Data Science, Machine Learning, SQL, Business Intelligence, and Generative AI with hands-on project experience.

ML & AI GenAI Business Analytics

2019 – 2023

B.E. — Electronics & Communication Engineering

NMAM Institute of Technology, Nitte · Karnataka

Graduated with a strong foundation in engineering principles, programming, and electronics. Developed analytical and problem-solving skills that now fuel data science work.

ECE Programming Engineering

What I've Built

Featured Projects

Capstone
📦

Great Lakes · Oct 2025 – Apr 2026

PostBot — India Post Infrastructure Efficiency

Diagnosed inefficiencies in India Post's postal infrastructure. Processed 1.6L+ records, engineered features (BO/PO ratios), and built ML models to predict district delivery rates. Deployed a Streamlit-based decision support system generating actionable recommendations.

R² = 0.92 using CatBoost — Best performing model
PythonCatBoostXGBoost Random ForestScikit-learnStreamlit EDAFeature EngineeringMLPandas
📊

Great Lakes

SaaS Business Intelligence & Analytics Pipeline

End-to-end analytics solution to track churn, revenue trends, and user behavior. Generated 677K+ rows of synthetic data in Python, stored in MySQL (5 tables), and built advanced SQL queries for KPI analysis, cohort analysis, RFM segmentation, and anomaly detection.

Trial plan churn 40.5% · Enterprise CLV 17.6× higher than Starter
PythonMySQLSQL RFM SegmentationCohort AnalysisTableau EDAExcelKPI AnalyticsPandas
🏏

Personal Project

IPL Win Probability Predictor

Ball-by-ball IPL win probability predictor trained on 1169 matches. Built using XGBoost for high-accuracy real-time prediction with Python and visualized using Tableau dashboards.

1169 matches · Real-time ball-by-ball prediction
PythonXGBoostML TableauEDAPandas Scikit-learnJupyter
🏗️

Personal Project

Defect Analyzer AI

A web-based Streamlit app where users upload images of building structures and get defect analysis powered by Gemini's multimodal AI model. Useful for infrastructure safety monitoring.

Gemini Vision · Real-time structural defect detection
PythonStreamlitGemini AI GenAIComputer VisionMultimodal LLM
📄

Personal Project

AI Resume Analyzer

AI-powered resume analyzer that evaluates resumes against a given job description and designation using Gemini. Provides detailed feedback and improvement suggestions to candidates.

Gemini AI · Job-fit scoring with actionable feedback
PythonStreamlitGemini AI GenAINLPLLMPrompt Engineering
📚

Personal Project

RAG Demo — Retrieval Augmented Generation

Implemented a Retrieval Augmented Generation (RAG) pipeline enhancing LLM capabilities with real-time information retrieval. Instead of relying on pre-trained knowledge alone, the system retrieves and grounds responses in current context.

RAG pipeline · LLM + real-time retrieval
PythonRAGLLM GenAIGeminiGroq Vector DBPrompt Engineering

Open Source

GitHub Repositories

ML_model.ai

AI-powered Streamlit App to train ML models on uploaded data, predict unseen inputs, and generate improvement suggestions using Gemini AI.

Python Public
ipl-win-probability

Ball-by-ball IPL win probability predictor using XGBoost trained on 1169 matches. Full Python + Tableau solution.

Jupyter Notebook Public
saas-churn-analytics

End-to-end SaaS churn analytics project: Python data generation, MySQL storage, advanced SQL KPI & cohort analysis.

Jupyter Notebook Public
defect_analyzer_ai

Streamlit web app for building defect analysis using Gemini's multimodal vision model for safety monitoring.

Python Public
resume_analyzer_ai

AI resume analyzer that scores your CV against a job description and gives actionable feedback using Gemini AI.

Python Public
ragdemo.ai

Retrieval Augmented Generation (RAG) demo — combines LLM text generation with real-time document retrieval.

Python Public

Let's Talk

Get In Touch

🚀

Open to Opportunities

I'm actively looking for full-time roles in Data Analytics and Data Science. If you have an exciting role or a project to collaborate on, let's connect!

Available for hire
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