Open to opportunities

Noudu
Lakshmi Mahitha

Data Analyst turning raw data into decisions. I build end-to-end analytics solutions with Python, SQL, Power BI, and Streamlit — from churn models to real-time GenAI dashboards.

5
End-to-end projects
14K+
Records analyzed
4
Live dashboards
5
AI certifications
NLM
Available for hire

Curious analyst.
Builder at heart.

I'm a Computer Science graduate from Malla Reddy University, Hyderabad (B.Tech, 2025) with hands-on experience as a Data Analytics Intern at Unified Mentor Private Limited.

I love finding the story hidden inside messy datasets — whether it's why a bank's German customers churn at twice the rate, or what's causing every single shipping delay for a distributor. I don't just clean data; I build things people can use.

Currently seeking entry-level Data Analyst roles where I can apply my skills and grow alongside a great team.

Python SQL Power BI Streamlit Scikit-learn GenAI / LLaMA Advanced Excel ETL & EDA

Where I've worked

Internship experience with real-world data problems and live dashboards shipped to stakeholders.

Data Analytics Intern
Unified Mentor Private Limited · Hyderabad
Feb 2026 – May 2026
Projects delivered during internship
European Bank — Customer Engagement & Retention Analysis
Analyzed 10,000 customers across 3 countries. Germany churned at 32.4% — nearly double others. Customers with 3–4 products churned at 83–100%, revealing product over-bundling risk. Built 4-page Streamlit dashboard with RSI and detected 1,247 at-risk premium customers.
Nassau Candy Distributor — Shipping Route Efficiency Analysis
Analyzed 10,194 orders across 5 factories & 59 US states. Found 100% of delays caused exclusively by Standard Class shipping (17% delay rate) while all other modes had 0% delays. Built 4-page dashboard with route efficiency scoring (0–100) and geographic bottleneck detection.

Work I'm proud of

End-to-end analytics projects — from raw data to deployed dashboards and AI-powered insights.

01 — GenAI + NLP
AirSense — Airline Sentiment & GenAI Insights Dashboard
Analyzed 14,640 Twitter tweets across 6 major US airlines. Integrated Meta LLaMA 3.1 via Groq API for real-time AI executive summaries, airline recommendations, and custom Q&A.
Key Findings

62.69% overall negative sentiment · Customer Service = #1 complaint (31.7% of negatives) · 4-page live Streamlit dashboard deployed to cloud

Python Streamlit LLaMA 3.1 Groq API NLP
02 — People Analytics
HR Analytics — Employee Attrition & Performance Dashboard
End-to-end HR analytics on IBM HR dataset (1,470 employees, 35 features) using SQL, Python, Excel, and Power BI to identify attrition drivers and flag at-risk employees.
Key Findings

Sales attrition 27.3% · Overtime gap: 28.2% vs 19.4% (8.8pp) · New joiners (0–2 yrs) at 24.9% — highest risk cohort

SQL Python Power BI DAX Excel
03 — Customer Analytics
Customer Shopping Behavior Analysis
Analyzed purchase data to uncover buying patterns, preferences, and trends. Built Power BI dashboards for sales performance, customer segmentation, and monthly trend analysis.
Key Deliverables

SQL queries for top products & repeat customers · Discount impact analysis · Interactive Power BI segmentation dashboard

Python SQL Power BI Pandas

My toolkit

Technologies and methods I use to go from raw data to real insight.

Languages
Python (Pandas, Matplotlib, Seaborn)
Scikit-learn (ML models)
SQL (SQLite, queries)
Advanced Excel (openpyxl)
BI & Dashboards
Power BI (DAX, Slicers)
Streamlit (Multi-page apps)
Streamlit Cloud (Deployment)
Excel conditional formatting
AI & APIs
Generative AI & Prompt Engineering
Meta LLaMA 3.1 (Groq API)
REST APIs (requests)
NLP & Sentiment Analysis
Analytics
ETL & Data Cleaning
Exploratory Data Analysis
Feature Engineering
Churn & Attrition Modeling
Tools
Git & GitHub
Jupyter Notebook
VS Code
Google Colab
Education
B.Tech, Computer Science
Malla Reddy University
Hyderabad · 2021–2025
CGPA: 7.5+
🤖
Maximize Productivity with AI Tools
📊
Tata — GenAI Powered Data Analytics Job Simulation
🐍
Data Analysis with Python
💡
Discover the Art of Prompting
🛡️
Use AI Responsibly
Contact

Let's work together

I'm actively looking for entry-level Data Analyst roles. If you're hiring or just want to connect — I'd love to hear from you.