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Nagalakshmi N

KARE ’26 | Data & AI Enthusiast | NLP • Deep Learning • Python • SQL | Data visualization | IBM National Hackathon WINNER 🥇| Seeking Data Analyst / ML Roles

Greater Madurai Area

< 1 year of work experience

Elevate Labs
May 20252 mosJun 2025

Madurai, Tamil Nadu, India

Developed interactive dashboards in Power BI and Tableau to visualize customer behavior, sales trends, and LTV segmentation, enabling data-driven decision-making. Built a machine learning model (XGBoost) to predict Customer Lifetime Value (LTV) with 93% accuracy, reducing marketing costs by 20% through targeted campaigns. Engineered RFM (Recency, Frequency, Monetary) features and performed data preprocessing using Python (Pandas, scikit-learn).Tools: Python, Power BI, Tableau, SQL, Machine Learning (XGBoost). PowerBI/Tableau.
VIRTUAL TECH SERVICES
Jun 20242 mosJul 2024

Chennai, Tamil Nadu, India

Key Takeaways: 🔹 Developed and deployed dynamic web applications under mentorship 🔹 Gained practical exposure to front-end and/or back-end technologies (HTML/CSS, JavaScript, React, Node.js, etc.) 🔹 Collaborated with teams to solve problems and meet project deadlines 🔹 Learned the importance of clean code, user-centric design, and agile methodologies

Nagalakshmi’s AI Stack

hugging face
hugging face
langchain
langchain
ollama
ollama
openai
openai

Education

kalasalingam University

B-Tech CSE Data science

kalasalingam University

TVS matriculation higher Secondary School

TVS matriculation higher Secondary School

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Nagalakshmi N on Tal

Headline

KARE ’26 | Data & AI Enthusiast | NLP • Deep Learning • Python • SQL | Data visualization | IBM National Hackathon WINNER 🥇| Seeking Data Analyst / ML Roles

Location

Greater Madurai Area

AI stack

hugging face

langchain

ollama

openai

Work experience

Intern at Elevate Labs, May 2025 - Jun 2025 · 2 mos, Madurai, Tamil Nadu, India, Developed interactive dashboards in Power BI and Tableau to visualize customer behavior, sales trends, and LTV segmentation, enabling data-driven decision-making. Built a machine learning model (XGBoost) to predict Customer Lifetime Value (LTV) with 93% accuracy, reducing marketing costs by 20% through targeted campaigns. Engineered RFM (Recency, Frequency, Monetary) features and performed data preprocessing using Python (Pandas, scikit-learn).Tools: Python, Power BI, Tableau, SQL, Machine Learning (XGBoost). PowerBI/Tableau.

Web Developer at VIRTUAL TECH SERVICES, Jun 2024 - Jul 2024 · 2 mos, Chennai, Tamil Nadu, India, Key Takeaways: 🔹 Developed and deployed dynamic web applications under mentorship 🔹 Gained practical exposure to front-end and/or back-end technologies (HTML/CSS, JavaScript, React, Node.js, etc.) 🔹 Collaborated with teams to solve problems and meet project deadlines 🔹 Learned the importance of clean code, user-centric design, and agile methodologies

Education

B-Tech CSE Data science, kalasalingam University

TVS matriculation higher Secondary School

Nagalakshmi N - Intern in Greater Madurai Area | Tal