anusree_r.py
open to work · fresher
⬇ resume.pdf
python3 — anusree.py

Anusree R

Data Science · Machine Learning · AI Engineering

B.Tech CSE (Hons. Data Science & Data Engineering) graduate building end-to-end ML and GenAI systems — from data pipelines and model development to deployable APIs.

⬇ download resume ✉ email me ↗ github.com/Anusree-R ↗ linkedin.com/in/anusree-r
quick_facts.head()
0roleData Scientist / AI Engineer (fresher)
1educationB.Tech CSE (Hons.), LPU — CGPA 7.17
2internshipTransOrg Analytics, Data Scientist Intern
3focusML · GenAI agents · Data Scientist
4based_inIndia
01

about.md

I'm a results-oriented, aspiring Data Scientist with a B.Tech CSE background (Honours in Data Science and Data Engineering), and hands-on experience building data-driven and AI-based projects — including a Data Scientist internship at TransOrg Analytics.

I'm proficient in Python, SQL, data preprocessing, exploratory data analysis, visualization, feature engineering, and machine learning — skilled at applying analytical and predictive techniques to real-world problems and building end-to-end solutions, from data preparation and model development through evaluation and deployment.

I'm currently focused on leveraging data science, machine learning, and AI engineering skills — especially agentic GenAI systems — to build impactful business and technical solutions.

CONTACT.INFO
email
anusreeraghu21@gmail.com
phone
+91 9074435579
github
github.com/Anusree-R
linkedin
linkedin.com/in/anusree-r
02

skills.json

programming_&_databases
PythonSQL
machine_learning_&_ai
Machine LearningStatisticsFeature Engineering Model EvaluationSupervised Learning Unsupervised LearningAgentic AILangGraph
data_analysis_&_viz
EDAPower BITableauExcel
libraries_&_frameworks
PandasNumPyScikit-learn MatplotlibSeabornStreamlitFastAPI
dev_tools_&_platforms
GitGitHubJupyter Google ColabVS Code
genai_productivity_&_soft_skills
ChatGPTClaudeGitHub Copilot Problem-SolvingCommunication
03

experience.log

Data Scientist Intern — TransOrg Analytics
May 2025 – May 2026
  • Preprocessed and cleaned 7+ datasets with 50k+ records for predictive modeling — removing irrelevant, non-numerical, noisy, and redundant columns, handling inconsistencies, and preparing model-ready datasets for ML tasks.
  • Contributed to predictive modeling workflows through data preparation, feature selection, model development, and evaluation, while building 5+ interactive Power BI and Tableau dashboards to visualize KPIs, trends, and actionable business insights.
  • Designed a 13-node Generative AI agentic pipeline using LangGraph and Gemini for an AI-powered travel itinerary planner, integrating Tavily and 3 external APIs to generate budget-aware recommendations across 5 spending tiers (₹10K–₹5L).
04

projects/

In [1]:
AI Meal Planner & Grocery List Generator
Aug 2026 – Present
LangGraphFastAPIJWT AuthMulti-Agent
Out[1]:
  • Architected a 6-agent LangGraph pipeline (Planning, Recipe, Nutrition, Budget, Grocery, Validation) with an automatic retry loop that re-generates a plan against specific constraint violations — reducing generation latency by parallelizing 7 concurrent LLM calls (one per day) instead of a single sequential 21-recipe call.
  • Built a secure FastAPI backend with JWT authentication (access/refresh token rotation) and object-level authorization, validated by 21 automated tests including a dedicated cross-user data-isolation suite.
  • Implemented a deterministic validation layer that checks every AI-generated meal plan against allergy, dietary, and calorie constraints before it reaches the user — catching constraint violations the LLM itself introduced, rather than trusting model output directly.
In [2]:
Customer Support Ticket Triage & Sentiment Analysis
Jul 2026 – Aug 2026
scikit-learnTF-IDFStreamlitFlask APINLP
Out[2]:
  • Engineered an end-to-end NLP classification pipeline using Python, scikit-learn, TF-IDF (5,000 features, 1–2 grams), and Logistic Regression — achieving 87.52% accuracy and 0.8417 weighted F1-score on 2,964 real-world Twitter customer-support tweets across 5 ticket categories: billing, technical, refund, account, and shipping.
  • Developed a production-ready dual-interface inference system with Streamlit and a Flask REST API (/predict), delivering ticket category, confidence score, and urgency flag with <50ms per-prediction latency; implemented persisted ML artifacts, reproducible preprocessing, and fallback error handling.
  • Created a modular ML architecture separating preprocessing, training, and inference components, and documented model evaluation, per-category performance, and deployment workflows in a comprehensive technical report.
In [3]:
Spotify Genre Predictor
Jul 2025 – Nov 2025
Random ForestSMOTEMLOpsFeature Engineering
Out[3]:
  • Constructed an end-to-end ML genre classification pipeline using Python, scikit-learn, and Random Forest — processing 114,000 Spotify tracks and consolidating 114 sub-genres into 13 parent genres using 12 audio features such as energy, danceability, acousticness, and tempo.
  • Performed EDA and feature engineering, addressing class imbalance with SMOTE and class_weight='balanced'; identified key predictors including instrumentalness, acousticness, and speechiness, with an energy–loudness correlation of 0.76.
  • Refactored the model into a modular MLOps pipeline with separate ingestion, transformation, training, prediction, logging, and exception-handling components; reduced the model from 909MB to 93MB by sampling 20,000 tracks to fit GitHub's 100MB limit, achieving 75% accuracy across 13 genres.
05

achievements.md

₹
Secured seed funding
Secured ₹1,00,000 in seed funding for early-stage startup development, demonstrating product vision to investors.
May 2024
◎
NGO volunteer — anti-drug awareness campaign
Worked with an NGO, participating in an anti-drug awareness campaign as part of community outreach efforts.
Extracurricular
06

training.log

Programming using C++ — Cipher Schools
Jun 2024 – Jul 2024
  • Gained proficiency in OOP, memory management, and DSA in C++; built a Binary Search Tree implementing insertion, deletion, search, and traversal operations.
07

education.md

B.Tech CSE (Hons.) Data Science and Data Engineering
Lovely Professional University, Phagwara, Punjab
Aug 2022 – May 2026 CGPA: 7.17
SQL (Advanced)
HackerRank
Jul 2026
Oracle Certified Foundations Associate — Agentic AI
Oracle
Aug 2026
08

resume.pdf

Anusree R · Data Scientist / AI Engineer

View or download my latest resume, including my Data Scientist internship, machine learning and Generative AI projects, technical skills, certifications, and education.

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PDF
Anusree_R_CV_DataScientist.pdf Latest resume · downloadable