Gen AI & Data Science Engineer (Agentic/GenAI)

RITIK TURKAR

Data Scientist Machine Learning Engineer AI Systems Developer

*************@*****.*** • +91-930**-***** • Hyderabad, Telangana • LinkedIn • GitHub • Portfolio SUMMARY

Data Science fresher with hands-on experience building end-to-end ML pipelines, computer vision systems, and AI-powered applications, currently working as a Data Science Intern. Skilled in Python, Scikit-learn, NLP, and FastAPI with a strong focus on delivering production-ready solutions.

WORK EXPERIENCE

Data Science Intern — The Entrepreneurship Network (TEN) Feb 2026 – Present Hyderabad, Telangana (Remote) Full-time Internship

• Built and deployed end-to-end ML pipelines for churn prediction and demand forecasting; performed EDA, feature engineering, and statistical analysis to extract insights and improve model performance.

• Collaborated in an agile team to deliver data-driven solutions with clear visualizations for business stakeholders. PROJECTS

J.A.R.V.I.S – Personal AI Assistant GitHub

Python · faster-whisper · MediaPipe · OpenCV · LLaMA 3 (Ollama) · pyttsx3 · PyAutoGUI · PyQt5

• Engineered a fully offline, real-time voice assistant using faster-whisper (STT) + pyttsx3 (TTS) with wake-word detection — sub-1s hands-free activation with zero cloud dependency.

• Deployed LLaMA 3 locally via Ollama for Q&A, live code generation & debugging; built a computer vision layer with MediaPipe (hand-landmark) + OpenCV face-recognition authentication.

• Architected a concurrent multi-module system (asyncio + threading) running voice, gesture, face-auth

& social media listeners with a PyQt5 dark HUD overlay. AI Resume Analyzer — GenAI-powered ATS Evaluation System - Live Demo - Python · FastAPI · Ollama (LLaMA3) · HTML/CSS/JS · REST APIs

• Developed a full-stack GenAI application that analyzes resumes with ATS-style feedback using a locally hosted LLM — eliminating reliance on paid APIs.

• Built a scalable FastAPI backend with prompt engineering and on-device LLM inference (Ollama/LLaMA3) ensuring data privacy; optimized for CPU-based environments with lightweight models. Movie Recommendation Engine — End-to-End ML Pipeline - Live Demo - Python · NLP · Pandas · NumPy · Scikit-learn · FastAPI · Cosine Similarity · Pickle

• Architected a content-based recommendation engine over 5,000+ movies using CountVectorizer

(5K-token vocab) on fused metadata (genre, cast, crew, keywords, overview).

• Computed a pairwise cosine similarity matrix for O(1) top-N retrieval; deployed as a FastAPI REST service with pickle-serialised artefacts simulating a production ML workflow. TECHNICAL SKILLS

Programming & Tools

Python, SQL, HTML, CSS · Git, GitHub, VS Code, Jupyter, Google Colab Data Science & ML

Regression, Classification, Clustering, Feature Engineering, Model Evaluation, Cross- Validation, Hyperparameter Tuning, ML Pipelines

Deep Learning & AI

ANN, CNN, RNN, Transformers, Neural Networks · Generative AI, RAG, Vectore DB NLP & Computer Vision

Text Preprocessing, TF-IDF, Tokenization, Cosine Similarity · OpenCV, MediaPipe, Face

& Gesture Recognition

Frameworks&Deployment

Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, LangChain · FastAPI, Media Pipe, OpenCV, PyautoGUI

EDUCATION

Bachelor of Computer Applications (BCA) — Makhanlal Chaturvedi National University, Bhopal 2022 – 2025

CGPA: 7.5 / 10.0 Coursework: Data Structures, Algorithms, DBMS, Statistics, OOP, Computer Networks Data Science & Analytics with AI — Quality Thought IT Training, Hyderabad–July2025 – Fab 2026 Modules: Python · Machine Learning · Deep Learning (TensorFlow/Keras) · SQL · Power BI · AI Automation CERTIFICATIONS

Data Science (Cisco, 2025) • Python Advanced (Learntube.ai, 2025) • SQL (OneRoadMap, 2025) • AI Au- tomation N8N (CampusX, 2025)

Open to full-time, internship & remote opportunities Portfolio: sites.google.com/view/rithikworks

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