Rissi Kumar Prabhakaran
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Hello I'm Rissi Kumar Prabhakaran I am a Data Scientist!!

About Me
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So who am I?

Well, I am an enthusiastic graduate student in data science with a strong desire to extract meaningful insights from raw data for making important decisions. I am excited about the opportunity to use my skills in data analysis, machine learning, and statistical modeling to tackle complex problems and provide creative, data-driven solutions. Working in fast-paced, ever-changing settings is a perfect fit for my collaborative spirit and problem-solving abilities. My genuine desire to make a difference drives me to use data to improve process efficiency, guide strategy, and bring about meaningful social change.

Take a look at some of my work!

Professional Experience

Pantech E-Learning

AI Engineer Intern

Jun 2022 - Nov 2022 · Chennai, India

RoBERTa HuggingFace PyTorch MySQL Python ONNX Runtime FastAPI XGBoost LightGBM scikit-learn SHAP Optuna Power BI Docker

Vlog Innovations

AI Engineer Intern

Jan 2023 - Jun 2023 · Chennai, India

FAISS Sentence Transformers Python Pandas NumPy GPT-3.5 DistilBERT MLflow scikit-learn Matplotlib W&B

Kashmir World Foundation

BioAcoustics AI Intern

May 2025 - Aug 2025 · Great Falls, VA

BirdNET YamNET Python Spectrogram Analysis Audio Processing

Kashmir World Foundation

AI Data Engineer

Aug 2025 - Present · Great Falls, VA

Agno Framework DroneKit MAVLink ArduPilot SITL OpenRouter API RAG Vector DB LLM Agents

Achievements

Academic & Professional Highlights

IEEE Research Paper - Smart Fields

Published a research paper titled "Smart Fields: Enhancing Agriculture with AI". It explores how integrating deep learning models with IoT devices can optimize irrigation, pest control, and crop monitoring.

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Innoventzz

Overall coordinator for Innoventzz 2022 and 2024 - large-scale AI symposiums with over 3000 participants, managing multi-track technical and non-technical events with a 30-member core team.

Enactus

Served as Marketing Associate at ENACTUS, contributing to the award-winning IKEBANA initiative aimed at innovative social solutions.

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Lema Labs

Completed a 13-week hands-on course on ML (SVM, Random Forest, NLP, Neural Networks) with strong focus on EDA and performance optimization.

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Skills

Languages

Python R SQL C C++ JavaScript HTML CSS Bash MATLAB Scala Julia PySpark Java

ML/DL & NLP

TensorFlow PyTorch Keras scikit-learn XGBoost LightGBM Hugging Face Transformers LLMs BERT GPT RAG OpenCV NLTK SpaCy

Agentic AI

GPT-4 Claude Gemini Fine-tuning Prompt Engineering Multi-Agent Systems LangChain LlamaIndex Agno AI RAG Systems Context Engineering

Data Science & Statistics

Pandas NumPy SciPy Matplotlib Seaborn A/B Testing Hypothesis Testing Time Series Analysis Feature Engineering KPI Development Regression Predictive Modeling Cohort Analysis Funnel Analysis

MLOps & Big Data

Docker Kubernetes MLflow Apache Spark Apache Kafka Hadoop PySpark Databricks Apache Airflow Prefect dbt HDFS Hive CI/CD

Cloud & Databases

AWS GCP Azure PostgreSQL MySQL MongoDB Snowflake Redshift BigQuery Redis Pinecone ChromaDB FAISS

BI & Visualization

Power BI Tableau Excel Looker Google Analytics Plotly Dash

Data Modeling & APIs

Star Schema Snowflake Schema Dimensional Modeling Data Normalization RESTful APIs GraphQL Flask FastAPI Microservices

Get in Touch

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