Machine Learning Data Scientist

JANAKI RAMAN R

Entry-Level Data Scientist

******************@*****.*** 787******* Chennai, India github.com/Janakiramanjohn1330 linkedin.com/in/janakiraman-r-8b2404371

PROFILE

•Entry-Level Data Scientist skilled in Python, SQL, Machine Learning, and Data Visualization, with hands-on experience in EDA, predictive modeling, and model deployment.

•Delivered end-to-end data science projects including image captioning (CNN–RNN), crop yield prediction, and tourism analytics, applying scikit-learn, TensorFlow, Pandas, NumPy, Power BI, and Streamlit.

•Passionate about leveraging data-driven insights to solve real-world problems and support strategic decision-making. SKILLS

Programming — Python, SQL Machine Learning — Regression, Classification Deep Learning — CNN, RNN, LSTM Data Handling — Data Cleaning, Preprocessing, EDA Visualization & Tools — Power BI, Matplotlib, Seaborn, Streamlit Platforms — Google Colab, VS Code PROJECTS

Image Caption Generator using CNN + RNN

•Developed an end-to-end deep learning pipeline integrating EfficientNet (CNN) for visual feature extraction and LSTM

(RNN) for natural language generation, achieving a BLEU score of 0.65.

•Preprocessed and engineered a dataset of 5,000+ image–caption pairs using tokenization, vocabulary creation, and sequence padding, ensuring high-quality input for model training with TensorFlow/Keras.

•Deployed the solution on Streamlit for real-time inference and interactive user experience, demonstrating practical application of computer vision, NLP, and model deployment. Crop Yield Prediction using Machine Learning Algorithms

•Developed supervised machine learning models (Linear Regression, Random Forest) on historical agricultural datasets with features like crop type, area, and season, achieving an R score of 0.82.

•Performed data preprocessing, feature engineering, and exploratory data analysis (EDA) using Pandas, NumPy, and scikit-learn, ensuring high-quality model inputs..

•Built EDA dashboards to visualize seasonal trends.Built interactive data visualization dashboards (Matplotlib, Seaborn) to uncover seasonal trends, enabling data-driven farm planning and resource allocation. Tourism Analytics using Machine Learning: Classification & Prediction

•Cleaned and processed large-scale travel datasets to uncover tourist behavior trends and destination preferences, applying EDA techniques with Pandas, Matplotlib, and Seaborn.

•Built and optimized classification models to predict transportation modes and regression models to estimate attraction ratings, improving prediction accuracy and decision support.

•Deployed an interactive Streamlit web application for real-time predictions and exploratory data analysis, enabling end users to visualize trends and gain actionable insights. EDUCATION

Bachelor of Commerce (B.Com)

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Aug 2022 – Jun 2025

Chennai, India

IIT-M Advanced Programming professional & Master Data Science IIT-M GUVI

Nov 2024 – May 2025

Chennai, India

CERTIFICATES

POWER BI - GUVI

(June 2025)

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