Sharon Merin Sabu

Aspiring Data Scientist | Electronics & Communication Engineer

Kochi, IN.

About

Detail-oriented Electronics and Communication Engineer with hands-on internship experience in data science, adept at leveraging Python, SQL, machine learning, and deep learning for actionable insights. Proven ability to preprocess complex data, apply advanced pattern recognition, and conduct exploratory data analysis to drive informed decision-making. Eager to contribute strong analytical, problem-solving, and communication skills to a dynamic data science team.

Work

Luminar Technolab

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Data Science Intern (Full-time)

Kochi, Kerala, India

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Summary

Contributed to end-to-end data science projects, delivering insights and driving decision-making through effective use of Python, pandas, NumPy, and scikit-learn.

Highlights

Executed over 5 end-to-end data science projects, leveraging Python, pandas, NumPy, and scikit-learn to deliver data-driven insights and inform strategic decision-making.

Optimized data pipelines and cleaning processes using MySQL, significantly improving data quality and enhancing overall model performance.

Developed interactive Power BI dashboards, translating complex data into actionable business insights and enhancing communication across technical and non-technical teams.

Education

St. Joseph's College of Engineering and Technology

Kerala, Kerala, India
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Bachelor of Technology Electronics and Communication Engineering Grade: 7.47 CGPA

Certificates

Machine Learning Pipelines with Azure ML Studio

Data Analytics

Deloitte Australia

Skills

Programming & Data Analysis

Python, MySQL, Pandas, NumPy, Scikit-learn, Data Cleaning, Feature Engineering.

Machine Learning & AI

Regression, Classification, Clustering, Hyperparameter Tuning, Deep Learning (CNN, RNN).

Generative AI & Chatbots

LLMs (OpenAI, Gemini), Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering, Stable Diffusion.

Data Visualization

Power BI, Matplotlib, Seaborn.

Cloud & Tools

AWS (S3, EC2, IAM), Azure Machine Learning, GitHub, Linux, VS Code.

Soft Skills

Analytical Thinking, Problem-Solving, Communication, Time Management, Eagerness to Learn, Client Collaboration.

Projects

Hand Gesture Recognition Using MediaPipe

Summary

Built a real-time computer vision system using MediaPipe and OpenCV to detect and track hand landmarks from live webcam input.

Antenna Fault Detection Using Machine Learning

Summary

Developed a machine learning model to detect and classify faults in antenna systems based on signal performance data.

Sentimental Analysis of Social Media Post Using NLP

Summary

Preprocessed text data via cleaning, tokenization, stopword removal, and lemmatization using NLTK.

C-Bot: Beach Cleaning Robot

Summary

Designed and implemented a beach cleaning robot using ESP32-CAM and a CNN trained on waste datasets.