MEGHA SINGH

Data Scientist
Greater Noida, IN.

About

Highly motivated and results-oriented Data Scientist with hands-on experience in predictive modeling, machine learning, and dashboard development. Adept in Python, SQL, and ML frameworks like TensorFlow and Scikit-learn, with a proven ability to build and deploy innovative AI/ML projects that transform complex data into actionable insights and drive informed decision-making.

Work

H.A.L Avionic Division
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Vocational Intern

Korwa, Amethi, India

Summary

Vocational Intern at H.A.L Avionic Division, contributing to internal digital transformation initiatives through web development and workflow optimization.

Highlights

Designed and developed a user-friendly E-Portal using HTML, CSS, JavaScript, and Bootstrap, streamlining internal form submission processes for improved operational efficiency.

Implemented robust secure login and validation features, significantly improving workflow efficiency for over 50 users and enhancing data security protocols.

Education

Gautam Buddha University, Greater Noida
Greater Noida, Uttar Pradesh, India

Bachelor of Technology

Information Technology

Grade: 8.51/10 CGPA

Languages

Hindi
English

Skills

Programming Languages & Tools

Python, SQL, HTML, CSS, Streamlit, Jupyter Notebook, Git.

Data Science Libraries & Frameworks

Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras.

Machine Learning & Deep Learning Concepts

EDA, Data Cleaning, Feature Engineering, Classification, Regression, Clustering, Machine Learning Pipelines, Bag of Words, Supervised Learning, Unsupervised Learning, Feature Selection, Algorithms, Natural Language Processing (NLP), Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN).

Data Visualization & Business Intelligence

Power BI, Microsoft Excel, SHAP, Time Series Forecasting.

Projects

Movie Recommender System

Summary

Designed and deployed a content-based movie recommendation system with an interactive web interface.

Face Mask Detection

Summary

Developed a deep learning model for real-time face mask detection using computer vision techniques.