I’m Pushti Maheshwari, a Machine Learning & Data Science expert with a passion for turning raw data into meaningful insights. With expertise in Python, Data Analytics, TensorFlow, OpenCV, and Data Visualization, I develop AI-driven solutions, predictive models, and deep learning applications tailored to business needs. 🔹 What I Offer: ✅ Data Cleaning & Preprocessing – Structuring raw data for maximum accuracy. ✅ Machine Learning Models – Building AI-powered predictive solutions. ✅ Data Visualization – Creating insightful dashboards with Matplotlib & Seaborn. ✅ Exploratory Data Analysis (EDA) – Identifying trends and key insights. Beyond my technical expertise, I’m a national level public speaker (2022) and recognized as Top 5 Speakers all over India. Also, a Certified Soft Skills Trainer, having conducted 50+ training sessions for 1000+ individuals on leadership, communication, and personal development. Let’s collaborate and build data-driven solutions that make an impact! 🚀…

Pushti

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I’m Pushti Maheshwari, a Machine Learning & Data Science expert with a passion for turning raw data into meaningful insights. With expertise in Python, Data Analytics, TensorFlow, OpenCV, and Data Visualization, I develop AI-driven solutions, predictive models, and deep learning applications tailored to business needs. 🔹 What I Offer: ✅ Data Cleaning & Preprocessing – Structuring raw data for maximum accuracy. ✅ Machine Learning Models – Building AI-powered predictive solutions. ✅ Data Visualization – Creating insightful dashboards with Matplotlib & Seaborn. ✅ Exploratory Data Analysis (EDA) – Identifying trends and key insights. Beyond my technical expertise, I’m a national level public speaker (2022) and recognized as Top 5 Speakers all over India. Also, a Certified Soft Skills Trainer, having conducted 50+ training sessions for 1000+ individuals on leadership, communication, and personal development. Let’s collaborate and build data-driven solutions that make an impact! 🚀…

Available to hire

I’m Pushti Maheshwari, a Machine Learning & Data Science expert with a passion for turning raw data into meaningful insights. With expertise in Python, Data Analytics, TensorFlow, OpenCV, and Data Visualization, I develop AI-driven solutions, predictive models, and deep learning applications tailored to business needs.

🔹 What I Offer:
✅ Data Cleaning & Preprocessing – Structuring raw data for maximum accuracy.
✅ Machine Learning Models – Building AI-powered predictive solutions.
✅ Data Visualization – Creating insightful dashboards with Matplotlib & Seaborn.
✅ Exploratory Data Analysis (EDA) – Identifying trends and key insights.

Beyond my technical expertise, I’m a national level public speaker (2022) and recognized as Top 5 Speakers all over India. Also, a Certified Soft Skills Trainer, having conducted 50+ training sessions for 1000+ individuals on leadership, communication, and personal development.

Let’s collaborate and build data-driven solutions that make an impact! 🚀

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Language

English
Fluent
Hindi
Fluent

Work Experience

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Education

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Qualifications

Junior Chamber International Certified Trainer
June 20, 2023 - April 1, 2024

Industry Experience

Other, Education
    paper Capital Asset Pricing Model Web Application

    This repository contains a Streamlit web application that allows users to calculate and analyze the Capital Asset Pricing Model (CAPM) for selected stocks. The app provides insights into stock returns, beta values, and normalized stock prices by pulling stock data directly from Yahoo Finance.

    paper Lip Reading AI

    This project implements a deep learning-based lip-reading AI system using TensorFlow. The goal of this system is to predict speech (text) based on video sequences of lip movements. The model is trained using 3D Convolutional Neural Networks (Conv3D) and Bidirectional LSTMs to capture both spatial and temporal information from video frames.

    paper My own Neural Network

    This project is an educational implementation of a neural network, designed to understand the fundamental concepts of neural networks, including forward and backward propagation, activation functions, loss functions, and optimization techniques. The implementation is done using Python and NumPy, with no reliance on high-level machine learning libraries like TensorFlow or PyTorch.

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