You will get Expert Data Scientist | Food Calorie Prediction & Data Analysis
Project details
I will use Python for coding and also use libraries such as Numpy pandas for cleaning the data and then I will train my machine for the given data that creates accurate results and then it will create the result for that I not train this.
Machine Learning Tools
ChatGPT, Google Data Studio, Google Sheets, Microsoft Excel, Microsoft Power BI, NumPy, Open Neural Network Exchange, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQLWhat's included
| Service Tiers |
Starter
$250
|
Standard
$600
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 2 days | 8 days | 10 days |
Number of Revisions | 1 | 1 | 1 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 2 | 4 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | - |
Data Source Connectivity | |||
Source Code |
About Tahira
Data Scientist | Machine Learning Expert | Data Analysis Specialist
Lahore, Pakistan - 1:47 am local time
Hello! I’m a passionate and results-driven Data Scientist with 2 years of experience in leveraging data science and data engineering techniques to deliver actionable insights that drive business decisions. My expertise spans across data analysis, machine learning, predictive modeling, and data preprocessing.
I’m committed to providing tailored solutions that address real-world problems by utilizing my technical knowledge and passion for data.
🔧 What I Offer:
🧠 Predictive Modeling
I specialize in building robust predictive models using:
Classification (binary, multi-label, multi-class)
Regression (linear, Bayesian, boosted trees)
Time Series Forecasting
With advanced techniques in predictive analytics, ensemble learning (bagging, boosting, voting), and detailed trend analysis, I ensure accurate and reliable predictions to enhance decision-making. My focus is on delivering solutions that not only predict outcomes but provide clear guidance on future strategies.
🛠️ Data Wrangling & Cleaning
Cleaning and preparing data for analysis is critical to a project's success. I’m proficient in:
Data Ingestion: Collecting and organizing structured and unstructured data from various sources.
Data Transformation & Enrichment: Ensuring the data is accurate and clean for analysis by performing feature engineering and resolving any inconsistencies.
Data Harmonization: Consolidating data from different sources for easy analysis, providing seamless and integrated datasets.
🤖 Advanced Machine Learning
I develop and deploy machine learning models to solve real-world challenges. My process includes:
Building models using TensorFlow, Keras, and PyTorch.
Fine-tuning algorithms for high-performance outcomes.
Working with models for classification, regression, and clustering, improving accuracy and efficiency with every iteration.
My approach ensures that models are tailored to your business needs, producing actionable results that drive smart decisions.
📊 Data Analysis & Visualization
Turning raw data into meaningful insights is my specialty. Using tools like:
Matplotlib, Power BI, and Tableau, I create visually engaging reports and dashboards.
Descriptive analytics helps identify key business metrics through KPIs and performance reports.
Exploratory Data Analysis (EDA) uncovers hidden trends and patterns in data, giving you clear insights into how to move forward.
🌟 Recent Project Highlight: Food Calories Predictor 🌟
In a recent project, I developed a Food Calories Predictor that estimates the calorie content of various foods using machine learning. The project involved:
Collecting data from diverse sources and preprocessing it for model training.
Applying feature engineering to improve model accuracy.
Building and fine-tuning models using advanced algorithms.
Evaluating and validating the final model to ensure it delivers reliable results.
This project demonstrates my expertise in predictive modeling and data preprocessing, showcasing my ability to tackle complex real-world problems.
💻 Technical Skills:
Programming Languages:
Python 🐍
Data Science Tools & Technologies:
SQL, TensorFlow, scikit-learn, Pandas, NumPy, Matplotlib, Tableau 📊
Statistical Methods:
Regression, Classification, Clustering, Time Series Analysis 📈
DevOps Tools:
GitHub, Jenkins, Docker, Kubernetes, Terraform 🔧
🔑 Why Choose Me:
🎯 Client-Focused Approach
Your business goals are my priority. I take the time to understand your objectives and tailor solutions that directly align with your needs, ensuring maximum impact.
🔍 Detail-Oriented Work
I am committed to providing high-quality results with a keen eye for detail. Every step of the project, from data cleaning to model development, is handled with precision.
📞 Proactive Communication
Collaboration is key! I believe in maintaining open lines of communication throughout the project. Regular updates and feedback loops ensure we’re always on the same page.
🚀 Ready to Transform Your Data into Insights?
Whether you need data analysis, predictive models, or business intelligence solutions, I’m here to help you make data-driven decisions. Let's connect and explore how my expertise can drive success for your project!
Looking forward to collaborating! 🙌
Steps for completing your project
After purchasing the project, send requirements so Tahira can start the project.
Delivery time starts when Tahira receives requirements from you.
Tahira works on your project following the steps below.
Revisions may occur after the delivery date.
Model train
Firstly I will clean the data (EDA) using some libraries such as pandas and numpy and then vi visualize the data as the graph of the data is right then we train our machine for the given data using different machine algorithms.