You will get Python-based data analysis processing & Visualization for machine learning
Project details
Hello, I am a Machine Learning Engineer with 2 years of experience in the field of data. I am specialized in Data Gathering, Data Preprocessing, Data Visualisation, Data Analysis, Feature Engineering, Machine Learning, and Deep Learning Algorithms.
My Services:
Data Gathering/Import: CSV, excel, xls, etc
Data Cleaning/Preprocessing: Dealing with missing data, Data Imputation, Label Encoding, Handling Categorical Data, Feature Engineering, and many more
Data Analysis Pandas, Numpy
Data Visualization: Python (matplotlib, seaborn, Plotly), Power BI, Tableau, Excel, SPSS
Regression and classification problems
Machine Learning with python: Linear Regression, Logistic Regression, K-nearest neighbor (KNN), Decision Tree, Random Forest, Support Vector Machine, K-Means Clustering, Apriori, FP Growth, Association rule mining, and many more
Deep learning: Convolutional Neural Network, Long Short Memory(LSTM), Recurrent neural network(RNN), Transfer learning( RESNET,INCEPTION-V3,ALEXNET,VGG16,19 etc)
Frameworks Jupyter notebook, Google Colab
NOTE
The price of the project can be varied according to the complexity. It would be highly appreciable to contact me before placing an order directly.
My Services:
Data Gathering/Import: CSV, excel, xls, etc
Data Cleaning/Preprocessing: Dealing with missing data, Data Imputation, Label Encoding, Handling Categorical Data, Feature Engineering, and many more
Data Analysis Pandas, Numpy
Data Visualization: Python (matplotlib, seaborn, Plotly), Power BI, Tableau, Excel, SPSS
Regression and classification problems
Machine Learning with python: Linear Regression, Logistic Regression, K-nearest neighbor (KNN), Decision Tree, Random Forest, Support Vector Machine, K-Means Clustering, Apriori, FP Growth, Association rule mining, and many more
Deep learning: Convolutional Neural Network, Long Short Memory(LSTM), Recurrent neural network(RNN), Transfer learning( RESNET,INCEPTION-V3,ALEXNET,VGG16,19 etc)
Frameworks Jupyter notebook, Google Colab
NOTE
The price of the project can be varied according to the complexity. It would be highly appreciable to contact me before placing an order directly.
What's included
| Service Tiers |
Starter
$7.50
|
Standard
$10
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 1 | 4 | Unlimited |
Number of Model Variations | 0 | ||
Model Validation/Testing | - | - | |
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code |
3 reviews
(3)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
TS
Trader S.
Jul 31, 2025
Python Code Adjustment for AI-Generated Script
AA
Asim A.
Feb 1, 2023
Python developer needed
DA
Drew A.
Jan 24, 2023
Take a short Data Science challenge (Python + Pandas)
Mudit helped us by completing and reviewing a new data science challenge we created that requires knowledge of python and pandas. Mudit successfully completed the code and gave us well-thought-out feedback on the assessment!
About Mudit
Python | Machine Learning | Deep Learning | Data Analysis | Django
Udaipur, India - 6:49 am local time
Hello! I'm a Machine Learning Engineer and currently a Consultant at McKinsey & Company, bringing a strong mix of technical depth and business-focused problem solving.
With 2+ years of hands-on experience in data science, I specialize in:
Data Collection & Cleaning
Exploratory Data Analysis
Building ML/DL Models
Automating Workflows
Communicating insights with powerful dashboards
I’ve worked on a range of projects — from predicting stock movements using NLP to building mental health classifiers with BERT, and creating full-stack web apps in Django. My consulting experience adds an edge: I don’t just build models, I solve business problems.
🧠 Core Technical Skills
Languages & Tools: Python (Pandas, Numpy, Scikit-Learn, TensorFlow, Keras), SQL, R, Excel
ML/DL: Random Forest, XGBoost, Logistic Regression, BERT, LSTM, RNN
Big Data: PySpark
Visualization: Power BI, Tableau, Matplotlib, Seaborn
Frameworks: Django (Web Apps & APIs), HTML/CSS/JS for frontends
Other: SPSS, Macros, Automation, Excel Dashboards
📌 Sample Projects
Built a BERT-based model to classify Reddit and Twitter posts for mental health indicators
Developed an NLP pipeline to analyze stock news and predict price movement
Created full-stack data management & ecommerce web apps using Django
Designed interactive dashboards in Power BI/Tableau for business users
🤝 Why Work With Me?
Strong communication and commitment
Business-aware problem solving
Clean, efficient, and scalable code
Post-delivery support
Reliable and deadline-oriented
Steps for completing your project
After purchasing the project, send requirements so Mudit can start the project.
Delivery time starts when Mudit receives requirements from you.
Mudit works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection
Data collection from the client
Data Analysis
After data collection, data analysis and wrangling and visualization