Skills

My Skills

Where creativity meets technology.

Languages

Python

C/C++

HTML

CSS

Javascript

SQL

Frameworks and Python Packages

NumPy

Pandas

Matplotlib

Seaborn

Plotly

Scikit
Learn

Tensorflow

PyTorch

Keras

Feature
Engine

Category
Encoder

LangChain

Web
Scraping

Streamlit

Flask

ReactJs

NodeJs

expressJs

Tools

Git/Github

MySQL

MongoDB

Tableau

Canva

Adobe
Photoshop

Power BI

MS-Excel

Grafana

Data Science

Machine
Learning

Deep
Learning

Computer
Vision

NLP

Generative AI

Hugging Face

Professional Certificates

My Professional Certificates

Demonstrate expertise and proficiency in a particular field..

SERVICES

What we Offer

We do awesome services for our clients.

Generative AI

We specialize in developing end-to-end Generative AI apps using models like OpenAI and Hugging Face (including RAG and Chainlit). Our expertise includes building robust chatbots with CI/CD pipelines and automating tasks typically handled by other domain experts using Generative AI.

Machine Learning

We handle the entire machine learning model implementation process, from research to deployment and maintenance across all necessary environments. With a focus on research, development, staging, and production, we ensure seamless integration, all while streamlining the process with CI/CD pipelines.

Deep Learning

We specialize in collecting, processing, and cleaning data to create top-notch training datasets that can be used to train robust deep learning models. Our focus is on artificial neural networks, including Convolutional Neural Networks, Recurrents, and Bidirectional RNNs.

Computer Vision

We excel in a wide range of computer vision tasks, such as object detection, segmentation, classification, tracking, facial landmark detection, swapping, image restoration, and colorization using caffe models. We also have expertise in facial recognition and OCR on custom datasets, with a deep understanding of both classical and deep learning computer vision.

Data Analysis

We have the ability to manually gather and understand brief information about datasets using various tools, such as numpy, pandas, matplotlib, seaborn, SQL, Tableau, and Grafana. In addition, we are also proficient in using automated EDA libraries like dtale, sweetviz, autoviz, pandas visual analysis, dataprep, and pandas profiling report.

Data Visualization

We possess the skills to transform complex data sets into impactful and meaningful insights through the development of interactive dashboards using Tableau. Our expertise extends to building and monitoring dashboards with Grafana while utilizing a MySQL database, ensuring that you have real-time visibility into your data.

NLP

We're experts in developing end-to-end NLP models that prioritize text preprocessing techniques like tokenization, lemmatization, stemming, and stopwords removal to ensure computer understanding. Additionally, we utilize bag-of-words, TF-IDF, Word2Vec, and AvgWord2vec techniques for sentiment analysis.

Full-Stack Development

I'm proficient in HTML5, CSS3, Bootstrap 5, JavaScript ES6, ReactJS, and the MERN stack, including bash, Git, Node.js, NPM, Express.js, EJS, APIs, MySQL, and MongoDB. I seamlessly transform websites into dynamic web apps and manage deployment.

Time Series Analysis

I can perform time series analysis to identify trends, patterns, and anomalies in data. I prioritize comprehensive planning and design before analyzing any time series data to ensure accurate and reliable results. I can also use time series analysis to forecast future values, make predictions, and optimize decision-making.

I know about cloud deployment

Want to see the platforms I can deploy on?

Data Visualizations

My Data Visualizations

Demonstrate expertise and proficiency in BI Tool..

Process Mining Report

Count of purchase order (PO) per activity

Process Mining Report

Insight View for my ML model

Flight 98 dashboard for displaying flight routes

Most Loving Audi cars in India

Top 10 Busiest Airports in the world

US Crime Analysis

Sales in US

Data Science Projects

My Data Science Projects

real-world implementations firsthand. Take a closer look now!

Infrared

"Real world Machine Learning Product innovative solution leveraging Hugging Face's libraries, OpenAI's Language Model (LLM) and unsupervised machine learning techniques "

Interactive Chatbot Interface: InfraBot

I developed InfraBot, an interactive chatbot using models like text-davinci-003 and LLaMa2. InfraBot simplifies complex audit processes, fraud detection, and data analysis, improving user experience and accessibility.

PDF and Excel Data Querying using LLM

Using OpenAI and Hugging Face libraries, I created a PDF and Excel querying system for extracting data from PDFs and spreadsheets. It's enhanced with (google/flant5-xxl) for efficient data analysis, elevating overall processing capabilities.

Video-to-Text Transcription with Whisper

I used OpenAI's Whisper to convert video audio into accurate text transcripts, expanding data for analysis and audits. These transcriptions improved data accuracy, reliability, and informed decision-making.

Anomaly Detection using Unsupervised Machine Learning

I implemented unsupervised machine learning, including Isolation Forest and DBSCAN, for fraud detection in financial data. The system autonomously identifies anomalies and potential fraud, significantly enhancing our fraud detection capabilities.

Deployment and DevOps

I deployed solutions on AWS EC2-ECR instances and established GitHub Actions CI/CD pipelines for efficient code integration, testing, and deployment, ensuring a smooth development lifecycle.

Impact

The solutions I have developed have fundamentally transformed Revoquant AI's capabilities in the realms of audit enhancement, fraud detection, and data analysis. These innovations have not only augmented the precision and efficiency of our audit processes but have also equipped our organization with powerful tools to combat fraudulent activities. The integration of advanced language models and machine learning techniques has solidified Revoquant AI's position at the forefront of technological advancements in the field.

Project Link

TimeAhead

"Real world Business Research Analyst Use Case of Amazon. Implemented End To End Machine Learning Model with Deployment"

I successfully addressed a use case for Amazon Business Research Analyst by accurately predicting order delivery times. Throughout the process, I established three distinct environments: research, development, and production. In the research environment, I collected data from Kaggle and meticulously converted the data from unstructured form into structured form, conducted comprehensive exploratory data analysis to gather some of the information regarding the dataset, implemented advanced feature engineering techniques to deal with all the problems analyzed in EDA like dealing with missing values converting categories into numeric values etc., carefully selected relevant features using lasso technique, and diligently constructed and optimized a predictive model using GridSearchCV. Transitioning into the development environment, I transformed the code into a modular structure and expertly developed a web application using Flask and my web development expertise, In such a way whenever user will click on the sumbit button then in the backend data will interact with pickles files that we have created and predictions will take place. Finally, In the production environment, I seamlessly deployed the model using Amazon Elastic Beanstalk and skillfully integrated it with a code pipeline on GitHub to ensure continuous delivery.

Project Link

FashionFinderMyntra

"I designed and implemented an advanced Content based recommendation system using machine learning for Myntra's women's fashion products. The system not only provides personalized recommendations but also offers an interactive user interface for a seamless browsing experience."

In the Research environment, I gathered a Kaggle dataset and performed essential data preprocessing tasks, including handling missing values, removing duplicates, and eliminating unnecessary HTML elements using regular expressions and Python. I created a streamlined dataframe containing relevant features for my recommendation system. To enhance text analysis, I utilized the NLTK library for stemming and the CountVectorizer from scikit-learn to determine word frequencies. Using cosine similarity, I measured document similarity, a crucial aspect of our recommendation system. The recommendation function was implemented, and pickle files were saved for future use in the web application. Moving to the Development environment, I designed a visually appealing and user-friendly web application using Flask as the backend framework. Employing HTML, CSS, Bootstrap, and JavaScript, I created an interactive UI inspired by Myntra's official website. GitHub was utilized for collaboration, with best practices followed for repository setup. A clean and isolated development environment was established using Anaconda, ensuring efficiency. Various files such as setup.py, requirements.txt, and directories like templates and static were created to construct a dynamic interface. Proper version control was ensured by utilizing .gitignore to exclude unnecessary files. Overall, my work resulted in an immersive web application with an interactive UI resembling Myntra's website. The project's well-organized structure, collaborative repository, and efficient development process utilizing a virtual environment contribute to its success.

Project Link

Web Development and Designing Projects

Passionate Data Scientist from New Delhi

Hi, I am Manmeet Singh Working with Data really Excites me.

More About Me

My Skills

Languages

Python

C/C++

HTML

CSS

Javascript

SQL

Frameworks and Python Packages

NumPy

Pandas

Matplotlib

Seaborn

Plotly

Scikit Learn

Tensorflow

PyTorch

Keras

Feature Engine

Category Encoder

LangChain

Web Scraping

Streamlit

Flask

ReactJs

NodeJs

expressJs

Tools

Git/Github

MySQL

MongoDB

Tableau

Canva

Adobe Photoshop

Power BI

MS-Excel

Grafana

Data Science

Machine Learning

Deep Learning

Computer Vision

NLP

Generative AI

Hugging Face

My Professional Certificates

SERVICES

What we Offer

We do awesome services for our clients.

Generative AI

Machine Learning

Deep Learning

Computer Vision

Data Analysis

Data Visualization

NLP

Full-Stack Development

Time Series Analysis

Contact Me

Contact Info

I know about cloud deployment

Want to see the platforms I can deploy on?

My Data Visualizations

My Data Science Projects

real-world implementations firsthand. Take a closer look now!

Infrared

"Real world Machine Learning Product innovative solution leveraging Hugging Face's libraries, OpenAI's Language Model (LLM) and unsupervised machine learning techniques "

Interactive Chatbot Interface: InfraBot

PDF and Excel Data Querying using LLM

Video-to-Text Transcription with Whisper

Anomaly Detection using Unsupervised Machine Learning

Deployment and DevOps

Impact

TimeAhead

"Real world Business Research Analyst Use Case of Amazon. Implemented End To End Machine Learning Model with Deployment"

FashionFinderMyntra

"I designed and implemented an advanced Content based recommendation system using machine learning for Myntra's women's fashion products. The system not only provides personalized recommendations but also offers an interactive user interface for a seamless browsing experience."

My Web Development and Designing Projects

Scikit
Learn

Feature
Engine

Category
Encoder

Web
Scraping

Adobe
Photoshop

Machine
Learning

Deep
Learning

Computer
Vision