Portfolio
Github Profile
Hi, I am
Manoj Patil M
I am a
Data Sceintist|
I am a motivated and versatile individual, always eager to take on new challenges. With a passion for learning I am dedicated to delivering high-quality results. With a positive attitude and a growth mindset, I am ready to make a meaningful contribution and achieve great things.
Check Resume
Skills
Here are some of my skills on which I have been working on for the past 2 years.

Frontend

HTML
CSS
JavaScript
Gradio
Dash
Streamlit

Backend

Python
PySpark
Flask
MySQL
Postgresql
VectorDB

Data science

Machine learning
CNN
RNN
Sk learn
Tensorflow
Pytorch
NLP
Statistics
Analytics
Forecasting

Genarative AI

Large language models
LLAMA
RAG & Agentic RAG
Prompt engineering
Gemini
Ollama
LLAMA CPP
Langchain
Huggingface
Transaformers
Vector Embeddings

Others

Git
GitHub
Docker
Selenium
Netlify
VS Code
Postman
kubernetes
MLFLOW
AirFlow
Vertex AI
AZURE
Experience
My work experience as a Data Scientist / AI ML Engineer, and working on different companies and projects.
  • Data Scientist / AI ML Engineer
    Tesco Benagaluru.
    Jan 2024 - current
    At Tesco, currently working on multiple projects such as AI for Quality, AI for Marketplace, and Finding opportunity in the business by optimizing KPIs.Working extensively on developing Gen AI solution, prompt engineering and its core principles to generate useful insights for different use cases of Tesco.Finding opportunities by analyzing current performance of Tesco stores across Europe and providing insightful points for improving KPIs.Executed automation tasks such as ETL operations, Periodic refresh of dashboards, and report generation, saving 4 days per month.Proficient in MLOps, large language models, prompt engineering, deep learning, classification, forecasting, and Analytics.Strong in data analytics, feature engineering, data visualization, statistical modeling, and time series analysis and expertise in modeling, forecasting and llm model and optimization. Skilled in automation and BI tools.Developed a robust process pipeline for product new feature building, feature testing, technical improvements tracking, coding guidelines for performance and security, new ideas tracking, and bugs and issues tracking.Collaborated with cross-functional teams to design and implement data-driven solutions that improve business processes and customer experience.Collaborated with other departments, including marketing, finance, property, and customer support, to ensure that technology solutions were aligned with business goals.
    Skills:
    • Data science
    • Gen AI
    • Machine learning
    • Forecasting
    • NLP
    • LLM
    • Docker
    • Data Analytics
    • Python
    • SQL
    • statistics
    • Azure
  • Data Scientist / AI ML Engineer
    Waycool food and products pvt ltd, Bengaluru
    Aug 2022 - Jan 2024
    Developed a multilingual Agri chatbot for the Outgrow Farm Support App, utilizing generative AI and prompt engineering and fine-tuning LLM. Enhanced its knowledge base, integrated web agents, and deployed it on Azure Kubernetes, achieving an 80% accuracy rate.Created a leaf pest and disease classification model with transfer learning techniques using TensorFlow and Keras, achieving 85% recall and precision. Deployed via CI/CD pipeline on Azure Kubernetes using Docker, resulting in a 15% increase in daily requests.Designed an analytics dashboard using BI tools for customized data visualization, saving 15 hours weekly. Collaborated with stakeholders to extract insights from data.Optimized irrigation recommendation and pest/disease prediction algorithms, leading to a 35% increase in farmer subscriptions. Employed advanced concepts in memory management, threading, and generators.Executed automation tasks such as web scraping, ETL operations, API development, Jira integration, email automation, and report generation, saving 8 hours per week.Proficient in MLOps, large language models, prompt engineering, deep learning, classification, forecasting, and NLP.Strong in data analytics, feature engineering, data visualization, statistical modeling, and time series analysis and expertise in model deployment of deep learning and LLM model optimization. Skilled in automation, IoT data analysis, and BI tools.Developed a robust process pipeline for product new feature building, feature testing, technical improvements tracking, coding guidelines for performance and security, new ideas tracking, and bugs and issues tracking.Collaborated with cross-functional teams to design and implement data-driven solutions that improve business processes and customer experience.Collaborated with other departments, including marketing, sales, and customer support, to ensure that technology solutions were aligned with business goals and customer needs.
    Skills:
    • Data science
    • Gen AI
    • Machine learning
    • NLP
    • LLM
    • Docker
    • Data Analytics
    • Python
    • SQL
    • statistics
  • Data Scientist trainee
    AlmaBetter
    March 2022 - July 2022
    Gained an in-depth understanding of technical skills required for data science.Got hands-on experience with tools required for data science and worked on real-world ML projects.Improved my storytelling skills by delivering presentations of projects.Worked as a Subject Matter Expert and answered inquiries and questions about data science on the Doubt Resolution forum.Worked on real-world problems, developed successful solutions, and received a Full Stack Data Science course certificate.
    Skills:
    • Python
    • SQL
    • statistics
    • Machine learning
    • Data Analytics
  • Post-graduate intern (PGT)
    CAD MAcRO Design & Solutions Pvt Ltd. Chennai
    June 2021 - May 2022
    Selecting features, building and optimizing classifiers using machine learning techniques.Hands-on experience in Machine Learning algorithms like Linear Regression, Logistic Regression, SVM, Decision Tree, Random Forest, Neural Networks, LSTM, NLP, and Computer Vision.Report generation, analytics on real-time data, generating KPIs, and creating charts to understand requirements.Processing, cleansing, and verifying the integrity of real-time data used for analysis.Production, modification, and maintenance of websites and web application user interfaces.
    Skills:
    • Python
    • SQL
    • statistics
    • Machine learning
    • Data Analytics
Projects
I have worked on a wide range of projects. From Machine learning to Generative AI. Here are some of my projects.
All
Web App
Deep Learning
Mlops
Analytics
Machine Learning
Genarative AI
PythonGPTLLMAgentic RagLangchainDockerHTMLJavascriptK8CSS
Agricultural conversational multilingual chatbot
Built conversational chatbot for farmers with multilanguage support with open source llm, have added internet search agent option to fetch answer from the internet if llm don't know answer or question related to the current trend. it will support input either text or speech.
PythonLLAMAAgentic RagLangchainHTMLJavascriptLlama cpp
Chat documents
This project will support different types of input files all of which will be stored in an open source vector database. with open source llm or chatgpt we can multiple action with data, q&a, summarization
PythonAzureFlaskMLopsDockerK8CNN
Crop pest and disease prediction(classification model)
Built a classification model to detect pests and diseases in crop leaf images. deployed it in Azure Kubernetes with docker
PythonKerasTensorFlowVGG16PickleHTMLJavascript
Brain Tumor Detection
Preprocessed and augmented the dataset to improve model accuracy, trained the model, created API using model and Python, and used React web app for the project's front end. Achievements: Achieved an accuracy of 99.2% to accurately detect brain tumors from medical images.
PythonLLAMALangchainLlama cpp
Mindmap (Knowledge graph) generation with llm
This project will support csv,excell,pdf,docs,txt,ppt any type of file. it will extract data from the file based on data it will do summarize the data and generate mind map for the data
PythonLLAMAAgentic RagLangchainHTMLJavascriptLlama cpp
Research aget with llm
Crated research agent with open source llm, this agent can learn automatically form the older responses. i have provided internetscrapping support for get information from internet. based on any user query and selected agent type this will do researchon by using its core knowledge and internet .final ouput will be in structure format with intorduction, body and conclusion.
PythonFlaskHerokuDockerHTMLJavascriptCSSRecommendation engine
Book-recommendation
The main objective is to create a book recommendation system for users. based on Model Based Collaborative Filtering , Memory Based Collaborative Filtering , content based filtering, recommendation for new user with popularity
PythonFlaskMachine learningRegressionsk learnHyperparameterEDAFeature selection
Appliance-Energy-Prediction
Goal of project is Predicting energy consumption of home appliances . Did eda, feature selection data cleaning, feature engineering, implemented multiple regression algorithms did hyper parameter tuning and cross validation and model explainability
PythonFlaskMachine learningClassificationsk learnHyperparameterEDAFeature selection
HEALTH-INSURANCE-CROSS-SELL-PREDICTION
Goal of the project is predict weather customers is interested in vehicle insurance or not. Did eda, feature selection, feature engineering, data cleaning, imbalance techniques,implemented multiple classification models did hyper parameter tuning and cross validation and suggestion for the business improvement.
PythonFlaskHerokuDockerK8CI/CD
Model deployment using docker and flask
Deploy machine learning model using docker and flask. with flask created web api and using docker created image and container for model
PythonKerasTensorFlowVGG16PickleReact
Face Recognition
A Face recognition python app made with OpenCV. It uses face_recognition library to detect faces. It uses the webcam to detect faces. It also has a search bar to search for a particular face.
PythonEDAPPTStorytellingExcelVisualizationAnalytics
Eda-on-telecom-chrun
Complete eda on Telecom churn data set and analysis what are factors affecting customer churn and come up with business strategy
PythonRagLLMHTMLNetlifyCSSJSGitFlaskVectorDB
Portfolio
This portfoli contains of all my projects , work experience, skills developed using hrml, css javascipt and added chatbot to chat with my resume.
Education
My education has been a journey of self-discovery and growth. My educational details are as follows.
  • Vellore institute of technology, Vellore
    Master of Technology - MTech, Masters in Mechanical design
    July 2020 - July 2022
    Grade: 9.19 CGPA
    I have Master degree in mechanical design at Vellore institute of technology, Vellore. I have completed 4 semesters and have a CGPA of 9.19.
  • Malnad college of engineering, Hassan
    Bachelor of Technology - BTech, Bachelors in Mechanical
    Aug 2015 - July 2019
    Grade: 7.77 CGPA
    I have Bachelors in Mechanical degree in Mechanical at Mechanical. I have completed 8 semesters and have a CGPA of 7.77.
Contact
Feel free to reach out to me for any questions or opportunities!
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