Skip to content
View jayesh-suthar13's full-sized avatar
1 follower · 0 following
  • jaipur

Block or report jayesh-suthar13

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jayesh-suthar13/README.md

Hi, I'm Jayesh Suthar

Data Scientist / Data Analyst

I build end-to-end data solutions: clean messy data, create predictive models, run experiments (A/B testing), and deliver Power BI dashboards that drive decisions.

Available for freelance / contract work (remote).

📩 Email: jayeshjangid42@gmail.com ·
🔗 LinkedIn: in/jayesh-suthar-588894333 🔗 GitHub: github.com/jayesh-suthar13

What I Can Help You With

  • Power BI Dashboards: KPI tracking, management reporting, automated refresh, DAX measures.
  • Data Analysis: EDA, business insights, cohort/trend analysis, SQL reporting.
  • Machine Learning: Regression/classification models, feature engineering, pipelines, evaluation.
  • NLP Solutions: Sentiment analysis, text classification, recommendation prototypes.
  • Deployment: Streamlit apps for demos or internal tools.

Tech Stack

  • Python: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly
  • NLP: NLTK, spaCy, TF-IDF, BERT
  • BI & Data: Power BI (DAX, Power Query), SQL (advanced queries)
  • Apps & Tools: Streamlit, Render, Git, GitHub

Featured Projects

⭐ Bengaluru House Price Predictor (ML + Deployment)

Regression pipeline with preprocessing and feature engineering, deployed as a Streamlit app for interactive house price predictions.
Tech: Python, Scikit-learn, Pandas, Streamlit
Repo: bengaluruHouse_price_predictor
Live: https://bengaluruhouse-price-predictor-2.onrender.com/

⭐ Movie Recommendation System (TF-IDF + Cosine Similarity)

Content-based recommender that suggests similar movies using TF-IDF vectorization and cosine similarity, deployed as a web app.
Tech: Python, NLP, Scikit-learn, Streamlit, Render
Repo: movie_recommendation_system
Live: https://movie-recommendation-system-coot.onrender.com/

⭐ Airline Review Sentiment Analysis (NLP)

Sentiment classification on British Airways reviews with text cleaning, TF-IDF, and ML models plus visual insights.
Tech: Python, NLTK/spaCy, Scikit-learn, Visualization
Repo: Airline-Review-Sentiment-Analysis

⭐ Ad Performance Study (A/B Testing + Analytics)

A/B testing and statistical analysis to compare ad variants and measure conversion impact with time-based trends.
Tech: Python, Statistics, Regression, Visualization
Repo: Marketing-AB-Testing-Analytics

⭐ Pizza Sales Dashboard (Power BI + SQL Validation)

Interactive Power BI dashboard for sales KPIs, category trends, and performance tracking, validated with SQL queries.
Tech: Power BI, DAX, Power Query, SQL
Repo: pizza_sales_Analysis

⭐ Employee Attrition Dashboard (Power BI)

HR dashboard tracking attrition patterns by job role, age group, and department to support workforce planning.
Tech: Power BI, DAX, Power Query
Repo: Attrition-report-powerbi

Experience

  • Data Analyst Intern — Haroba Interior Infrastructure PVT.: Built Power BI dashboards for reporting and insights.
  • British Airways Virtual Internship — Forage: Performed sentiment analysis and presented business insights.

Education

  • BCA (AI & Data Science) — Poornima University
  • 12th (PCB) — 82.80%

How I Work (Freelance)

  1. Quick call/message to understand goals and data availability.
  2. Data cleaning and exploratory analysis.
  3. Model/dashboard build with weekly updates.
  4. Final delivery: code, documentation, and handover support.

Hire Me

If you need a Data Science project, Power BI dashboard, analytical report, or ML/NLP prototype, I deliver complete, well-structured solutions for your business. Please include:-

  • Goal: What decision you want to improve.
  • Data source: Excel, SQL, CSV, API, etc.
  • Deadline: When you need it done.

“Learning daily. Building real projects. Growing into a Data Science freelancer.”

Pinned Loading

  1. Airline-Review-Sentiment-Analysis Airline-Review-Sentiment-Analysis Public

    Scraped British Airways reviews from airlinequality.com and performed EDA, sentiment analysis, and topic modeling using Python, NLTK, TextBlob, and scikit-learn."

    Jupyter Notebook

  2. bengaluruHouse_price_predictor bengaluruHouse_price_predictor Public

    This project predicts house prices in Bengaluru using multiple regression techniques. The goal is to build a machine learning model that takes in various features like location, size, number of bed…

    Jupyter Notebook

  3. Breast-cancer-prediction- Breast-cancer-prediction- Public

    Breast cancer prediction using ML models (Logistic Regression, Decision Tree, etc.) with preprocessing, EDA, and evaluation on the UCI dataset.

    Jupyter Notebook

  4. Marketing-AB-Testing-Analytics Marketing-AB-Testing-Analytics Public

    A performance analysis of Facebook vs Google Ads using A/B testing, statistical tests, and regression insights to find which platform drives better conversions, clicks, and ROI.

    Jupyter Notebook

  5. movie_recommendation_system movie_recommendation_system Public

    Movie recommendation system using TMDB data to suggest similar movies based on user input and it is deployed on Render.

    Jupyter Notebook

  6. pizza_sales_Analysis pizza_sales_Analysis Public

    This project presents a comprehensive sales analysis of a pizza company using Power BI. The dashboard provides critical insights into order trends, sales performance, and customer behavior across d…