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

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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.

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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

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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/

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⭐ 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/

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⭐ 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

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⭐ 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

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⭐ 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

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⭐ 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

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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.

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Education

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

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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.

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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.”