Shilpa Tumma

Data Analyst and Data Scientist

Surat, Gujarat 0+ yrs exp 82 · Excellent

About

Data Analyst and Data Scientist with hands-on experience in Python, SQL, Power BI, and Machine Learning, building real-world analytical solutions. Skilled in data cleaning, EDA, KPI analysis, dashboard development, and ML model building, with a track record of translating raw datasets into clear, actionable business insights. Experienced in delivering end-to-end projects from data ingestion to interactive reporting.

Skills & Expertise (35)

SQL Intermediate

7.4/10

Years Exp

Python Intermediate

7.4/10

Years Exp

Pandas Intermediate

7.4/10

Years Exp

NumPy Intermediate

7.4/10

Years Exp

Advanced Excel Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Machine Learning Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

Supervised Learning Intermediate

6.5/10

Years Exp

Unsupervised Learning Intermediate

6.5/10

Years Exp

KPI Analysis Intermediate

6.5/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

Deep Learning Intermediate

6.5/10

Years Exp

Computer Vision Intermediate

5.5/10

Years Exp

TensorFlow Intermediate

5.5/10

Years Exp

Keras Intermediate

5.5/10

Years Exp

OpenCV Intermediate

5.5/10

Years Exp

Flask Intermediate

5.0/10

Years Exp

Git Intermediate

5.0/10

Years Exp

Google Colab Intermediate

5.0/10

Years Exp

Jupyter Notebook Intermediate

5.0/10

Years Exp

Visual Studio Code Intermediate

5.0/10

Years Exp

MySQL WorkBench Intermediate

5.0/10

Years Exp

Seaborn Intermediate

5.0/10

Years Exp

Matplotlib Intermediate

5.0/10

Years Exp

Looker Studio Intermediate

5.0/10

Years Exp

Power Query Intermediate

5.0/10

Years Exp

DAX Intermediate

5.0/10

Years Exp

NLP LSTM RNN CNN EDA

Work Experience

Data Analyst

CodeInYourself

Oct 2025 - Present

Analysed 10,000+ records using Python (Pandas, NumPy) to uncover sales trends, customer behaviour patterns, and data quality issues — reducing manual reporting effort through automated analysis scripts. Wrote SQL queries using JOINs, Window Functions, Stored Procedures, Views, and Indexes to extract and transform data for business reporting and ad-hoc analysis. Built interactive Power BI dashboards to track KPIs including revenue growth, customer retention, and product performance — enabling data-driven decision-making for cross-functional teams. Developed 3+ machine learning models achieving ~80% prediction accuracy on structured datasets using Scikit-Learn, covering classification and regression tasks.