Anonymous

Skills

Programming & Scripting: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (T-SQL, PostgreSQL, BigQuery)
Business Intelligence & Visualization: Power BI (DAX, Power Query, Power Automate, Dataflows), Tableau (LOD Expressions, Table Calculations, Version Control), Excel (Pivot Tables, VBA, Power Query), Google Analytics
Data Science: A/B Testing & Statistical Analysis, CRO, Regression modelling, Predictive Modelling & Personalisation, User Behaviour & Product Analytics, hypothesis testing, clustering, time series analysis, trend anomaly detection
Data Analytics & Databases: Snowflake, Microsoft Azure (Databricks, Data Lake, Data Warehouse), Azure Synapse
Collaboration Tools: JIRA, Slack, CRM Salesforce Integration
Soft Skills: Stakeholder Management & Communication, Business Insights & Data Storytelling, Problem-Solving & Critical Thinking, Agile & Cross-Functional Collaboration.

About

Hi, I'm Saurabh Singh, a Data Analyst with a Master’s degree in Artificial Intelligence. I’m passionate about transforming data into strategic insights that help businesses optimize their marketing and pricing decisions.
With almost 2 years of experience in the FMCG and Retail sectors, I have developed a results-driven mindset and I use data storytelling as my strongest skill to uncover actionable insights. I’m proficient in Python, Excel, SQL, Power BI, Tableau, and predictive modeling with a specialization in Business Intelligence.

Through both professional work and independent projects, I’ve:

1- Reduced Manual Data Handling by 30% – I automated ETL pipelines using Python, SQL, and Power Query.

2- Improved Reporting Efficiency by 25% – Streamlined dashboards in Tableau/Power BI to show direct impact on decision-making speed.

3- Increased Promotional Revenue by 15% – My sales and finance KPI dashboards for an FMCG client integrated with Google Analytics helped them during promotional sales.

4- Optimized SQL Queries for 2M+ Rows – I handled large datasets efficiently, enhancing speed and compatibility.

5- Cut Intern Training Time by 50% – I used my documentation and presentation skills as a guide to mentor and lead new talents during their onboarding process.

Outside of work, I’ve built advanced projects like a Drug Recommendation System using sentiment analysis and fraud detection models using machine learning. I love simplifying complex problems and driving impact with data.

Currently, I’m continuing to sharpen my skills in ML and AI through hands-on work and I’m always excited to collaborate with forward-thinking teams solving real-world challenges.