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gurleentamber

gurleen saini

@gurleentamber

data analytics

Índia
Inglês, Hindi, Panjabi
Algumas informações são exibidas no idioma inglês.
Sobre mim
Hi! I am Gurleen, a data analyst specializing in Python, SQL and Machine Learning. I help businesses turn raw data into interactive dashboards, automated reports and ML models that drive real decisions. 3 complete projects delivered from scratch including a live market intelligence dashboard, customer churn prediction with 80% accuracy and retail sales analysis finding $50,000 profit recovery. Live Dashboard: ollbxkgy976jdgg5xjywbl.streamlit.app Full Portfolio: github.com/gurleensainitamber15/ data-analytics-portfolio Message me. Let us work together!... Saiba mais

Habilidades

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gurleentamber
gurleen saini
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Conheça meus serviços

Consultoria em data analytics
I will do python data analysis and create an interactive dashboard with PDF report
A partir deUS$ 30 /projetoMais detalhes
Consultoria em data analytics
I will build an interactive python streamlit dashboard for your business data
A partir deUS$ 55 /projetoMais detalhes

Portfólio

Experiência profissional

Data Analyst

iHackers Inc. (CryptoMize) • Período integral

Aug 2025 - Dec 2025 • 4 mos

During my time as a Data Analyst at iHackers Inc. under the CryptoMize division from August 2025 to December 2025, I worked in a fast paced professional environment analyzing cryptocurrency market data, user behavior patterns and business performance metrics to support data driven decision making. My primary responsibilities included collecting, cleaning and analyzing large volumes of raw data from multiple sources using Python and Pandas, then transforming that data into clear dashboards, visualizations and automated reports that non technical team members could understand and act on. Key achievements during this role: Built interactive dashboards tracking cryptocurrency market trends and user activity giving leadership a real time view of business performance and reducing manual reporting time from hours to minutes. Developed an automated weekly reporting system in Python that eliminated a time consuming manual process, saved the team significant hours every week and removed human errors from the reporting workflow completely. Wrote SQL queries to extract business insights from the company database supporting product, finance and marketing teams with clean accurate data for their decision making. Created professional charts and visualizations using Matplotlib and Plotly covering price trends, user growth and performance benchmarking across different time periods. This role gave me strong professional experience in the complete data analytics workflow and a clear understanding of what businesses actually need from their data.