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datacraftteam

Karen Neha

@datacraftteam

Data Analyst

Índia
Inglês, Hindi, Telugu
Algumas informações são exibidas no idioma inglês.
Sobre mim
We are a 2-member data science team specializing in data analysis, visualization, and machine learning. We help businesses transform raw data into meaningful insights using Python, SQL, and BI tools. Our team approach ensures faster delivery, accurate results, and clear communication. If you’re looking for reliable, insight-driven data solutions. Let’s work together.... Saiba mais

Habilidades

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datacraftteam
Karen Neha
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

BI Analytics
I will handle data entry, sql and data analysis tasks
Painéis de dados
I will create professional dashboards in power bi or tableau

Experiência profissional

Data Analyst Intern

Lilac Insights • Período integral

Jun 2025 - Dec 20256 mos

• Built Python automation scripts to digitize offline medical records by extracting unstructured PDF data into structured Excel datasets. • Performed EDA, data cleaning, transformation, and visualization in Excel using formulas, pivot tables, and charts. • Designed and created SQL databases, imported Excel records, merged data from multiple sources, and performed feature extraction to build a robust analytical database. • Managed databases and provided role-based data access, delivering required tables and records to different departments via email. • Developed Zoho dashboards for managers and departments to support cost optimization, spending analysis, marketing strategy changes, and ROI improvement.

data analyst

Internship studio • Meio período

Sep 2024 - Nov 20242 mos

• Engineered large-scale analytical workflows across COVID-19 (400K+ records) and retail datasets (10K+ entries), uncovering key mortality disparities across 190+ countries and reducing retail data inconsistencies by 85% through automated SQL/Python pipelines. • Designed interactive dashboards and insight-rich reports that revealed infection rate patterns, economic impact correlations, and revenue-driving customer segments—enabling stakeholders to allocate resources 30% more effectively and boost retention by 22%