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datacraftteam

Karen Neha

@datacraftteam

Data Analyst

Inde
Anglais, Hindi, Telugu
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

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datacraftteam
Karen Neha
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Analyse BI
I will handle data entry, sql and data analysis tasks
De10 $US / projetPlus de détails
Tableaux de bord des données
I will create professional dashboards in power bi or tableau
De10 $US / projetPlus de détails

Expérience professionnelle

Data Analyst Intern

Lilac Insights • Temps plein

Jun 2025 - Dec 2025 • 6 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 • Temps partiel

Sep 2024 - Nov 2024 • 2 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%