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anubhavmishra90

Anubhav M

@anubhavmishra90

Data Analyst

Inde
Anglais, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
I am a results-driven Data Analyst with over 2 years of experience transforming raw data into actionable business insights. I specialize in Python, SQL, Power BI, and Machine Learning to develop predictive models and automated reporting workflows that solve real-world business problems.... Plus d’infos

Compétences

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anubhavmishra90
Anubhav M
hors ligne • 

Voir mes services

Saisie manuelle de données
I will do strong, trustworthy and very fast work
De20 $US / projetPlus de détails

Expérience professionnelle

Tech_Report

Data/Business Analyst

Tech Report • Temps plein

Jan 2024 - Present • 2 yrs 9 mos

Key Responsibilities Collected, cleaned, transformed, and validated large datasets from multiple data sources to ensure high-quality analysis. Developed interactive dashboards and executive reports using Power BI and Advanced Excel to monitor key business KPIs. Wrote complex SQL queries to extract, join, and analyze data from relational databases. Automated recurring reports and data processing workflows using Python, reducing manual effort and improving operational efficiency. Performed Exploratory Data Analysis (EDA) to identify trends, patterns, anomalies, and business opportunities. Built business intelligence reports that supported strategic planning and data-driven decision-making. Created data visualizations and presentations for management, enabling clear communication of analytical findings. Conducted statistical analysis and generated actionable insights to improve organizational performance. Collaborated with cross-functional teams to gather business requirements and deliver analytical solutions. Designed and maintained Excel-based MIS reports, dashboards, and automated reporting systems. Performed data quality checks, cleansing, and preprocessing to maintain data integrity. Assisted in developing predictive analytics and machine learning solutions for business use cases. Documented analytical processes, SQL queries, and reporting workflows for future scalability and maintenance. Supported stakeholders by delivering ad hoc analyses and customized reports within tight deadlines.