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naresh_bannelly

Naresh B

@naresh_bannelly

Data Analyst

Indien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Hi, I’m a Data Analyst specializing in Excel, Power BI and Tableau solutions that help businesses make better decisions using clean, accurate, and actionable dashboards I primarily work with Excel, Power BI and Tableau to build automated reports, and decision-ready dashboards. I use SQL, Python, and API integration where needed to support deeper analysis and scalable reporting. What I can help you with: ✔ Advanced Excel models (Power Pivot, Power Query) ✔ Data cleaning & analysis in Python (Pandas, NumPy) ✔ Converting raw data into clear, decision-ready insights... Mehr lesen

Kompetenzen

n
naresh_bannelly
Naresh B
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Daten-Dashboards
I will design impactful power bi dashboards for your business
Daten-Dashboards
I will build a professional ecommerce sales and inventory excel dashboard

Portfolio

Arbeitserfahrung

DATA

Senior AI Analyst

DATA • Vollzeit

Feb 2021 - Present5 yrs 3 mos

Designed and maintained robust data ingestion pipelines using Apache Airflow, integrating raw data from Google Cloud Storage (GCS) to BigQuery, enabling efficient, scalable data access for analytics and AI models. • Conducted in-depth Exploratory Data Analysis (EDA) using Python (Pandas, NumPy) and SQL to identify anomalies, trends, and performance drivers across client datasets. • Applied data wrangling, cleansing, and preprocessing techniques to ensure high-quality inputs for machine learning models and business intelligence dashboards. Developed predictive sales models for new product launches by analyzing performance of “sister” products. • Built interactive Power BI and Tableau dashboards and Excel-based reporting tools to visualize model outcomes, sales trends, and forecasting accuracy for stakeholders. • Partnered with data scientists and engineers to validate AI model outputs, translate complex analytical insights into business recommendations, and ensure seamless AI integration into client operations. • Automated QC and validation checks on pricing and cost data through SQL-based validation layers, enhancing data integrity and reducing manual reporting efforts by 30%. • Ensured continuous improvement in AI model performance and data reliability by monitoring key metrics, analyzing drift, and implementing corrective measures.