Neeti Bhalla
@neetibhalla
Results-driven Data Analyst skilled in Python, SQL, ML and delivering business-impacting analytics.
What I'm looking for
I am a results-driven Data Analyst with a Master’s in Big Data Analytics and practical experience driving revenue growth through data-led insights. I specialize in automating ETL pipelines, web scraping, predictive modeling, and building stakeholder-ready visualizations in Power BI and Tableau.
My work includes processing large-scale datasets, improving data quality, and deploying models and dashboards that reduced manual effort by 70%, improved decision-making by 25%, and helped drive 8–10% revenue gains. I am committed to ethical AI and delivering clear, actionable insights to support strategic business outcomes.
Experience
Work history, roles, and key accomplishments
Data Consultant
Victoria Solutions
Feb 2024 - Present (2 years)
Developed Power BI dashboards with 10+ KPIs to enable real-time performance tracking, improving data-driven decision-making by 25% and processed 500K+ sales and financial records to improve data quality by 20%.
Data Analyst
eClerx Services Ltd
Jun 2022 - Sep 2022 (3 months)
Automated ETL pipelines and web scraping for major retailers, reducing manual effort by 70% and extracting 5,000+ SKUs weekly; developed predictive models improving accuracy by 30% and driving 8–10% revenue growth.
Data Analyst Intern
eClerx Services Ltd
Jun 2021 - Jun 2022 (1 year)
Scraped and managed structured product data from major e-commerce platforms and applied ML models to analyse trends and pricing patterns, producing stakeholder-ready dashboards and reports.
Education
Degrees, certifications, and relevant coursework
Birmingham City University
Master of Science, Big Data Analytics
2022 - 2023
Grade: Merit
Completed Master of Science in Big Data Analytics (Merit) with coursework and projects focused on data engineering, machine learning, and visualization.
Chitkara University
Bachelor of Engineering, Computer Science
2018 - 2022
Grade: 8.96 GPA
Completed Bachelor of Engineering in Computer Science with a GPA of 8.96, covering core computing subjects and software development projects.
Availability
Location
Authorized to work in
Social media
Job categories
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