Ajay Vatupalli
@ajayvatupalli
I turn sales data into Power BI dashboards, KPIs, and actionable business insights.
What I'm looking for
I've analyzed 20,000+ pizza sales transactions with SQL and built a Power BI dashboard that reduced manual reporting time by 40%.
I identified Thai Chicken Pizza as the highest-selling product and analyzed weekend demand trends to support staffing optimization. I also delivered sales analysis for an electronics and furniture retailer across 10,000+ records, identifying laptops and 4K LED TVs as top revenue-generating products.
I'm building hands-on experience through data analysis work using Python, SQL, Excel, and Power BI, including data cleaning, transformation, exploratory data analysis, missing-value imputation, and outlier treatment.
With a Master's in Computer Science and Engineering and a background in Artificial Intelligence and Machine Learning, I focus on turning structured datasets into clear KPI reports, dashboards, and business recommendations.
Experience
Work history, roles, and key accomplishments
Data Analyst
AnalytixLabs Institute
Jun 2026 - Present (2 months)
Gaining hands-on experience in data cleaning, data transformation, and exploratory data analysis (EDA) on structured datasets. Applying data analysis with Python (Pandas, NumPy), SQL, and Excel to generate business insights.
Education
Degrees, certifications, and relevant coursework
Pace Institute of Technology and Sciences
Master of Technology, Computer Science and Engineering
2024 -
Grade: 7.7/10.00
Pursuing a Master of Technology in Computer Science and Engineering with a CGPA of 7.7/10.00.
AnalytixLabs Institute
Training Program, Data Analysis
2026 -
Currently enrolled in a Data Analyst Training Program, gaining hands-on experience in data cleaning, transformation, and exploratory data analysis.
Pace Institute of Technology and Sciences
Bachelor of Technology, Artificial Intelligence and Machine Learning
2020 - 2024
Grade: 7.4/10.00
Completed a Bachelor of Technology in Artificial Intelligence and Machine Learning with a CGPA of 7.4/10.00.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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