Data Analyst Quality

MANIDEEP PIPPARI

DATA ANALYST

****.*******@*****.*** +1-872-***-**** New York (Open to relocate)

http://linkedin.com/in/manideep-pippari

SUMMARY

Data Analyst with hands-on experience in analyzing complex datasets to generate actionable business insights. Proficient in SQL, Python, and Tableau with strong skills in data cleaning, statistical analysis, data visualization, and data mining techniques. Driven by a passion for turning data into actionable insights that solve real business problems. Known for streamlining processes, improving data accuracy, and delivering analytical solutions that align with organizational goals. Comfortable working across teams to uncover opportunities, optimize performance, and support strategic decision-making through data. EDUCATION

Sacred Heart University Sep 2023 - Dec 2024

Master of Science (M.S.) in Business Analytics

Dr.Narayana College of Commerce 2017 - 2020

Bachelor Of Business Administration

TECHNICAL SKILLS

Excel

SQL

Business Statistics

Python Programming

Power BI

Tableau

Data Management

EXPERIENCE

INTELLIGRAFT SOLUTIONS PRIVATE LIMITED Mar 2021 - Feb 2022 DATA ANALYST

Extracted relevant customer feedback through SQL queries from databases containing millions of rows, streamlining search results by reducing response time during analysis processes with an average improvement of six hours per project cycle.

Understand and document data quality issues.

Use tools like Excel, SQL, Python (pandas, numpy) or R to explore datasets. Generate basic statistical summaries (mean, median, standard deviation, etc.). Analyzed trends from over 10 million transaction records, uncovering actionable patterns that informed marketing strategies and led to enhanced targeting efforts resulting in a significant uptick in user engagement.

Create dashboards and reports using Power BI, Tableau, or Excel. Support in building visualizations like bar charts, line graphs, pie charts, and heatmaps. Established centralized data dictionary, documenting 15+ key data sources and code logic that improved data quality by 20% and reduced reporting errors by 15% across teams. Established a standardized data documentation process, creating data dictionaries and metadata repositories for 5+ key datasets; this allowed new team members to onboard faster. Collaborate with business or functional teams to understand requirements. Present findings in simple, business-friendly terms. Centralized cross-functional data requests using Jira, establishing a single point of contact and reducing response time by 40% while managing and resolving 5+ ad-hoc requests weekly. Implemented SQL queries to extract customer purchase history, reducing data retrieval time by 30% and enabling faster generation of personalized marketing campaign lists. Spearheaded data cleaning initiative using Pandas, resolving 150+ data quality issues flagged by the sales team and improved data accuracy by 20% for quarterly reports. Automate recurring reports where possible.

SOFT SKILLS

Critical Thinking and Innovation.

Agile Project Management

Advanced Communication

Cross-functional Team Leadership

Strategic Problem Solving

CERTIFICATION

IBM 2025-04-13

INTRODUCTION TO DATA ANALYTICS

An online non-credit course authorized by IBM and offered through Coursera.

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