HitheshBabu Muppirala

Data Analyst

Sullurpeta, Andhra Pradesh 80 · Excellent

About

Recent B.E. Computer Science graduate with hands-on expertise in Python, SQL, Power BI, Tableau, and Advanced Excel, applying business intelligence and data analysis skills to real datasets. Certified in Google Data Analytics (Professional Certificate) with a demonstrated ability to translate complex datasets into business decisions that impact revenue, retention, and operational cost. Built end-to-end analytics projects addressing real business problems — customer churn, e-commerce revenue leakage, and workforce attrition — using industry-standard tools and datasets. Fully equipped for remote collaboration across global teams, seeking a Data Analyst or Business Analyst role where analytical work drives measurable business outcomes.

Skills & Expertise (37)

Python Advanced

8.5/10

Years Exp

SQL Advanced

8.5/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Data Cleaning Advanced

8.0/10

Years Exp

Power BI Advanced

8.0/10

Years Exp

Google Sheets Advanced

7.5/10

Years Exp

NumPy Advanced

7.5/10

Years Exp

DAX measures Advanced

7.5/10

Years Exp

Data Validation Advanced

7.0/10

Years Exp

Tableau Intermediate

6.5/10

Years Exp

ETL Basics Intermediate

6.0/10

Years Exp

Funnel Analysis Google Workspace EDA Data Wrangling Quality assurance Repository Management GitHub Churn Analysis Cost-Benefit Analysis KPI Design Market Research Stakeholder Reporting Financial Modelling Index-match VLOOKUP PivotTables Advanced Excel Google Looker Studio Filters Calculated Fields Dashboards CTEs Window Functions Subqueries Joins scikit-learn

Work Experience

Data Analyst

IBM

Present - Present

Analyzed IBM Telco Customer Churn Dataset to identify primary behavioral and contractual drivers of churn. Wrote SQL queries to segment customers by churn risk tier, payment method, and service bundle. Used Python to engineer and validate a cleaning fix for a mismatched data type on the TotalCharges field. Designed a Power BI executive dashboard visualizing churn rate by segment, monthly revenue at risk, early warning signals, and projected retention ROI by intervention type.

Data Analyst

Olist

Present - Present

Analyzed the Olist Brazilian E-Commerce public dataset to map the complete order-to-delivery funnel and quantify where revenue was being lost. Wrote complex multi-table SQL queries to track order conversion, delivery delay rates, seller performance, and review score correlation with repeat purchase behaviour. Built a Power BI dashboard with DAX measures presenting lost order rate, total revenue lost, late delivery rate, and review score impact by delivery status.

Data Analyst

IBM

Present - Present

Investigated IBM HR Analytics Attrition Dataset to surface the root causes of voluntary attrition. Used SQL and Python to isolate the top 5 statistically significant attrition predictors. Built a cost model in Python and SQL estimating annual attrition cost under three replacement-cost scenarios. Developed a Power BI dashboard with DAX measures showing overall attrition rate, total replacement cost, and attrition rate by job role.