Susritha Akshinthala

Data Analyst

Bengaluru, India 2+ yrs exp 86 · Excellent

About

Data Analyst with 2.5+ years of experience translating complex datasets into actionable business insights using SQL and Python to analyze large operational datasets and Power BI to build dashboards for business performance monitoring. Microsoft Certified Power BI Data Analyst (PL-300), with hands-on experience in exploratory data analysis, root cause analysis, and automating recurring reports — cutting manual reporting time by ~25% through standardized validation workflows.

Skills & Expertise (39)

SQL Advanced

8.0/10

2.5

Years Exp

Power BI Advanced

8.0/10

2.5

Years Exp

Excel Advanced

8.0/10

2.5

Years Exp

Python Intermediate

7.8/10

2.5

Years Exp

Data Cleaning Intermediate

7.8/10

2.5

Years Exp

Pandas Intermediate

7.5/10

2.5

Years Exp

Data Storytelling Intermediate

7.5/10

2.5

Years Exp

Descriptive Statistics Intermediate

7.5/10

2.5

Years Exp

Trend Analysis Intermediate

7.5/10

2.5

Years Exp

Data Modeling Intermediate

7.5/10

2.5

Years Exp

NumPy Intermediate

7.5/10

2.5

Years Exp

DAX Intermediate

7.5/10

2.5

Years Exp

duplicate detection Chroma DB Prompt Engineering Open AI API LangChain Claude Classification Regression Cross-Functional Collaboration Process Improvement Stakeholder Reporting Requirements Gathering Accuracy Checks Reconciliation Power Query validation A/B testing Hypothesis Testing Anomaly Detection Pattern Detection Root Cause Analysis correlation analysis Cohort Analysis Variance Analysis Pivot Tables Data Profiling VLOOKUP

Work Experience

Associate Software Engineer – Data Analytics

Prodapt Solutions

Jan 2024 - Present

Queried and analyzed 50K+ structured records using advanced SQL (joins, subqueries, window functions, aggregations) to surface trends and deliver actionable business insights to stakeholders. Developed and maintained 10+ interactive Power BI dashboards using DAX measures, KPIs, and data modeling, enabling leadership teams to monitor performance metrics in real time. Reduced reporting process time by ~25% by standardizing data validation workflows and automating recurring reports using Power Query and Excel Pivot Tables. Performed Exploratory Data Analysis (EDA) including cohort, trend, variance, and correlation analysis to identify customer behavior patterns and revenue performance drivers. Conducted root cause analysis (RCA) on data anomalies and metric fluctuations, improving overall data accuracy and report reliability. Benchmarked business performance against historical trends and internal targets to support leadership decision-making on revenue and process improvement priorities. Collaborated with cross-functional teams to gather business requirements and translate them into structured analytical outputs — including daily, weekly, and ad-hoc leadership reports. Applied Python (Pandas, NumPy) for data cleaning, transformation, and statistical analysis including hypothesis testing and A/B testing on business datasets.