koustubh Trivedi

Data Analyst

1+ yrs exp 88 · Excellent

About

Masters in Applied Statistics candidate from Symbiosis International University. Managed SQL pipelines and Master Data Management (MDM) processes to ensure data accuracy. Built executive Power BI dashboards to monitor category KPIs for enterprise clients including Samsung, Dell, HP, and Realme. Seeking data Analyst and data science roles to leverage technical data skills, solve complex problems, drive business impact and product strategy.

Skills & Expertise (39)

Python Advanced

8.5/10

Years Exp

SQL Advanced

8.2/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Data Cleaning Advanced

8.0/10

Years Exp

Data Validation Advanced

8.0/10

Years Exp

Exploratory data analysis Advanced

8.0/10

Years Exp

Power BI Advanced

8.0/10

Years Exp

Time-Series Analysis Advanced

7.5/10

Years Exp

Regression Advanced

7.5/10

Years Exp

Hypothesis Testing Advanced

7.5/10

Years Exp

KPI Monitoring Advanced

7.5/10

Years Exp

Excel Advanced

7.5/10

Years Exp

Jupyter Notebook Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Revenue Analysis CTEs GitHub Window Functions System documentation Executive Summaries Process Flow Diagrams Business Process Improvement Workflow Documentation Requirements Gathering SOP Development Business Process Mapping stakeholder communication Dashboard Development Customer Segmentation Conversion Analysis ROAS scikit-learn statsmodels Forecasting Aggregations MySql Postgresql Analytical Reporting NumPy

Work Experience

Master Degree (Specialization in Applied Statistics)

Symbiosis Statistical Institute

Jul 2025 - Present

Analyzed and validated 10,000+ records across 5+ channels using Python, SQL, Excel, and Power BI, identifying data-quality issues, performance gaps, and inconsistencies. Applied statistical analysis, hypothesis testing, segmentation, and root-cause analysis to evaluate business and financial performance. Built an automated dashboard tracking 15+ KPIs, reducing recurring reporting effort by 30%+ and improving consistency of analytical outputs. Presented structured findings and 5+ data-backed recommendations to cross-functional stakeholders and supported implementation tracking.

Data Science Intern

Gumohh TravelTech Pvt. Ltd.

Present - Present

Built an end-to-end Python quantitative risk pipeline covering data ingestion, preprocessing, statistical modelling, forecasting, model validation, and risk analysis. Implemented portfolio-risk measures including volatility, beta, tracking error, drawdowns, stress testing, and factor-risk analysis. Developed reusable analytical modules and automated workflows for consistent model evaluation, risk reporting, and output validation. Exposed analytical outputs through FastAPI, separating data ingestion, modelling, evaluation, and reporting components.