priyansh kushwaha

Data Analyst

Bengaluru, Karnataka 1+ yrs exp 83 · Excellent

About

Data Analyst at an early-stage VC fund, focused on portfolio analytics, valuation modeling, and market research. Works across unit economics, cohort analysis, financial modeling, and Business Intelligence dashboarding in SQL, Python, Power BI, and Excel. Analysis has directly influenced pricing decisions, valuation negotiations, and follow-on funding calls on portfolio companies.

Skills & Expertise (31)

Python Intermediate

7.4/10

Years Exp

SQL Intermediate

7.4/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Statistical Analysis Intermediate

6.8/10

Years Exp

Data Wrangling Intermediate

6.8/10

Years Exp

KPI Tracking Intermediate

6.5/10

Years Exp

Matplotlib Intermediate

6.5/10

Years Exp

Seaborn Intermediate

6.5/10

Years Exp

Postgresql DAX MongoDb Jupyter Notebook Git GitHub Crunchbase Metabase ETL Pipelines Google Sheets Cohort Analysis MySql scikit-learn NumPy Pandas Data Visualization Regression Trend Analysis EDA Funnel Analysis Retention Analysis

Work Experience

Data Analyst

Kodanda Investments Private Limited (AK Holdings Pvt Ltd)

Oct 2025 - Present

Built a unit economics model (CAC, LTV, payback period, contribution margin) for 3 portfolio startups by extracting and cleaning order-level revenue, refund, and cost data via SQL and Python across inconsistent schemas. Developed cohort retention curves revealing 65% user drop-off by Month 3 for one portfolio company, flagged for founder intervention. Uncovered a hidden negative contribution margin masked by GMV growth; findings drove a pricing pivot that improved margins by 11% in one quarter. Delivered a board-ready Excel financial model with best/base/worst-case scenarios, used by partners in follow-on funding decisions. Created a comparable valuation model from 400+ Indian deep-tech seed/pre-seed deals, segmented by sub-sector, funding stage, and traction tier, using SQL and Python. Generated P25-P90 valuation percentile bands per segment and created box/violin plot visualizations in Seaborn to clarify ranges for non-technical partners. Flagged a founder's Rs.50Cr ask as P90 for a pre-revenue company, giving partners the data to negotiate down to Rs.30Cr (~Rs.2Cr saved). Converted the model into a reusable Excel valuation reference card with DAX-powered lookups used in every term sheet discussion.

BI Developer / Data Analyst Intern

ICRIT Infotech

Jan 2025 - Jun 2025

Analyzed 10,000+ business records via SQL to support operational and performance reporting across departments. Designed 6+ Power BI dashboards tracking KPIs and monthly performance metrics for stakeholder review. Improved reporting accuracy by approximately 25% through systematic data validation and standardization. Translated business requirements into structured analytical reports and visualizations with cross-functional stakeholders.