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Data-Driven Solutions
with Engineering Precision

I design and implement data-driven venture capital workflows - from automated deal-flow scoring and portfolio analytics to fundraising preparation and pitch optimization. Combining hands-on VC experience with Industrial Engineering studies at TU Berlin, I deliver measurable results for both fund operators and founders.

TU Berlin
Data-Driven
Berlin, DE

Services

End-to-End VC Solutions

Data-driven venture capital and startup funding solutions designed to improve real investment metrics

VC Deal-flow Scoring

Text + metadata ranking to prioritize inbound pitch decks using embeddings, gradient-boosting, and SQL. Research-grade analysis with transparent scoring features.

Key Benefits

Faster triageTransparent scoringData-driven decisions

Pitch Deck Assessment

Comprehensive analysis including market sizing, business model validation, competitive positioning, and financial projections review.

Key Benefits

Risk assessmentReadiness scoringFounder feedback

Fundraising Support

End-to-end fundraising assistance including investor matching, due diligence preparation, valuation modeling, and pitch optimization.

Key Benefits

Higher success ratesBetter valuationsFaster cycles

Workflow Automation

Streamline VC operations with automated deal sourcing, portfolio monitoring, reporting pipelines, and investor communication workflows.

Key Benefits

Operational efficiencyScalable processesData insights

About

Combining VC Expertise with Engineering Rigor

As a venture analyst and data scientist, I bring a unique perspective to VC operations by combining hands-on investment experience with formal training in Industrial Engineering at TU Berlin.

My technical approach leverages Python, ML libraries, financial modeling, and CRM integrations to build transparent scoring systems that drive better investment decisions.

Based in Berlin, I work fast, document clearly, and deliver measurable results that directly impact fund performance.

Connect on LinkedIn

Core Competencies

Investment Analysis

Deal-flow scoring, due diligence automation, market research

Data Science & ML

Embeddings, gradient boosting, financial modeling

Venture Operations

Portfolio monitoring, fundraising workflows, KPI tracking

Technical Stack

Python, SQL, CRM integrations, dashboard development

Portfolio

Selected Work

Venture capital and startup funding projects showcasing data-driven solutions

AI Music Video Generator - blue wave of light

Hackathon Winner

Generative AI

AI Music Video Generator

Won a jury prize at the Google AI Hackathon for an AI-powered music video generator. The system combines generative models for both audio understanding and visual synthesis to automatically produce music videos from input tracks.

Event

Google AI Hackathon

Deliverable

Working prototype + live demo

Recognition

Jury Prize Winner

Stack

Generative AI, Python

Details Coming Soon
AI Agents - metal structure

Research Presentation

VC Research

AI Agents in Workflow Automation

A comprehensive VC research presentation mapping the agent landscape-definitions, autonomy levels, protocols like MCP-key use cases, risks, and investment angles.

Methodology

Desk research, market mapping

Deliverable

Slide deck (PowerPoint/Figma)

Insight Quality

Actionable

Outcome

Agent taxonomy + use-case matrix

View Case Study
IoT Motion Detection - circuit board

Hardware Prototyping

IoT Engineering

IoT Motion Detection System

Led a team of 4 through a 10-week IoT Boot Camp at MotionLab Berlin. End-to-end prototyping from Design Thinking workshops through to a working motion detection demo-combining laser cutting, 3D printing, PCB fabrication, and a Python/Git software stack.

Team

4-person cross-functional team

Duration

10 weeks (May-July)

Methods

Design Thinking, rapid prototyping

Skills

Python, hardware prototyping, PCB design

View LinkedIn Post

Let's Work Together

Tell me what you need built or improved. I'll reply with a short plan, timeline, and a fixed or milestone-based quote.

or email directly at david@mkhitaryan.io

David Mkhitaryan

© 2026 David Mkhitaryan. All rights reserved.