Fifth Elephant Day #1 Notes - Part I

Sessions # - Link

Talk #1 - Data for Genomic Analysis

Great talk by Ramesh. I had attended his session / technical discussion earlier. This session provided insights on genome / discrepancies in genome sequence leading to rare diseases.

Genome - 3 Billion X 2 Characters
Character variables varies from person to person
Stats (1/10th of probability of cancer)
Baseline risk for breast cancer (1/8),(1/70) ovarian cancer
BRCA1 mutation (5-6 fold increase in breast cancer, 27 fold increase for ovarian cancer)

In India

• 35% inherited risk mutation
• 1/25 Thalassemia 
• 1 in 400-900 Retinitis Pigmentosa
• 1 in 500, Hypertrophic Cardiomyopathy

Data Processing

• 1 Billion reads - 100GB data per person
• Very similar sequence yet one character might differ
• But reference is 3 Billion long

Efficiency

• Need fast indexing
• Suffix Trees and variations
• Hash table based approaches

Reference Genome Sequence

• Volume of data
• Funnel down of variety of dimensions
• Triplet Code (Molecule)
• Variants of Triplets nailed down to difference of gnome
• GPU processing / reduce computation time

Concepts Discussed / Used

• Hypothesis Testing
• Stats Models
• GPU Processing to reduce computation time

They also provide assessment for hereditary diseases at corporate level.

Talk #2 - Alternative to Wall Street Data

This session gave me some new strategies to collect / analyze data

How to Identify occupancy rate at hotel ?

•  Count of cars from parking lots
•  Number of rooms lights on
•  Take pics of rooms from corner of street and predict based on images collected
•  Unconventional ways to think of data collection (Beating the wall street model)

What are usual ways

•  Checking websites

From Investor perspective lodging key metrics is a very important aspect
Data Sources

• Direct data gathering
• Web harvesting
• Primary research

Primary Research

• Look at notice patterns in front of you
• Difference in invoice numbers
• Serial number changes, difference values

Free Data Sets in link
Lot of opportunity

• Analyze international markets (India / China)
• COGS
• SG
• ETC

How to value data sets ?

• Scarcity - How widely used
• Granularity - Time / aggregation level
• Structured
• Coverage

What is the generative value

• Revenue Surprise Estimates
• Dataset insight / Analysis
• Operating GAAP measures

A Great case study on impact of smart watch vs luxury watch was presented ? This session provides great insight into unconventional data collection ways

• Generate money in automated system
• Stock sensitivity to revenue surprises
• Identify underlying ground truth

"Some Refreshing changes to world of investment"

Happy Learning!!!