Day: January 28, 2025

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目標: “$100M” in FDIC insured CDs

~”50年”、05:00A~ McDonald’s Safeway

• 09:21AM GREEN, free to Costco ($1.50)

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$10万 저축 in Able-now

JINU “미주장학재단” version 完成

Mathematics MS, UAF (stipend)

• Mathematics MS, IndState
• M.Ed Credential, UAF

Statistics MS, UAF (stipend)

• Statistical Science MS, UIdaho
• Special Education M.Ed, UAF

Roth IRA 毎年$7,500 (2028~ / 2030~ )

(9) 2028~2037

Solo 401(k) {2037}~2064

(9) 2037~2046

(9) 2046~2055

2793 W 3rd Ave duplex BUILD

• 毎年$3万 perpetual 저축

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(9) Mathematics Education PhD, UNH (stipend)

(9) Mathematics PhD, CS minor, Oregon State (stipend)

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https://iamisjourney.abramjmeister.com/2025/01/28/impromptu-2/

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Roth IRA 毎年$7,500 (2028~2055~2082)

(9) 2028~2037

勝負: 2034 06~ 衣食住 해결 後、

• 毎9年 (재)도전 “500개” × 8번

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Solo 401(k) 毎年$6万 {2037}~2064

(9) 2037~2046

• 毎9年 (재)도전 “500개” × 7번 유지

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(9) 2046~2055

• 毎9年 (재)도전 “$100M” × 5번
• – 5万名 × 月$30 × 毎9年、”$100M”

2793 W 3rd Ave duplex BUILD

• 毎年$3万 perpetual 저축
• – 소셜 시큐리티 70歳 수령
• – Roth IRA into SPIA
• – duplex 1 unit rental income

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(9) Mathematics Education PhD, UNH (stipend)

(9) Mathematics PhD, CS minor, Oregon State (stipend)

• Mathematics Research
• Into
• Mathematics Education
• – “Computer Graphics & Visualization”

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John1.5Generation.US

• EA CPA M.Ed MFA MS PhDs
• CsamiGroup.com Inc.
• – AK Allowable Absences (AB 540)
• – AK Residency (annual PFD)
• – AK S Corp, CsamiGroup.com Inc

2793 W 3rd Ave duplex,Cutler,Raven Landing

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Roth IRA 毎年$7,500 (2028~2055~2082)

(9) 2028 은퇴 I. ~2037

• 2025
• 2026
• 2027

Solo 401(k) {2037}~2064

(9) 2037~2046

(9) 2046~2055

2793 W 3rd Ave duplex BUILD

• 毎年$3万 perpetual 저축

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(9) 2055~2064

(9)

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(9) 2073~2082

(9)

(9)

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CPA-KAGRO.CsamiGroup.com

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SSDI EBT Cash Aid Medicaid PFD

毎年 >$15,000 저축

John1.5Generation.US

• EA CPA M.Ed MFA MS PhDs MAcc MST MSW JD

>>CPA-KAGRO.CsamiGroup.com

• 2025
• 2026
• 2027
• 2028
• 2029
• 2030

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(9) 2028~2037

(9) 2037~2046

(9) 2046~2055

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(9)

(9)

—

(9)

(9)

(9)

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Alabama
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Ohio
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Wisconsin
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2026 2027 2028 08 / 2029 08 / 2030 08 준비

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2034 06~2055 衣食住 해결 & 勝負

• 307 W 5th Ave #10
• 2793 W 3rd Ave duplex BUILD
• – 毎年 “$3万” perpetual 저축

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(9)

(9)

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(9)

(9)

(9)

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SELECT *
FROM combined_table
JOIN lastname
ON combined_table.Full_name LIKE '% ' || lastname.field1 || ',%'

CREATE TABLE combined_table AS SELECT * FROM "1";

INSERT INTO combined_table SELECT * FROM "2";
INSERT INTO combined_table SELECT * FROM "3";
INSERT INTO combined_table SELECT * FROM "4";
INSERT INTO combined_table SELECT * FROM "5";
INSERT INTO combined_table SELECT * FROM "6";
INSERT INTO combined_table SELECT * FROM "7";
INSERT INTO combined_table SELECT * FROM "8";
INSERT INTO combined_table SELECT * FROM "9";

Ahn
Bae
Baek
Bang
Byun
Cha
Chae
Chang
Cheong
Choi
Chung
Do
Dong
Eom
Gong
Go
Gu
Gwak
Ha
Ham
Han
Heo
Hong
Hwang
Im
Jang
Je
Jeon
Jeong
Jo
Ju
Jung
Kang
Kim
Ko
Koo
Kwak
Kwon
Lee
Lim
Ma
Moon
Nam
Na
No
Oh
Park
Pyo
Seo
Seok
Shin
Son
Song
Suh
Tak
Yang
Yeom
Yeo
Yeon
Yoon
Yoo
Yu

import os
import sqlite3
import pandas as pd

# Use the current folder where the script is located
folder_path = os.path.dirname(os.path.abspath(__file__))
database_path = os.path.join(folder_path, 'database.db')  # Database file in the same folder

# Connect to the SQLite database (or create it if it doesn't exist)
conn = sqlite3.connect(database_path)
cursor = conn.cursor()

# Function to import CSV to SQLite
def import_csv_to_sqlite(file_path, conn):
    # Extract table name from the file name (without extension)
    table_name = os.path.splitext(os.path.basename(file_path))[0]

    # Load CSV into a Pandas DataFrame
    try:
        df = pd.read_csv(file_path)
        # Write the DataFrame to SQLite
        df.to_sql(table_name, conn, if_exists='replace', index=False)
        print(f"Imported {table_name} successfully!")
    except Exception as e:
        print(f"Error importing {file_path}: {e}")

# Loop through all CSV files in the folder
for file_name in os.listdir(folder_path):
    if file_name.endswith('.csv'):
        file_path = os.path.join(folder_path, file_name)
        import_csv_to_sqlite(file_path, conn)

# Close the database connection
conn.close()
print(f"All CSV files in '{folder_path}' have been imported into the SQLite database: {database_path}")