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WhatsApp Chat with +91 77719 74705 copy.txt
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03/02/24, 8:33 pm - Messages to yourself are end-to-end encrypted. No one outside of this chat, not even WhatsApp, can read or listen to them. Tap to learn more.
03/02/24, 8:33 pm - surajojha03: https://raw.githubusercontent.com/harika-bonthu/SupportVectorClassifier/main/datasets_229906_491820_Fish.csv%22
05/02/24, 6:44 pm - surajojha03: {"email":["This field is re quired."],"fresher_job": ["This field is required."]}
06/02/24, 6:44 pm - surajojha03: {"user_email": ["Incorrect type. Expected pk value, received str."],"job_profile": ["Incorrect type. Expected pk value, received str."]}
09/02/24, 12:17 am - surajojha03: Dear [Manager's Name],
I hope this email finds you well. I regret to inform you that due to personal financial constraints, I must resign from my position at [Company Name], effective immediately.
I have valued my time here and appreciate the opportunities provided to me. If there are any possibilities for assistance or adjustments that would allow me to continue, I am open to discussing them.
Thank you for your understanding.
Sincerely,
[Your Name]
09/02/24, 12:19 am - surajojha03: Dear [Manager's Name],
I hope this email finds you well. I regret to inform you that due to personal financial constraints, I must resign from my position at [Company Name], effective immediately.
I have valued my time here and appreciate the opportunities provided to me. If there are any possibilities for assistance or adjustments that would allow me to continue, I am open to discussing them.
Thank you for your understanding.
Sincerely,
[Your Name]
09/02/24, 12:20 am - surajojha03: Subject: Resignation Due to Financial Constraints and Request for Assistance
09/02/24, 12:31 am - surajojha03: Dear Sanjeev Pal,
I hope this email finds you well. I regret to inform you that I must resign from my position at CRTD Technologies due to personal financial constraints. As an unpaid employee, it has become increasingly difficult for me to continue in my role.
I have valued my time here and the opportunities provided to me. However, if there is any possibility of assistance or adjustments that would allow me to continue, such as providing a stipend, I am open to discussing them.
Additionally, I kindly request that my certificates and an experience letter be prepared and released to me as soon as possible to facilitate my transition.
Thank you for your understanding.
Sincerely, [Your Name]
21/02/24, 8:01 pm - surajojha03: Dear Hiring Manager,
I am writing to express my interest in the Business Analyst position advertised on LinkedIn. With a strong background in business analysis and a passion for leveraging data to drive strategic decisions, I am excited about the opportunity to contribute to your team.
In my previous roles, I have successfully conducted market research, identified key business trends, and developed actionable insights to support decision-making processes. My experience in data analysis, stakeholder engagement, and project management has equipped me with the skills necessary to excel in a dynamic and collaborative environment.
I am particularly drawn to your commitment to innovation and continuous improvement. I am eager to apply my analytical skills to identify opportunities for process optimization and drive business growth.
Attached is my resume, which provides further detail about my qualifications and achievements. I would welcome the opportunity to discuss how my background, skills, and passion align with the needs of your team.
Thank you for considering my application. I look forward to the possibility of contributing to your success.
Sincerely,
Suraj Ojha
7771974705
21/02/24, 9:45 pm - surajojha03: <Media omitted>
24/02/24, 9:17 pm - surajojha03: import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score, classification_report, confusion_matrix
from sklearn.preprocessing import StandardScaler
# Load the dataset into pandas DataFrame
file_path = 'Fraud.csv'
df = pd.read_csv(file_path)
# Perform one-hot encoding on categorical variables
df = pd.get_dummies(df)
# Split data into features (X) and target variable (y)
X = df.drop(['isFraud'], axis=1)
y = df['isFraud']
# Split the data into training and testing sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# Standardize features
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
# Train the logistic regression model
logistic_model = LogisticRegression()
logistic_model.fit(X_train_scaled, y_train)
# Make predictions on the testing set
y_pred = logistic_model.predict(X_test_scaled)
# Evaluate the logistic regression model
print("Logistic Regression Classifier:")
print("Accuracy:", accuracy_score(y_test, y_pred))
print("Classification Report:")
print(classification_report(y_test, y_pred))
print("Confusion Matrix:")
print(confusion_matrix(y_test, y_pred))
06/03/24, 1:21 pm - surajojha03: <Media omitted>
06/03/24, 1:21 pm - surajojha03: <Media omitted>
06/03/24, 1:21 pm - surajojha03: <Media omitted>
06/03/24, 1:21 pm - surajojha03: <Media omitted>
06/03/24, 1:21 pm - surajojha03: <Media omitted>
06/03/24, 1:21 pm - surajojha03: <Media omitted>
10/03/24, 8:29 pm - surajojha03: <Media omitted>
02/04/24, 1:42 pm - surajojha03: Course Name: Visitor & Student Visa Assistance
Duration: 2 Weeks + 2 Months Support
Class Time: 7 or 8 PM (1 to 2 Hour Class)
Fees: Rs. 30,000 (Choose one country: Australia, Canada, New Zealand, UK, USA)
Content: Visa File Preparation, Client Counseling, Financials, Form Filling, SOP Writing, Document Collection, Embassy Submission, Passport Collection, Client Fee Collection in Advance.
02/04/24, 2:12 pm - surajojha03: www.thetourismschool.com
02/04/24, 2:13 pm - surajojha03: www.thetourismschool.com
02/04/24, 2:13 pm - surajojha03: #travelindustry hashtag#gdscourse hashtag#tourismschool
03/04/24, 1:17 am - surajojha03: <Media omitted>
03/04/24, 1:18 am - surajojha03: <Media omitted>
05/04/24, 11:11 pm - surajojha03: project involves building a deep learning model to classify images of cats and dogs. It includes the following steps:
Preparing the dataset, which consists of images of cats and dogs.
Building a Convolutional Neural Network (CNN) model architecture.
Training the model using the training dataset.
Evaluating the model's performance on a separate testing dataset.
Making predictions on new images to classify them as either cats or dogs.
The model learns from the dataset to automatically identify features that distinguish between cats and dogs. After training, it can accurately classify new images into the appropriate category.
05/04/24, 11:14 pm - surajojha03: https://drive.google.com/drive/mobile/folders/1sQhn2RpA-OsDpXF8e1LaLgdNXjG9zGPE?pli=1
07/04/24, 11:56 pm - surajojha03: <Media omitted>
10/04/24, 12:39 am - surajojha03: https://app.wishup.co/application/description/oam/tests/670460
15/04/24, 12:23 am - surajojha03: https://docs.google.com/spreadsheets/d/1JhJLsEeF4abTHbB4buSouoD4ENTDLocsgv8hW1wbDts/edit#gid=666001561
15/04/24, 1:43 am - surajojha03: https://github.com/suz03/Forecasting-the-female-births.git
16/04/24, 11:18 pm - surajojha03: <Media omitted>
16/04/24, 11:28 pm - surajojha03: https://docs.google.com/spreadsheets/d/1mt3v0U2SotxlXEZPKOSGt1ksWsg3GOay0tkwIKMxyWI/edit#gid=658041011
16/04/24, 11:29 pm - surajojha03: https://github.com/suz03/Forecasting-the-female-births.g
17/04/24, 12:00 am - surajojha03: <Media omitted>
17/04/24, 11:06 pm - surajojha03: <Media omitted>
28/04/24, 8:00 pm - surajojha03: import numpy as np import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer from keras.preprocessing.text import Tokenizer from keras.utils import pad_sequences
from keras.models import Sequential from keras.layers import Dense, Embedding, LSTM, SpatialDropout1D from sklearn.model_selection import train_test_split from tensorflow.keras import utils import re
05/05/24, 11:49 pm - surajojha03: Hello [Sender's Name],
Thank you for reaching out. I wanted to express my continued interest in the [specific position] at Skynet E-Solution Pvt Ltd. I'm enthusiastic about the opportunity to contribute to your team and am eager to learn more about the next steps in the hiring process.
Best regards,
[Your Name]"
14/05/24, 11:27 pm - surajojha03: <Media omitted>
21/05/24, 11:55 pm - surajojha03: <Media omitted>
21/05/24, 11:55 pm - surajojha03: https://zipextractor.app/
21/05/24, 11:56 pm - surajojha03: <Media omitted>
21/05/24, 11:56 pm - surajojha03: <Media omitted>
24/05/24, 12:32 am - surajojha03: <Media omitted>
29/05/24, 3:39 pm - surajojha03: Write a program to accept percentage from the user and display the grade according to the following criteria:
Marks
> 90
> 80 and <= 90
>= 60 and <= 80
below 60
Grade
A
B
C
D
11/06/24, 1:19 am - surajojha03: <Media omitted>
12/06/24, 12:10 am - surajojha03: <Media omitted>
14/06/24, 9:13 pm - surajojha03: https://app.soulhq.ai/?campus=Python-Developer-LinkedIn
15/06/24, 1:56 am - surajojha03: <Media omitted>
15/06/24, 1:56 am - surajojha03: <Media omitted>
15/06/24, 1:56 am - surajojha03: <Media omitted>
15/06/24, 1:56 am - surajojha03: <Media omitted>
17/06/24, 11:58 pm - surajojha03: https://drive.google.com/drive/folders/1VF06Lj80Mrr9RMlJqJ6hrFi_NuZJ8xyp
18/06/24, 12:12 am - surajojha03: <Media omitted>
18/06/24, 12:12 am - surajojha03: <Media omitted>
18/06/24, 12:12 am - surajojha03: <Media omitted>
18/06/24, 12:12 am - surajojha03: <Media omitted>
18/06/24, 12:12 am - surajojha03: <Media omitted>
18/06/24, 12:12 am - surajojha03: <Media omitted>
20/06/24, 11:46 pm - surajojha03: <Media omitted>
21/06/24, 12:18 am - surajojha03: Counting Organizations
21/06/24, 12:19 am - surajojha03: Project Description:
Developed a Python script to analyze mailbox data (mbox.txt) and count the number of email messages per organization.
Utilized SQLite database to store and manage domain counts.
Implemented data cleaning logic to extract domain names from email addresses.
Produced formatted output displaying the counts of email messages per organization.
21/06/24, 12:21 am - surajojha03: Project Description:
Developed a Python script to analyze mailbox data (mbox.txt) and count the number of email messages per organization.
Utilized SQLite database to store and manage domain counts.
Implemented data cleaning logic to extract domain names from email addresses.
Produced formatted output displaying the counts of email messages per organization.
Technologies Used:
Python, SQLite, Data Parsing, SQL Queries
Achievements:
Successfully parsed and processed email data, handling potential edge cases and errors.
Implemented efficient database operations to manage and retrieve domain counts.
Demonstrated proficiency in SQL and database management for data analysis purposes.
Skills Demonstrated
Programming Languages: Python
Database Management: SQLite
Data Processing: Parsing, Cleaning, SQL Queries
Problem Solving: Handling edge cases in data parsing and database operations
21/06/24, 12:28 am - surajojha03: <Media omitted>
21/06/24, 12:49 am - surajojha03: https://github.com/suz03/tatistical-Analysis-and-Data-Manipulation.git
21/06/24, 2:36 pm - surajojha03: https://app.soulhq.ai/?campus=data-analyst
21/06/24, 11:53 pm - surajojha03: Whatsapp Chat Analysis Project File LInk- https://drive.google.com/drive/folders/1v9GbHo7Y0WNumCE0f_h_Vj1GFWIVsqt3
Customer Segmentation:
https://drive.google.com/drive/folders/1duvl32-1A-WTD8hJtV7XBx-48TZ-1WBh?usp=drive_link