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Jagannath S.

@Krishnaabhi143

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Content writing || SEO || copy writing || PDF ||

$12 USD / ora
・
Bandiera:
India (3:21 PM)
・
Si è unito il agosto 5, 2024
$12 USD / ora
・
I am Jagannath Sethi, a seasoned specialist in 1.graphic design, 2.e-commerce, [login to view URL] analysis& data analytics and content writing. With over 4 years of hands-on experience, I also expert in Excel , MS Word, PDF management, data entry, video editing, image background removal, retyping, and logo design. My commitment to quality drives me to deliver exceptional results on every project, ensuring that your vision is realized with precision and creativity. I prioritize your success over cost, dedicating myself to achieving outstanding outcomes that exceed expectations. I prioritize delivering exceptional results over price . Let's create something extraordinary together. Regards, Jagannath Sethi
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Portfolio

Portfolio

12161042
Problem Definition: Identifying a specific question or challenge. Data Collection: Gathering relevant data from various sources. Data Cleaning: Preparing the data by removing errors, inconsistencies, or missing values. Exploratory Data Analysis (EDA): Analyzing the data to understand its characteristics and patterns. Modeling: Applying statistical or machine learning techniques to build predictive models. Evaluation: Assessing the model's performance using appropriate metrics. Deployment: Implementing the model into a production environment. Examples of data science projects include: Predicting customer churn: Identifying customers likely to stop using a service. Recommender systems: Suggesting products or content based on user preferences. Fraud detection: Identifying fraudulent activities in financial transactions. Image recognition: Classifying images into different categories. Natural language processing: Analyzing and understanding text data.
DATA SCIENCE FOUNDATION
12161023
Problem Definition: Identifying a specific question or challenge. Data Collection: Gathering relevant data from various sources. Data Cleaning: Preparing the data by removing errors, inconsistencies, or missing values. Exploratory Data Analysis (EDA): Analyzing the data to understand its characteristics and patterns. Modeling: Applying statistical or machine learning techniques to build predictive models. Evaluation: Assessing the model's performance using appropriate metrics. Deployment: Implementing the model into a production environment. Examples of data science projects include: Predicting customer churn: Identifying customers likely to stop using a service. Recommender systems: Suggesting products or content based on user preferences. Fraud detection: Identifying fraudulent activities in financial transactions. Image recognition: Classifying images into different categories. Natural language processing: Analyzing and understanding text data.
DATA SCIENCE PROJECT
12111606
I GOT 10 PAGES WORK FROM UAS BASED CLIENT . I CHARGED100 USD FOR THAT WORK . THE CLIENT IS EXTREMELY HAPPY WITH MY WORK .
MY LAST WORK
12161042
Problem Definition: Identifying a specific question or challenge. Data Collection: Gathering relevant data from various sources. Data Cleaning: Preparing the data by removing errors, inconsistencies, or missing values. Exploratory Data Analysis (EDA): Analyzing the data to understand its characteristics and patterns. Modeling: Applying statistical or machine learning techniques to build predictive models. Evaluation: Assessing the model's performance using appropriate metrics. Deployment: Implementing the model into a production environment. Examples of data science projects include: Predicting customer churn: Identifying customers likely to stop using a service. Recommender systems: Suggesting products or content based on user preferences. Fraud detection: Identifying fraudulent activities in financial transactions. Image recognition: Classifying images into different categories. Natural language processing: Analyzing and understanding text data.
DATA SCIENCE FOUNDATION
12161023
Problem Definition: Identifying a specific question or challenge. Data Collection: Gathering relevant data from various sources. Data Cleaning: Preparing the data by removing errors, inconsistencies, or missing values. Exploratory Data Analysis (EDA): Analyzing the data to understand its characteristics and patterns. Modeling: Applying statistical or machine learning techniques to build predictive models. Evaluation: Assessing the model's performance using appropriate metrics. Deployment: Implementing the model into a production environment. Examples of data science projects include: Predicting customer churn: Identifying customers likely to stop using a service. Recommender systems: Suggesting products or content based on user preferences. Fraud detection: Identifying fraudulent activities in financial transactions. Image recognition: Classifying images into different categories. Natural language processing: Analyzing and understanding text data.
DATA SCIENCE PROJECT
12111606
I GOT 10 PAGES WORK FROM UAS BASED CLIENT . I CHARGED100 USD FOR THAT WORK . THE CLIENT IS EXTREMELY HAPPY WITH MY WORK .
MY LAST WORK
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Esperienza
Experience
giu, 2021 - Attualmente
•
3 anni, 7 mesi
Infos
giu, 2021 - Attualmente
•
3 anni, 7 mesi
I am Jagannath Sethi . I am a specialist in graphic design, e-commerce, market. ms word , excel , pdf , data entry, retype , logo design , data analytics expert . I have 3year experience. My thought is , price doesn't matter but result is more important. I will try my level best to complete the project and gives you better results .
Bandiera:
Bhubaneswar , India
giu, 2021 - Attualmente
•
3 anni, 7 mesi
Istruzione
Utkal University
2013 - 2016
•
3 anni
BSC
Bandiera:
India
2013 - 2016
•
3 anni
Certificazioni
C , c++ , M.S. Package, tally , dtp
2013
NIAT , india
Expert in translating, data entry , logo design, background image remover, retype
2013
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