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Abhishek K.

@abhishekk2048

5,0
6
1,6
1,6
100%

Data Analyst with a mix of tech & people skills

$10 USD / hora
・
Bandera de
India (12:14 p. m.)
・
Se unió el febrero 8, 2024
$10 USD / hora
・
Graduated from Indian Institute of Technology, Guwahati. Worked 10+ years in the government sector. Data has played a pivotal role in each of my work profiles and being fascinated by it, I trained as a data analyst. I hope to utilize my new found data skills blended with my people skills acquired in the government sector to bring new insights to this role.
Verificaciones
A tiempo
100 %
Dentro del presupuesto
100 %
Aceptar tarifa
100 %
Tasa de recontratación
50 %
Freelancer Data Analytics Experts India
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Portafolio

Portafolio

12156122
The project involved classifying the UC Merced Dataset using the vision transformer model. The dataset contained 2100 satellite images classified into 21 classes of 100 images each. The model achieved accuracy figures of 75% and Recall of 78%.
Image Classification using Vision Transformer
The project involved classifying the UC Merced Dataset using the vision transformer model. The dataset contained 2100 satellite images classified into 21 classes of 100 images each. The model achieved accuracy figures of 75% and Recall of 78%.
Image Classification using Vision Transformer
11996051
The project involved creating a CNN model for classifying images of cats and dogs into their respective types. The model was trained on a Dataset of 7000 images, validated using a dataset of 1000 images and tested on 2000 images. The model accuracy was around 84.5% on test dataset.
Image Classification using Convolutional Neural Network
The project involved creating a CNN model for classifying images of cats and dogs into their respective types. The model was trained on a Dataset of 7000 images, validated using a dataset of 1000 images and tested on 2000 images. The model accuracy was around 84.5% on test dataset.
Image Classification using Convolutional Neural Network
11994642
The project involved predicting the trend of Google Stock Price in the month of January based on 5 year price history from 2012 to 2016. LSTM layers along with dense layers were used in the model
Stock Price Prediction using Recurrent Neural Network
11994636
The project involves Churn Prediction rate of customers in a Bank. The data was trained on a dataset contains variables like Credit Score, Geography, Gender, Age, Tenure, Balance and others which were related to Churn of customers. The training dataset contained 8000 observations and was validated on a dataset of 1600 observations. On a test dataset of 400 observations the model shows an accuracy of 87.5%.
Churn Prediction Model using Artificial Neural Network (ANN)
The project involves Churn Prediction rate of customers in a Bank. The data was trained on a dataset contains variables like Credit Score, Geography, Gender, Age, Tenure, Balance and others which were related to Churn of customers. The training dataset contained 8000 observations and was validated on a dataset of 1600 observations. On a test dataset of 400 observations the model shows an accuracy of 87.5%.
Churn Prediction Model using Artificial Neural Network (ANN)
11899927
California Housing Project
11823703
A/B Hypothesis Testing based on payment mode of taxi service
12156122
The project involved classifying the UC Merced Dataset using the vision transformer model. The dataset contained 2100 satellite images classified into 21 classes of 100 images each. The model achieved accuracy figures of 75% and Recall of 78%.
Image Classification using Vision Transformer
The project involved classifying the UC Merced Dataset using the vision transformer model. The dataset contained 2100 satellite images classified into 21 classes of 100 images each. The model achieved accuracy figures of 75% and Recall of 78%.
Image Classification using Vision Transformer
11996051
The project involved creating a CNN model for classifying images of cats and dogs into their respective types. The model was trained on a Dataset of 7000 images, validated using a dataset of 1000 images and tested on 2000 images. The model accuracy was around 84.5% on test dataset.
Image Classification using Convolutional Neural Network
The project involved creating a CNN model for classifying images of cats and dogs into their respective types. The model was trained on a Dataset of 7000 images, validated using a dataset of 1000 images and tested on 2000 images. The model accuracy was around 84.5% on test dataset.
Image Classification using Convolutional Neural Network
11994642
The project involved predicting the trend of Google Stock Price in the month of January based on 5 year price history from 2012 to 2016. LSTM layers along with dense layers were used in the model
Stock Price Prediction using Recurrent Neural Network
11994636
The project involves Churn Prediction rate of customers in a Bank. The data was trained on a dataset contains variables like Credit Score, Geography, Gender, Age, Tenure, Balance and others which were related to Churn of customers. The training dataset contained 8000 observations and was validated on a dataset of 1600 observations. On a test dataset of 400 observations the model shows an accuracy of 87.5%.
Churn Prediction Model using Artificial Neural Network (ANN)
The project involves Churn Prediction rate of customers in a Bank. The data was trained on a dataset contains variables like Credit Score, Geography, Gender, Age, Tenure, Balance and others which were related to Churn of customers. The training dataset contained 8000 observations and was validated on a dataset of 1600 observations. On a test dataset of 400 observations the model shows an accuracy of 87.5%.
Churn Prediction Model using Artificial Neural Network (ANN)
11899927
California Housing Project
11823703
A/B Hypothesis Testing based on payment mode of taxi service
Cambios guardados
5.0 · 6 Reviews
Opiniones
S
Project for Abhishek K. • $20 CAD
Amazing work as always!
S S.
@ss11211
•
Bandera de
St. John's, Canada
•
hace 6 meses
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Project for Abhishek K. -- 4 • $20 CAD
Amazing work by Abhishek as always!!
Closed User
@aaron1121
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hace 10 meses
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Project for Abhishek K. -- 3 • $10 CAD
Amazing work like always!!
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hace 10 meses
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A
Project for Abhishek K. -- 2 • $15 CAD
Amazing work again!!
Closed User
@aaron1121
•
Bandera de
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•
hace 11 meses
Compartir
A
Project for Abhishek K. • $15 CAD
Amazing work, on time!!
Closed User
@aaron1121
•
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•
hace 11 meses
Compartir
Experiencia
Freelance Data Analyst
jun, 2023 - Presente
•
1 año, 6 meses
Freelancer
jun, 2023 - Presente
•
1 año, 6 meses
I have been working as well as constantly updating my skill set over the past year or so and along with that I have worked on diverse projects for several clients in areas like data visualization using matplotlib in python, Machine Learning, Deep Learning etc.
Bandera de
Patna, India
jun, 2023 - Presente
•
1 año, 6 meses
Sub Registrar
feb, 2020 - Presente
•
4 años, 11 meses
Government of Bihar
feb, 2020 - Presente
•
4 años, 11 meses
Primary work responsibilities involve analyzing the data relating to trends of transactions of property (land and others) and their valuations and drawing insights from the same to maximize the collection of revenue (stamp duty) for the government.The job also involves Public Relations, Problem Solving, Decision Making, Office Administration, Leadership and Team Building.
feb, 2020 - Presente
•
4 años, 11 meses
Auditor
may, 2016 - feb, 2020
•
3 años, 9 meses
Controller General of Defence Accounts
may, 2016 - feb, 2020
•
3 años, 9 meses
Work responsibilities involved database management of employees and clients of the organization using PostgresQL.
may, 2016 - feb, 2020
•
3 años, 9 meses
Educación
Indian Institute of Technology, Guwahati
2006 - 2010
•
4 años
B. Tech
Bandera de
India
2006 - 2010
•
4 años
Calificaciones
Natural Language Processing with Python
2024
Udemy
The course covered topics in NLP like tokenization, lemmatization, Pos tagging, NER, Topic Modelling, use of SPACY and NLTK
2024
Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize
2024
Udemy
Course included topics like Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Boltzmann Machines and Auto Encoders
2024
Google Advanced Data Analysis professional certificate
2023
Google
The course involved knowledge and practical work experience in Python, Advanced Tableau, Probability, Statistics, Hypothesis Testing ( One and two tailed tests, T-test, Z-test, A/B testing, Chi square test), Regression Analysis (Simple and Multiple Linear Regression, Logistic Regression) and Machine Learning( Supervised models- Naive Bayes model, Decision Tree, Random Forest and Gradient Boosting, Unsupervised models- K means clustering)
2023
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