Freelancer logo
How It Works
Browse Jobs
Log In
Sign Up
Post a Project
EXPLORE
Big Data Sales
Data Mining
Hadoop
Java
Python
You're now following .
Error following user.
This user does not allow users to follow them.
You are already following this user.
Your membership plan only allows 0 follows. Upgrade
here.
Successfully unfollowed user.
Error unfollowing user.
You have successfully recommended
Error recommending user.
Email successfully verified.
User Avatar
$35 USD / hour
Flag of INFlag of IN
saharanpur,
india
$35 USD / hour
It's currently 12:08 AM here
Joined November 4, 2012
3 Recommendations

Mohd T.

@tausy

monthly-level-four.svg
5.0
(101 reviews)
5.0
(101 reviews)
6.3
6.3
$35 USD / hour
Flag of INFlag of IN
saharanpur,
india
$35 USD / hour
96%
Jobs Completed
78%
On Budget
97%
On Time
17%
Repeat Hire Rate

ML, AI, Data Science, Python, Hadoop, Databases

- Data Scientist with over 7 years of industry experience, knowledge and understanding of Machine Learning, Data Analysis, Big Data/Hadoop, ETL, and Databases. - I hold a Master's degree in Data Science from Trinity College Dublin and a Bachelor's degree in Computer Science. - Currently, working as a data scientist with one of the world's largest banking and financial firm. - Solid understanding and expertise in analyzing and maintaining large datasets. - Honed my skills in Data Ingestion, Data Analysis, Data Migration, Data Consolidation, Data Processing, Data Visualization, and Data Mining. - In my 7 years of career, I worked primarily on Predictive Modeling, Machine Learning, and Hadoop to deliver cutting-edge predictive models in Healthcare, Aviation, and Financial sectors. - Extensive experience in building machine learning applications using Python and its ML stack libraries including NumPy, Pandas, Scikit-Learn, Matplotlib, etc. - Development and implementation experience of building data analytics pipelines and ML systems using PySpark on big data. - Worked extensively on Big Data and Hadoop stack tools including but not limited to Sqoop, Flume, Oozie, Hive, Impala, HDFS, and Map Reduce. - Worked on numerous projects of SQL, PL/SQL, ETL, Informatica, SSIS, and Informatica DIH for years. - Proficient in Java, and Python programming languages. Also, work on R statistical language. - Current areas of interest include Data Science, Data Analytics, Machine Learning, Predictive Modeling, Knowledge Discovery from Databases(KDD), Data Mining, Web Mining, and Information Retrieval.
Freelancer
Python Developers
India

Contact Mohd T. about your job

Log in to discuss any details over chat.

Portfolio Items

The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
The information age has led to information overload. A simple Google search for - apple renders almost 55,50,00,000 results ranging from all walks of life. The problem is compounded by the fact that even if a relevant page is encountered the amount of textual data present in a single page can be quite overwhelming. Further increasing the complexity, if the time is limited, reading the entire document becomes very difficult. Even skimming is difficult as there can be a problem of loss of context. And many times we find ourselves in need of only the gist or summary of articles that we read. 
This system does exactly this, whatever you are reading online, if it is more than you can handle, simply paste the URL/text into the application, and you will get only a few sentences as the summary of the entire article. A simple and easy-to-use application making your reading experiences on the web a more productive one.
SumGen - A Webpage Summary Generator
Created this utility to split the excel files with custom logic provided by the client. The utility is built using Java tech stack including UI and delivered as an executable jar file which could be invoked by double-clicking on it.
Custom Java Excel Splitter Utility
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning
Created and successfully delivered Loan Defaulter Prediction System which leverages the power of Machine learning models(supervised) and tries to predict whether a particular loan will default or not. As part of this project, I have handled the class im-balance problem, compared the performance of various machine learning supervised models including Logistic Regression, Support Vector Machines(SVM), Decision trees, and Random Forests. Also, utilized the 10-fold cross-validation strategy to avoid the problems of underfitting/overfitting of the model. Finally, hyperparameter tuning has been done to fine-tune the performance of the selected model.
Loan DefaulterPrediction System using Machine Learning

Reviews

Changes saved
Showing 1 - 5 out of 50+ reviews
Filter reviews by: 5.0
$170.00 AUD
Highly recommended, used Mohd multiple times. Great communication, thank you Mohd
Java
Python
Data Mining
Hire me
Big Data Sales
Hadoop
User Avatar
Flag of AU Python C. @pythoncoder232
6 days ago
5.0
$350.00 USD
Done excellent job, delivered the quality project on time. will hire him again
Java
Python
Data Mining
Hire me
Big Data Sales
Hadoop
P
Flag of US Piyush A. @pa2224
29 days ago
5.0
£275.00 GBP
I am very satisfied with the work that Mohd. has done. He delivered a great work, on budget and on time. He provided a high quality work, and I will definitely hire him again in future! I totally reccommend him! Do not hesitate to ask for his services. Very communicative too. He always replies at any time and he is polite. Thank you very much! I appreciate your help!
Python
Data Processing
Tableau
Coding
User Avatar
Flag of GB Marius Costin P. @mariuspopa04
1 month ago
5.0
$200.00 USD
Great Analysis and very professional.
Python
SQL
Business Analysis
R Programming Language
Data Analytics
C
Flag of US Tejaswini C. @ckian0619
2 months ago
5.0
€100.00 EUR
Really helpful and clear about what they are doing
Java
Python
Data Mining
Hire me
Big Data Sales
Hadoop
User Avatar
Flag of IE Sandeep C. @sanchs
2 months ago

Experience

Data Scientist

Citibank Europe
Dec 2019 - Present
Working as a data scientist in AI/ML team.

Hadoop/Machine Learning Developer

Opera Solutions
Sep 2017 - Present
Working on Hadoop Ecosystem in combination with python/machine learning to deliver predictive models.

Hadoop Developer

Tata Global Delivery Center SA, Montevideo, Uruguay, SA
Apr 2016 - Aug 2017 (1 year, 4 months)
Worked on Hadoop ecosystem to deliver cutting edge predictive models using Sqoop, Flume, Oozie, Hive, Map Reduce

Education

MSc Data Science

Trinity College, Dublin, Ireland 2018 - 2019
(1 year)

Bachelor Of Technology (Computer Engineering)

Jamia Millia Islamia, India 2009 - 2013
(4 years)

Qualifications

Certificate in Healthcare

Tata Business Domain Academy
2014

Oracle Database Certified SQL Expert

Oracle University
2015
SQL proficiency test certificate provided by Oracle

Oracle Database Certified PL/SQL Expert

Oracle University
2015
Pl/SQL proficiency test certificate provided by Oracle

Contact Mohd T. about your job

Log in to discuss any details over chat.

Verifications

Preferred Freelancer
Identity Verified
Payment Verified
Phone Verified
Email Verified
Facebook Connected

Certifications

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 92% SQL_1.png SQL 1 90% java_1.png Java 1 87% SQL_2.png SQL 2 85% python-1.png Python 1 80%

Top Skills

Python
69
Java
56
Big Data Sales
43
Data Mining
38
Hadoop
37

Browse Similar Freelancers

Python Developers in India
Python Developers
Java Developers
Big Data Salespeople

Browse Similar Showcases

Python
Java
Big Data Sales
Data Mining
Previous User
Next User
Invite sent successfully!
Freelancer logo
US (International) / English
Help & Support
Freelancer
Categories
Projects
Contests
Freelancers
Enterprise
Preferred Freelancer Program
Project Management
Local Jobs
Photo Anywhere
Showcase
API for Developers
Get Verified
About
About us
How it Works
Security
Investor
Sitemap
Quotes
News
Terms
Privacy Policy
Terms and Conditions
Copyright Policy
Code of Conduct
Fees and Charges
Apps
Apple App Store logo
Google Play logo
Copy to clipboard failed, please refresh this page to adjust your permission.
Copied to clipboard.
Registered Users Total Jobs Posted
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 141 959 042)
Copyright © 2021 Freelancer Technology Pty Limited (ACN 141 959 042)
There is no internet connection