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Флаг INDIA
kolkata, india
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Ritesh S.

@riteshsingh545

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$15 USD / час
Флаг INDIA
kolkata, india
$15 USD / час
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Data Scientist

Presently working in one of the leading IT organizations and had a 4 years of experience overall. Proficient in handling sql query, python programming, data visualization and Microsoft Office . Had a prior experience in ETL (extractions, transformation and loading) tools like ODI . Presently working in field of Data Science and pursued PG from Mc. Combs School of Business, UT of Texas at Austin. Excellent in cleaning the Data for further processing, Data Visualization, Data Mining using K-Means, CART, Hierarchical Clustering, etc. Typing speed is excellent as well. A man with integrity and if I am placing a bid for a certain job be assure that I will going to complete it in a most wonderful manner as possible.
Freelancer Python Developers India

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Элементы портфолио

Objective- Created forecast models for two different products of a particular Wine Estate & recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower & upper confidence limits. 
 
Tools Used/Techniques - EDA for Time Series Data, Exponential Smoothing Models, ARIMA/SARIMA, Moving Average Models.
Built a model to Forecast monthly sales of Wine for certain
Objective- Created forecast models for two different products of a particular Wine Estate & recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower & upper confidence limits. 
 
Tools Used/Techniques - EDA for Time Series Data, Exponential Smoothing Models, ARIMA/SARIMA, Moving Average Models.
Built a model to Forecast monthly sales of Wine for certain
Objective- Created forecast models for two different products of a particular Wine Estate & recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower & upper confidence limits. 
 
Tools Used/Techniques - EDA for Time Series Data, Exponential Smoothing Models, ARIMA/SARIMA, Moving Average Models.
Built a model to Forecast monthly sales of Wine for certain
Objective- Created forecast models for two different products of a particular Wine Estate & recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower & upper confidence limits. 
 
Tools Used/Techniques - EDA for Time Series Data, Exponential Smoothing Models, ARIMA/SARIMA, Moving Average Models.
Built a model to Forecast monthly sales of Wine for certain
Objective - Project involved conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a coffee chain restaurant can increase its revenue by either taking off certain items from the menu or coming up with popular combo meals for customers. 

Result - A 30% increase in sales were observed after  giving the proper recommendation

Tools Used /Techniques – Market Basket Analysis, RFM Analysis, Churn Analysis
Recommending ways to increase revenue of a Coffee Chain
Objective - Project involved conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a coffee chain restaurant can increase its revenue by either taking off certain items from the menu or coming up with popular combo meals for customers. 

Result - A 30% increase in sales were observed after  giving the proper recommendation

Tools Used /Techniques – Market Basket Analysis, RFM Analysis, Churn Analysis
Recommending ways to increase revenue of a Coffee Chain
Objective - Project involved conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a coffee chain restaurant can increase its revenue by either taking off certain items from the menu or coming up with popular combo meals for customers. 

Result - A 30% increase in sales were observed after  giving the proper recommendation

Tools Used /Techniques – Market Basket Analysis, RFM Analysis, Churn Analysis
Recommending ways to increase revenue of a Coffee Chain
Objective - Project involved conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a coffee chain restaurant can increase its revenue by either taking off certain items from the menu or coming up with popular combo meals for customers. 

Result - A 30% increase in sales were observed after  giving the proper recommendation

Tools Used /Techniques – Market Basket Analysis, RFM Analysis, Churn Analysis
Recommending ways to increase revenue of a Coffee Chain
Objective – Predicted whether the loan is going to foreclose by the NBFC. Foreclosure is a legal process in which NBFC’s tries to recover the loan by selling collaterals

Outcome –Used EDA and various ML techniques to predict foreclosure beforehand. Deployed the model using flask on Heroku as well. Project screenshot and link has been attached as well. Screenshot is taken from the development phase

Link --> https://nbfc-foreclosure.herokuapp.com/NBFC
 
Techniques used- Flask, Heroku, SVM, KNN, Naive Bayes, Ensemble Techniques, Logistic Regression, and Linear Discriminant Analysis.  
Tools Used – Jupyter, Python
NBFC Foreclosure
Objective- Give an insights based on the large chunks of data available with big organizations using Tableau.  
Outcomes- Compared various attributes from the dataset and build a story to let client understand the user’s behavior and their preferences. Below is the link to actual story board   
TABLEAU Link- 
https://public.tableau.com/profile/ritesh4795#!/vizhome/Car_Claims_InsuranceProject/Story1
Visualizing Insurance Claims using Tableau
Objective- Give an insights based on the large chunks of data available with big organizations using Tableau.  
Outcomes- Compared various attributes from the dataset and build a story to let client understand the user’s behavior and their preferences. Below is the link to actual story board   
TABLEAU Link- 
https://public.tableau.com/profile/ritesh4795#!/vizhome/Car_Claims_InsuranceProject/Story1
Visualizing Insurance Claims using Tableau

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Опыт работы

Data Scientist

TCS
окт. 2016 - Настоящее время
Data Analyst having 4 years of experience in IT sector. Presently working as Data Scientist and pursued PGP in Data Science and Business Analytics as well. Experienced programmer in SQL and Python with a hands-on experience on wide range of machine learning models , Data Visualization, ELT/ETL architecture .Strong analytical, communication and problem solving skills. Love to learn new things and help businesses in deriving insights from the data they have gathered.

Образование

PGP in Data Science and Business Analytics

The University of Texas at Austin, United States 2019 - 2020
(1 год)

Bachelors in Technology

Maulana Abul Kalam Azad University of Technology and West Bengal State Council of Technical & Vocational Education and Skill Development, India 2012 - 2016
(4 года)

Квалификация

Post Graduate Program in Data Science and Business Analytics

Great Lakes Executive Learning
2019
Successfully completed 1 year PGP program in DSBA and secured 92 percent .

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