Motivated Data Scientist with the experience of 3 years in building data driven solutions; with a background of Software development, data profiling, and statistical modeling, willing to learn new technologies, Commendable skills in statistical languages, machine learning. Ability to work in different work environments and provide data-driven solutions.
In e-Com Data Analysis project, we are analyzing the customer behaviours, more frequent
item sales. Analysis reports provide the Customer behaviours like region wise segmentation, day wise & time wise purchase, re-ordering duration and product level reports items which are more frequently sold together by department wise and aisle wise. We used Python libraries called Numpy, Pandas, Matplotlib, and Flask.
Responsibilities:
- Worked on Data exploration and pre-processing activity.
- Automated Association Rule learning process.
- Designed Reports for the historical data.
- Working closely with UI/UX design team to define workflows and user interfaces
- Working closely with project managers, QAs, operation team and business team
- Designed the Endpoint for the Analytical model.
- Handling customer support and production issues.
A Company owns a workforce training management platform named “Learning Management Center". The product currently has multiple databases for various customers. The product also holds various training programs deployed by a Company and their customers. The a proposed solution was to Design and Development of data models Staging/Data Lake, Data warehouse, Data Mart for all databases and feed data from data warehouse to reports and API.
Responsibilities:
- Participate in business analysis activities to gather reporting requirements.
- Translate business requirements into specifications that will be used to implement the required reports and dashboards, created from potentially multiple data sources.
- Developed REST API using AWS Lambda and API Gateway.
- Provide support as required to ensure the availability and performance of developed reports
and dashboards for both external and internal users.
- Working closely with UI/UX design team to define workflows and user interfaces
- Working closely with project managers, developers, QAs, operation team and business team.
- Handling customer support and production issues.
In SearchQ project, we are analyzing and categorizing the customer’s case notes and recommending more relevant solutions to the customer case note. This project will also help out to customer care agent to categories notes; get similar issue & solutions notes to the customers. We used R libraries called data.table, tm, NLP, lsa, SnowballC, topicmodel.
Responsibilities:
- Worked on Data exploration and Text pre-processing activity.
- Implemented Algebraic Model (Vector Space Model) to find similar notes.
- Implemented Probabilistic Model (LDA) to categorized notes.
- Prepared Bag-of-words for the model.
- Designed the Endpoint using PHP.
- Handling customer support and production issues.
In this project, we developed solutions to analyze voice files of the call centre to understand the sentiment of the customer and gather insight into the conversation quality. This project helps to the management teams to provide the better quality of their business support. We Used R libraries like ReadText, tm, e1071, SnowballC, wordcloud.
Responsibilities:
-Worked on Data exploration and Text pre-processing activity.
- Used Bag-of-words to label the conversation.
- Implemented SVM algorithm to predict the new conversation.
- Designed the User Interface using Bootstrap.
- Designed Endpoint using PHP.
- Worked closely with project managers, developers, QAs, operation team and business team.
- Handling customer support and production issues.
Worked with the client (Crime Branch), to provide a user interface solution which used the criminal data and provide the relevant information with less hassle.
Responsibilities:
Sat with the police officer to know existing complexities in the system to track the criminal record
To come up with a solution which is more time and cost efficient
Contributions & Implementation
Designed a UI which retrieve the information based on the given image, Using Watson image processing service to retrieve user information from the database
Developed the PHP application and integrate with IBM Watson services.
Tools and Environments :
Python, Watson, PHP, MySQL
In this project, we are analyzing the customer inquiries and created a predictive model to rank the pipeline of the opportunities to optimize the effort of sales and marketing team. We used R libraries like data.tables, e1071, ggplot2.
Responsibilities:
- Worked on Data exploration and pre-processing activity.
- Implemented SVM algorithm to predict the new conversation.
- Designed Endpoint using PHP.
- Worked closely with project managers, developers, QAs, operation team and business team.
- Handling customer support and production issues.
Worked with Canadian client to build Multi Comment, A Multi Language Feed Back Web Application.
Responsibilities:
Understanding the feedback system of the client
Designing the new feedback system which can enhance customer retention rate
Contributions:
Developed User Interface which categorized the customer feedback in positive or negative category
Developed Simple to complex End point for integration.
Environment:
R, PHP,MySQL, Android