Pritam Priya

PRITAM PRIYA DATA SCIENTIST Mobile: +91 - E-Mail:- Expertise in the application of R and Python with nurtured in intelligent implementation of various statistical and predictive modelling techniques in the field of Banking and customer analytics. In addition to strong technical skills, I have attained a very good management experience in strategic planning, client handling, project execution and delivery. PROFESSIONAL SUMMARY Worked on Bank Marketing and Finance (BFSI – Basel & Cards) domains. Experience in SQL queries.. Working knowledge on structured data. Having a passion of creating actionable customer insights, that can drive marketing and business strategies. Involved in customer satisfaction, feasibility and tracking studies in Bank Research domain Developing report dashboards using Shiny in R Experience in data extraction from different servers into R environment. Developing and maintaining documentation to describe program stages, logic, coding and validation. PROFESSIONAL EXPERIENCE Organization # 1: Capgemini India Pvt. Ltd, Bangalore Data Scientist(Aug.2017 – till date) Roles & Responsibilities: Analysing and forecasting the data, come up with Insights and recommendations for the business. Involving in the development of R code, statistical/business model and its documentation. Identifying the relationships between multiple variables and using patterns in past data to shape insights. Data collection from various sources and validating the extracted data in view of continuous and categorical variables, along with checking for outliers and missing values.  Testing and validating the models on different.  Projects (Banking Research domain): Loan Prediction Credit Card Status Prediction EDA and Glm for Banking Dataset Roles & Responsibilities: Research on Information Extraction Engines Extract insights from mails, chat conversations, comments (unstructured TECHNICAL SKILLS Packages:MS Office R : Caret, DataExplorer, rpart,party, dplyr. ggplot2... STATISTICAL SKILLS Qualitative Analysis (Rating scales) Sampling Techniques (Random and Non-Random) Descriptive Statistics Correlation Analysis Regression Analysis (Simple/Multiple/Logistic) Cluster Analysis Factor Analysis Discriminate Analysis EDUCATION QUALIFICATION B.Tech from Konark Institute Of Science And Technology Bhubneswar, Odisha in- with 7.15 CGPA. CERTIFICATIONS “Core Java” and “C”.