+ 91 8142708124 LinkedIn: https://in.linkedin.com/in/atanu-ray-26400472 Personal: [email protected]Official: [email protected]A self-motivated individual with 2.5 years of experience in analytics domain. Extensive knowledge of Data Science Techniques. An efficient, organized and approachable person with sound employable knowledge and skills required to deliver high quality of service and satisfaction. Accuracy, and accountability – Excellent attention to details and well organized. Have ability to understand and prioritize the work in a challenging business environment, thereby is efficient to successfully deliver results. Proficient in grasping new technical concepts and utilizing them in an effective manner. Always take any critical situation as a challenge. Flexible and able to accommodate the expertise to the company needs. Work Experience Company Role & Designation IMRB International , Kolkata Analytics Executive Aug’14 – June’15 Icube Consultancy Service Pvt Ltd , Hyderabad Data Scientist - Solution July ’15 – Feb’16 KARVY Analytics Ltd. , Hyderabad Asst. Manager - Data Scientist Mar’16 - Till Date Currently working with Income Tax Department (Risk Assessment), Government of India SCHOLASTICS Key Responsibilities • Selecting features, building and optimizing classifiers using machine learning techniques • Data mining using different plausible methods • Extending company’s data with third party sources of information when needed • Enhancing data collection procedures to include information that is relevant for building analytic systems • Processing, cleansing, and verifying the integrity of data used for analysis • Doing ad-hoc analysis and presenting results in a clear manner ATANU RAY Permanent : 3/154, Mahajati Nagar, Agarpara, Kolkata-700109, WB, India Present : Delhi
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Official: [email protected] A self-motivated individual with 2.5 years of experience in analytics domain. Extensive knowledge of Data Science Techniques. An efficient, organized and approachable person with sound
employable knowledge and skills required to deliver high quality of service and satisfaction. Accuracy, and accountability – Excellent attention to details and well organized. Have ability to understand and prioritize the work in a challenging business environment, thereby is efficient to
successfully deliver results. Proficient in grasping new technical concepts and utilizing them in an effective manner. Always take any critical situation as a challenge. Flexible and able to accommodate the expertise to the company needs.
Work Experience
Company Role & Designation
IMRB International , Kolkata Analytics Executive Aug’14 – June’15
Icube Consultancy Service Pvt Ltd , Hyderabad Data Scientist - Solution July ’15 – Feb’16
KARVY Analytics Ltd. , Hyderabad Asst. Manager - Data Scientist Mar’16 - Till Date
Currently working with Income Tax Department (Risk Assessment), Government of India
SCHOLASTICS
Key Responsibilities
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using different plausible methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic
systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
ATANU RAY
Permanent : 3/154, Mahajati Nagar, Agarpara, Kolkata-700109, WB, India
Multiple Regression Analysis: Fitting the data for 'Academic Performance Index 2000' for various elementary schools in different districts of California, US and check the goodness of fit. Responsibilities : Data Entry Errors, Missing Values, Outliers, Changes in Variability, Multi Co-Linearity , Heteroscadasticity, Goodness of fit, Unusual (asymmetric) distributions, Influential Observation. Tools Used: R, MINITAB, MS Excel Time Series Analysis & Regression Analysis: Time Series Analysis: 5 years ahead prediction (2012 - 2016) of abortion rates (per 1000 women) (1969 - 2011), England & Wales. Fit the data and check the goodness of fit for given various factors. Responsibilities :: Time Series : Trend Plot, Seasonality, Detrending, Stationarity, Model Selection & building (using acf & pacf plot),Prediction,Exponential Smoothing,Forecast,Inference about the 2 forecasting procedures, Choice of method by training test & forecast accuracy measures. Regression : Outliers, Influential Observations, Normality of residuals, Multi Co-Linearity , Heteroscedasticity , Goodness of fit. Tools Used: R, MINITAB, MS Excel Revenue Optimization – Hospitality Industry
Aim: Optimize the price for booking of rooms in Hotels. Analysis: Demand Curve Formulation depending on price, # rooms left, # rooms to be booked. Solution: Got forecast price value for future bookings and an estimate of the no of rooms that can be booked with that price according to the historical data. Tools Used: R, MS Excel Persistency modeling for life insurance
Aim: Find the pattern for lapsed policies Analysis: Lapsation modeling of customers for Life Insurance Solution: Insights on the patterns for lapsed policies Tools Used: R, MS Excel Risk Modeling for Life Insurance
Aim: Find segments for risk of the customers giving some scores. Analysis: Risk profiling of customers for Life Insurance Solution: Got patterns for risk categories Tools Used: R, MS Excel RFP – Tea Board of India Project
Aim: Find patterns of auction price, production and exports over different areas. Analysis: Forecasting of auction price and Significance Testing for finding relation b/w production and exports Tools Used: R, MS Excel RFP – MP Government Project
Aim: Find patterns of issues and solutions in CMHelpline Service. Analysis: Merging tables from different sources, finding trends of complaints and forecast of number of future
complaints for any particular department. Tools Used: SQL server, R Server, MS Excel Data Integration and analysis – Income Tax (Risk Assessment)
Creating database and report for primary analysis and giving insights from the bank transactions due to
demonetization in India 2016.
Tools Used: R, MS Excel, JMP
Training: Data Mining, Text Mining, Machine Learning, SQL, Python, Minitab, IBM SPSS (Dimension)