Sumit Kumar has over 2 years of experience in financial research and analytics. He currently works as a Data Researcher II at S&P Capital IQ, where he performs tasks like data mining, predictive modeling, customer segmentation, and report generation using SAS, R, SQL, and Excel. He has expertise in statistical techniques like regression analysis, time series forecasting, and clustering. Previously he worked as a Research Associate at S&P Capital IQ, where he performed financial research and data ingestion. He has an MBA in Finance and is proficient in SAS programming.

1. Mobile: +91-9990201333
E-Mail: sumitkumar2389@gmail.com SUMIT KUMAR
Executive Summary
ÿ A budding professional with 2.11 years of experience in Financial Research and Analytics.
ÿ Currently working with S&P Capital IQ, as Data Researcher II.
ÿ Hands on experience in Multivariate analytical techniques such as Regression Modeling, Cluster
Analysis, Factor Analysis, Time Series Forecasting- ARIMA etc., in conjunction with analytics
platforms like SAS, R, SQL, and Advanced Excel.
ÿ Have excellent problem-solving, analytical and technical troubleshooting skills and committed to
seeking and creating quality improvements to existing processes.
Area of Proficiency
Software Tools Statistical Techniques Areas of Expertise
SAS(Base and Proc SQL), R,
SQL and Advanced Excel
Segmentation(Cluster & Factor
analysis), Regression
Analysis(Linear and Logistic),
Time series Analysis (ARIMA etc.)
and Hypothesis Testing
Business Analytics, Predictive
Modelling, and Financial Analytics,
behavioral segmentation , churn
prediction, sales analytics. etc
ORGANIZATIONAL EXPERIENCE
April’16 – Till Date S&P Capital IQ
Role: - Data Researcher II
ÿ Data Mining and Data Clean up reports for BECRS product.
ÿ Data Manipulation, Data Analysis and Reporting of reports from various vendors.
ÿ Regression based Predictive Modeling.
ÿ Customer segmentation Profiling.
ÿ Work on data Logic to identify discrepancy and send to research team for short term project.
ÿ Create working templates for short – term projects.
ÿ Keeping track of the new functionalities being developed for other collection teams and its possible
effect on the team’s workflow.
ÿ Identifying production tool performance issues (bugs) and suggesting enhancements.
ÿ Testing for existing and new tool functionalities for improvement and efficiency.
ÿ Contemplating on new tool requirements for ingesting new data and coordinating with developers
on the requirements and interface.
Oct’13- Till: March’16 S&P Capital IQ
Role: - Research Associate
ÿ Perform Primary and Secondary research of Companies and its competitor, management etc.
ÿ Ingesting symbols of BECRS such as LEI, ISIN, CUSIP, Ratings, D&B etc
ÿ Integrating and verifying financials of companies.
ÿ Part of the Company Release Testing group.
ÿ Preparing data analysis reports studying different datasets and financial symbols.
ÿ Data mining and clean up of reports.
ÿ Developing SAS based reports.

2. Professional Training From AnalytixLabs
ÿ Proficient in SAS programming and Excel for data analysis. Also worked on PROC SQL and R for
data management & exploratory analysis.
ÿ Leveraging Advanced SAS (Proc SQL) for data management & exploratory analysis.
Analytics Projects handled:-
1. Customer segmentation for a credit card company to define marketing strategy for each
segment
∑ Advanced Data Preparation - Built an enriched customer profile by deriving KPIs such as
monthly average purchase, cash advance, average transaction per purchase etc.
∑ Clustering – Applied data reduction technique using factor analysis for identifying
important variales.
2. Linear and logistic regression cases-
i) Proactive attrition management for a telecom provider and a bank (loan fraud) to
develop a model for predicting the customers churn in advance .
ii) Understanding the total spend of credit card by a customer and prioritize the drivers
based on the importance.
∑ Data Preparation – Initiated with data cleaning including missing values, outliers and
multi-collinearity.
∑ Developing a model – Used a part of existing data to develop a model using logistic
regression and linear analysis and identified key variables impacting the churn and spend.
∑ Validating the model – Validated the model by applying the identified equation to remaining
set of data. Used deciles analysis and KS scores to set the cut off for churners.
Academic Credentials
2016 Successfully completed a course in data science using R and SAS from Analytixs labs.
2013 MBA (Finance) from Faculty of Management Studies, Banaras Hindu University,
Varanasi with 7.62/10 CGPA.
2011 B.A. (Hons.-Economics) from Delhi University with 54.50%.
2007 12th
(Commerce) from Sunbeam School, CBSE with 76.20%.
2005 10th
from Sunbeam School, CBSE with 72.80%.
Technical Skills
ÿ Certified on Base SAS Programming for SAS 9 with an aggregate of 79%
Extramural Engagements
ÿ Played Chess at National Level in year 2004 and 2006.
ÿ Represented S&P Capital IQ in Sports Fest Khelo in July 2015 and September 2014 and won Gold
in Chess.
ÿ Fund Manager and part of Placement Team.
ÿ Member of organizing committee of BHUMAA Alumni Meet.
ÿ Part of winning team of Spandan Cricket Tournament, FMS BHU.
Personal Dossier
Date of Birth: 23rd July 1990
Address: Q5/11 DLF Phase 2, Gurgaon- 122002
Linguistic Abilities: English and Hindi