Around 7 years experience in data science

Resume posted by asad.taj in Finance.
Desired salary: $1,250,000.00
Desired position type: Any
Location: Delhi Delhi, India

Contact asad.taj


-around seven years of experience in data science space with hands on experience in machine learning, data mining, data science, text analytics, predictive modeling, NLP, and statistical data analysis
-using tools and techniques to solve business critical problems
-completed masters in Industrial Mathematics with Computer Applications
-strong exposure in Computer Science & Mathematics
-looking forward to work in more advanced areas in Data Science, Big Data Analytics and Deep Learning

Specialties: Knowledge Representation, Result Interpretation, Story Telling, Predictive Modeling, Data Exploration, Machine Learning, Data Mining, Text Mining, Natural Language Processing, IBM SPSS Modeler with Text Analytics, STATISTICA, Rapid Miner, R, Python, Weka, H2O, Social Media Analytics, Uber VU, Clarabridge, SQL, Verint Speech Analytics


  • Masters in Science & Technology with major in Mathematics and Computer Science – 2009, Jamia Millia Islamia, New Delhi, India
  • Bachelors in Science with major in Mathematics and Electronics – 2006, Ewing Christian College, Allahabad University, Allahabad, UP, India


Organization FIS Global Business Solutions, Gurugram
Designation Data Scientist
Duration Aug 2013-Present
Work & Responsibilities –         Use of Analytics to improve business processes for banking and telecom clients

–         Showcasing analytical capability to gain new process/business

–         Building strategy for analytics projects

–         Statistics, Data Mining, Text Mining & NLP, Machine Learning, Predictive Modeling, Social Media Analytics, Geo Analytics

–         Data gathering, cleaning, validation, quality, exploratory data analysis, missing value and outlier treatment

–         Modeling (Selection, Training, Validation, Deployment)

–         Creation of data products for analytical services

–         Evaluation & procurement of new technology (Big Data, ML, SMA etc.)

–         Mentoring team members and knowledge sharing

Achievements –         Got team extra miler award for 2014

–         Established social media analytics practice and introduced it for Human Resources for hiring and employee satisfaction

–         Successfully Conducted Big data POC with IBM Big Insights and Formcept (Spark based commercial product)

Organization Sutherland Global Services, Mumbai
Designation Senior Analyst
Duration Sep 2011 –Jul 2013
Work & Responsibilities –         Worked in the Customer Management Analytics space for various clients (Symantec, Activision, Equifax, AT&T, Hughes etc.)

–         Responsible for building data mining algorithms for Customer Segmentation, Cross-Sell/Up-Sell, CSAT prediction

–         Text Mining, NLP (Natural Language Processing) and Dashboard building for CSAT, NPS (Net Promoter Score) survey & customer chat data for variety of industries

–         Social Media Monitoring including competitor analysis

–         Data Management using SQL, R, Excel

–         Gathering high and low level requirements for analytics projects

–         Result presentation and explanation to management & clients

Achievements –         Got Extra Miler award for first quarter of 2013

–         Owned Voice of Customer project for leading antivirus provider with 5.4% improvement in NPS metric

–         Owned Social Media Monitoring and Competitor Analysis project with monthly cycle with high client satisfaction

Organization StatSoft India, New Delhi
Designation Data Mining Consultant
Duration Apr 2010 –Aug 2011
Work & Responsibilities –         Demonstration & Training of various statistical & data mining techniques available in STATISTICA package

–         Assisting Customers on various statistical and data mining methods available for their projects

–         Case study & content development for different domains and clients

–         Proper understanding and implementation of Analytics as per CRISP-DM framework

–         Statistical Techniques- t-tests, ANOVA, Regression (Multiple, Stepwise, Logistic, Cox), Time Series, Principal Component Analysis

–         Data Mining/Machine Learning Techniques- Decision Trees (C&RT, CHAID, C5.0), Cluster Analysis, Artificial Neural Networks,  Association Rule Mining, PMML deployments of DM models

Achievements –         Given the training at CSIR labs and Government Bodies (National Remote Sensing Agency-NRSA, National Institute of Oceanography-NIO, Indian Metrological Department-IMD)

–         Guest lecturer for Business Intelligence class in IMT, Ghaziabad


  • • Concepts: – Statistics, Data Mining, Predictive Modeling, Machine Learning, Feature Engineering, EDA (Exploratory Data Analysis), NLP (Natural Language Processing), Linear Algebra, Graph Theory, Bayesian Networks, Data Visualisation
  • • ML/Data Mining/Statistics Tools: – IBM SPSS Statistics, IBM SPSS Modeler, Dell STATISTICA Data Miner, MINITAB, RapidMiner, Weka, KNIME, sklearn (Python), MATLAB, H2O, Azure ML, Big ML
  • • Text Mining/NLP Tools: IBM SPSS Text Analytics, Statistica Text Miner, Clarabridge, Attensity, GATE, NLTK (Python), tm (R), MeTA
  • • Visualization: – Tableau, ggplot2, googleVis, matplotlib, bokeh, plotly
  • • Languages: – R, Python, SQL, Java, Scala Basics
  • • Big Data: Pig, Hive, Rhadoop, Mahout, Impala, Oozie, Sqoop, IBM BigInsights, Spark (pyspark)
  • • Social Media: UberVU, Hootsuite, Sysomos, IBM SMA
  • • IDEs: Jupyter Notebooks, RStudio
  • • Cloud: AWS, MS Azure
  • • OS: – Windows, Unix (Ubuntu, CentOS)

Spoken Languages

    English (Fluent)