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Data Software Engineer

St. Louis, Missouri, United States
May 16, 2018

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Nikhil Sinha

Dallas 314-***-****


M.S. Information Technology and Management, University of Texas at Dallas (Dean Scholarship Award) Pursuing B. Tech Computer Science Engineering, West BengalUniversity, India GPA 7.02/10 May, 2013 TECHNICAL SKILLS AND CERTIFICATION

Certification of course completion in Data Science with R, Python and Machine Learning.

Programming Languages: Python, Oracle SQL/PLSQL, R, C

Database Tools: Oracle 10g,SQL/PL-SQL

Statistical Tools: R Programming, SASProgramming

Applications: Tableau, MS Access, SQL developer, Data Warehousing, ETL, SAP Net Weaver, Bex Query,Business Objects, Tableau, SAP Lumira, SAP HANA

Project Management: Waterfall, Agile methodology, Scrum, Sprint, SDLC

Academic Skills: Simulation and Modelling, Hypothesis Testing, Regression Analysis, Predictive Modelling, Time Series Analysis, Text Analysis, Data Modelling, Data Mining, Google Analytics, Google Ad Word, Web Analytics, Machine Learning - Clustering Models (K-Means and Hierarchical algorithm) and Decision Tree Models (Gini, Chi square, CART, CHAID), Anova, T Statistic, Numpy, Pandas, Bayesian Classifier, k-NN algorithm, Random Forest, Support Vector Machine, Neural Networks, SciKitlearn, VLOOKUP, VBA and Macros, Pivot Tables, Advanced Excel Functions. PROFESSIONAL EXPERIENCE

Software Engineer, Capgemini, Mumbai, India July 2013 – Nov 2014

Spearheaded planning, designing and building of Claim processing application to support 12000 users

Created scripts to automate recurring user-defined tasks in Python. Also, performed data analysis to identify corrupt records during integration testing.

Mapped the business requirements to the insurance domain functionalities offered by the CRMpackage

Performed Problem Management, Release Management & Functional Review for improving the application

Assisted the team in collecting, cleaning and transforming data from different sources for big data analytics

Created dashboards and KPI's to streamline metrics reporting using Tableau that improved SLA metrics by 25%

Worked on loading disparate data sets coming from different sources to HADOOP environment and developed HIVE scripts for analyst requirements

Data Analyst, Aakarsoft Technologies, India December 2014 – May 2017

Worked on data cleaning and reshaping, generated segmented subsets using numpy and Pandas in Python. Developed Python scripts to automate data sampling process. Ensured the data integrity by checking for completeness, duplication, accuracy, and consistency

Applied various machine learning algorithms and statistical modeling like decision tree, logistic regression, Gradient Boosting Machine to build predictive model using scikit-learn package in Python.

Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.

Leveraged on BI tools like Tableau and Power BI to develop business dashboards enabling leaders for decision making

Developed advanced internal and external data sets to develop business insights and combine with insights.

Created automated anomaly detection systems and constantly tracked its performance using ML Algorithms.

Interpreted data, analyzed results using statistical techniques and provided ongoing reports for ad campaigns. ACADEMIC PROJECTS

Created 4 Ad Word Campaigns and 3 Facebook Campaigns, to improve CPM for the website

Created a linear regression model on the marketing mix data having 33 variables across 104 weeks and studied the impact of various potential factors that drive the sales and predicting sales volume with an accuracy level of 81.02%

Performed a Data Visualization from the HTML page “The world’s most valuable brand – “Forbes.html” and analyzed the data across Technology, Luxury, and Financial Services for the big 4 companies using XML and RCurl

Performed text analysis to understand the sentiment of users of iPhone and Samsung galaxy from twitter data LEADERSHIP & HONORS

Advised functional flow change saving 52 man-hours weekly & earliest to be promoted to CRM Consultant

Delivered the testing phase with defect production leakage of less than 4% (Industry Average is 10%)

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