Data Analytics, Machine Learning, Data Mining, Applied Statistics.

HIMANGSHU PAL

Bayonne, New Jersey · 551-***-****

*********.***@*****.*** · LinkedIn: himangshupal719 · GitHub : himangshupal

Passionate and detail-oriented professional with 8 years of experience in software development industries. Worked with world’s top financial clients to help resolve business problems by providing technical solutions. Exposed to all phases of Software Development Life Cycle and experienced in various models like Water Fall, Incremental and Agile. Developed and delivered various software applications and systems for Banking and Health Care clients. Successfully participated and executed various analytics projects and research ideas using Statistical methodologies, Machine Learning, Data Mining and Data analysis techniques. Looking forward to building a strong career in research fields.

Experienced in “financial” and “healthcare” industrial application development, data extraction and reporting from heterogeneous data sources, end to end project implementation and production deployment.

Over 8 years prior experience in development of Banking and Financial, Healthcare, Insurance systems and legacy applications, and leading SDLC, STLC phases, building and maintaining Mainframe Applications and systems.

Experienced in Project management and deliveries, team leading, presentation, client handling, communication, training and mentoring.

Demonstrated data driven research skills by learning and implementing statistical methods, data analytics techniques, machine learning algorithms and data mining tools.

Professional background in analytics, database, software development.

EDUCATION

FEBRUARY 2019

MASTER OF SCIENCE IN ANALYTICS, harrisburg university of science and technology

Course works: Applied Statistics, Principal of Analytics, Exploratory Data Analytics, Data Visualization, Machine Learning, Data Mining, Functional Programming for Analytics. Accumulated GPA: 3.83/4.

AUGUST 2007

BACHELOR OF TECHNOLOGY IN COMPUTER SCIENCE AND ENGINEERING,

West bengal university of technology

Accumulated GPA: 7.8/10

ACADEMIC PROJECTS

REAL ESTATE ANALYSIS

Analyze 24 years economic, governmental, stock market, employment, educational and residential real estate data and established three most influential categories of variables that control real estate market variation. The significant variable categories were inflation, interest rates and unemployment.

Built predictive model based on 15 years housing value, basic properties, location data to help middle income class people to find best property and location for investment.

Created regression models based on historical Boston Housing data and predicted the impact of neighborhood attributes on median house price variation.

SOCIAL & GOVERNMENTAL ISSUE ANALYSIS

Predicted the reasons of absenteeism at work place using various machine learning algorithms like K-means clustering, decision and classification trees, random forest, support vector machines and linear discriminant analysis.

Analysis performed on the Absenteeism at workplace dataset collected from UCI repository. The absenteeism in hours were grouped into three categories high, low and moderate so that the prediction could be made effectively using the machine learning. The analyses and predictions were made entirely using R programming and various packages that facilitated the training of the model using the commonly used Machine Learning algorithms

Performed risk analysis using Bayesian Belief Network on the importance of Gun Control Law enactment in United States based on Gun violence, Gun crime, Gun death data from US census data base and FBI data base.

Analyzed United states crime data and built regression models to answer the big question – Are immigrants in the United States more likely to commit crimes than American Born Citizens. Our analysis concluded immigrants are less likely to commit violent crimes than U.S. born citizens.

Performed analysis based on Demographical, Economical, Income, Job market, Inflation, Political, Weather, Housing price data to find the causality between population migration and the factors. As per our predictive models, education, job market and taxes caused interstate migration in United States in since 2005.

HEALTH ANALYSIS

Analyzed 20 Fitbit data to predict sleep patterns of people working in Corporate world or desk jobs.

Created Tableau dashboard to analyze 90 days data from iPhone Health application to visualize patterns of daily and monthly calorie burn, weight loss, heart rates fluctuation, activities, daily walking patters. Also generated seasonal and yearly data to forecast relationship between walking patterns, calorie burn and weight loss.

EXPERIENCE

DECEMBER 2015 – MARCH 2015

TECHNOLOGY LEAD, infosys technologies ltd

Performed a role of Senior Mainframe Application Developer.

Contributed to research project by developing sample application using Assembler, Cobol, CICS, VSAM to demonstrate the performance improvement of payment authorization process over existing Cobol, CICS applications.

Lead team of size 10 for the research project to create P.O.C. for First Data Corporation’s online payment authorization system improvement.

MAY 2011 – DECEMBER 2015

ASSOCIATE CONSULTANT, principal financal group

Being an Application Developer, I demonstrated my flexibility of working in Operation, Dev Ops, Production Support, Application Development and enhancement project.

Designed, Developed and Enhanced health care application for provider network, administer insurance products like dental, vision, disability and life, applications for members and group benefits.

Helped organization to build a framework to produce electronic Explanation of Benefits dynamically, claim checks and drafts and store them to be consumed by other applications.

FEBRUARY 2008 – MAY 2011

SYSTEM ENGINEER, tata consultancy services

Contributed in money market and mutual fund asset conversion from Smith Barney to Morgan Stanley by enhancing and maintaining asset conversion reporting and balancing systems, data transformation batch processes and upgrading online data validation systems by adding new attributes and features.

Developed batch processing system to preprocess and transform asset and wealth data to migrate from National Financial Service data bases to Bank of America Merrill Lynch data bases. Developed Cobol rule engine to convert the assets from NFS to Bank of America systems. Also, enhanced existing application and systems of Bank of America to link various financial products and accounts owned by a single institute or organization to produce a common statement per account holder.

Demonstrated my understanding of software development life cycle and various phases of application development and enhancements by working in integration project to integrate clearing and outbound systems integration project for Target Corporation.

SKILLS

Data Analytics Methods: Inferential Analysis, Descriptive statistics, Data Selection and Pre-processing, Exploratory Data Analysis, Data Visualization, Machine Learning Algorithms, Data Mining, Regression Analysis, Classification Techniques, Clustering, Analysis of Variances, Hypothesis Testing, Risk Analysis, Simulation, Model building.

Programming Languages: R, Python, SQL, PL/SQL, Matlab (Octave).

Databases and Operating Systems: Windows, Linux, DB2, Oracle, MySQL, MS Access.

Analytical tools and libraries: Tableau, ggplot2, ggmap, Tidyr, RMYSQL, xlsx, dplyr, stringr, lubridate, pandas, matplotlib, numpy, caret, spyder, jupyter, shiny, quantmod, R-Markdown, scipy, Atom, WEKA, Excel Analytics, Solver, Google Sheets, R-Studio, Anaconda, ArcGIS.

Other skill sets: COBOL, CICS,Easytrive, VSAM, JCL, Mainframe, JIRA, Git/GitHub, WinSQL, HP ALM, SharePoint, Microsoft suit, COMPASS, WinSQL, Informatica, Insurance and Health Care, Banking and Financial Services, SDLC, Agile, SAFe, Waterfall.

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