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Software Engineer, Data Analyst, Systems Integration Trainee

Location:
Jersey City, NJ
Posted:
June 25, 2018

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Resume:

DEEP LAKKAD

Ph: +1-929-***-**** **, Apt#B Hutton Street, Jersey City, NJ 07307 ac50gv@r.postjobfree.com

OBJECTIVE

To seek a position at your organization, and use strong critical thinking skills equipped with technical knowledge set to contribute to the success of business strategies.

EDUCATION

Stevens Institute of Technology, New Jersey

Master of Science in Information Systems - GPA-3.87/4 May’18

Coursework: Data Warehousing and Business Intelligence, Multivariate Data Analysis, Project Management, Web Analytics, Financial Decision Making, Knowledge Discovery in Databases, Python for Finance

C.K. Pithawala College of Engineering & Technology, Gujarat, India

Bachelor of Engineering in Electronic & Communication- GPA-3.6/4 May’16

SKILL SETS

Programming Languages and Database Systems: SAS, Python, R, Advanced Excel, Spark, SQL Server

Tools: Tableau, AWS, Google Analytics, Anaconda Navigator, Azure

Key Skills: Machine Learning Techniques, Sentiment Analysis, Data Visualization, Requirement Analysis, BPM, Risk Management, Predictive Modeling, Marketing Analytics, CRM, Digital Marketing, Recommender Systems

Statistics: Regression Techniques, Decision Trees, Random Forest, SVM, Naïve Bayes, Hierarchical Clustering, K-Means, Confidence Intervals, Chi-square test, ANOVA, F-Test, Z-test, T-test, Binomial & Poisson Distribution, NLP

Libraries: scikit-learn, pandas, numpy, scipy, caret, ggplot2, spacy, dpylr, tidyr, sparklyr, PySpark

Certifications: Bloomberg Market Concepts, Oracle PL/SQL 11g

WORK EXPERIENCE

Vidyo, New Jersey, USA – Software Engineer Intern Jun’17 – Aug’17

Extracted log from Git using Python and performed data cleaning using regex to generate the Changelogs for comparing different software versions

Created Python script for automating the release notes using JSON APIs on confluence page when the run tests against the deployed software packages are successful

Surat Metallics Limited, India – Data Analyst Oct’14 – Jun’16

Built visual analytics i.e. interactive dashboards and storyline using business intelligence tool (Tableau) for sales analysis, CRM and project deliverables to derive actionable intelligence from end results.

Used advanced Microsoft Excel to create Pivot Tables, VLOOKUP and other excel functions for Project Portfolio Management (PPM), and delivered critical technology solutions for pricing analysis

Evaluated existing business and operational flows and developed recommendations for process improvements that reduced the manual load by 75%

Tata Consultancy Services, India – System Integration Trainee Apr’14 – Sep’14

Created Java Scripts in third party monitoring system that routinely execute key website functions, such as add-to-cart, email sign up, site search, place order, etc.

Designed and developed specific databases for collection, tracking and reporting of data in Oracle PL/SQL

ACADEMIC PROJECTS:

Flight Delay Prediction, Business Analytics

Developed a Bayesian Model to predict flights with 14 delay groups and achieved 78% accuracy

Validated the model by using confusion matrix methodology and testing on the 2014 data

Proposed business insights as route optimization and alternative hubs to mitigate delay and costs

Fake News Detection using Supervised Learning – NLP

Performed data pre-processing techniques such as data cleaning and transforming these bag of words into a matrix form using CountVectorizer library and splitting the data into training and test

Developed a Naïve Bayes model that provides 80% accuracy for the given test dataset

Prediction Model for detecting the Diabetes Risk – Machine Learning

Conducted the skewness test on the dataset to check the distribution of target variable and split the dataset in the ratio of 70% and 30% train-test split after preprocessing steps.

Validated the model using confusion matrix for detecting type 1 and type 2 error

Concluded decision tree classifier having the highest accuracy of 74% than other three classifiers



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