Manager Data

Piyush Khare

**** ******* **, ********, *** Jersey, 08873, USA

+1-508-***-**** adi616@r.postjobfree.com piyushkhare piyushkharenjit Education

New Jersey Institute of Technology Newark, NJ

MS IN DATA SCIENCE Sep. 2018 - May 2020

Siva Sivani Institute of Management Secunderabad, India POST GRADUATE DIPLOMA IN MANAGEMENT - FINANCE Jul. 2008 - Jan 2010 University of Lucknow Lucknow, India

B.SC. IN MATHEMATICS AND STATISTICS Jun. 2004 - May 2007 Skills

Languages R, Python, SQL

Tools Jupyter Notebook, Tableau, Power BI, Excel, RapidMiner, GMI, LDMI, Clearvision Libraries Pandas, Numpy, Sklearn, matplotlib, TensorFlow, Keras Graduate Courses Machine Learning, Deep Learning, Data Mining, R, Applied Stats, Big Data, Data Analytics, Financial Analysis Work Experience

eClerx Services Ltd Pune, India

ASSOCIATE PROCESS MANAGER Dec. 2012 - Jul. 2018

• Achieved 79% accuracy in fail trade forecasting by building machine learning model utilizing historical key trade features along with fail settle- ment patterns

• Developed, performed, and managed the analysis of 4 business and 9 financial metrics as well as performance measures

• Accomplished 99.2% team productivity by eliminating waste (non essential processes) and analyzing core business requirements

• Prepared MIS reports, monthly review dashboards and key performance indicators aligned with business strategies and initiatives by utilizing Tableau and Excel

• Monitored static set up done by the team on top-day for client accounts, proprietary accounts and third party give-up accounts in Clear Vision application

Projects

Trained Mini Image Data Set Using Convolutional Neural Network

• Trained CNN model to perform classification of images on TensorFlow using Keras and achieved 67% accuracy

• Optimized network using Adaptive Delta Optimiser and used batch normalization and dropout to avoid overfitting, which increased accuracy of the model to 76.8 %

Built Machine Learning Model Using Logistic Regression

• Analysed breast cancer data to anticipate whether patients have breast cancer or not

• Developed a Logistic Classifier to predict unclassified breast cancer data using Python. Used Sigmoid function that would conclude the model in binary form to maximize the likelihood of test data with minimal error prone Dimensionality Reduction of Data using Principal Component Analysis

• Built a model to improve speed of Machine Learning algorithms using Python and Sklearn libraries

• Performed feature selection using PCA to reduce the dimension of SNP data and classify it using Support Vector Machine(SVM) in which only 15 SNP features used to build the proposed test model ASHRAE- Great Energy Predictor 3

• Analysed 3 years of data from over 1000 buildings and applied data pre-processing methods to produce trainable data

• Implemented models (Scikit-learn); KNN, Decision Tree and Random Forest to forecast energy consumptions for metered buildings to assist large scale investors and financial institutions in investment decision. AssessedcreatedmodelsbycalculatingRootMeanSquaredLogarithmic Error score

Risk Factor of Maternal Mortality and Morbidity

• Programmed an Application based on Maternal and Mortality death using Machine learning algorithms. Reducing high rate of risk maternal death proposed solution which is finding risk factor of death in which everyphase after pregnancy

• Extracted patient’s data from webportal application providing the risk based on questionnaires. Applied Random forest machine learning algorithm to speculate best risk factor in pregnancy Visualization of US Household Income

• Created a visualization in Tableau to show the distribution of US household income considering geographical statistics. Additional Credentials and Co-Curriculars

Certificates / Badges

• Google Analytics for Beginners, Advanced Google Analytics, Google Analytics for Power Users - Google

• MachineLearningA-Z:Hands-onPythonandRinDataScience,TheCompleteSQLBootcamp2020,Tableau2020A-Z:Hands-OnTableau Training for Data Science - Udemy

• Tableau Data Scientist Badge and Tableau Analyst Badge - Tableau Learning

• Python Data Analysis, Artificial Intelligence Foundations: Machine Learning, Master SQL for Data Science and Advanced SQL for Data Scientists - Linkedin Learning

JULY 9, 2020 PIYUSH KHARE · RÉSUMÉ 1

Piyush Khare

3002 Holland Dr

Somerset, NJ – 08873

508-***-****

adi616@r.postjobfree.com

Hiring Manager

Dear Hiring Manager,

Thank you for the opportunity to apply at your company. After reviewing your job description, it’s clear that you are looking for a candidate that is extremely familiar with the responsibilities associated with the role and can perform them confidently. Given these requirements, I am certain that I have the necessary skills to successfully to do the job adeptly and perform above expectations.

I am an adaptable graduate (3.6 GPA, MS in Data Science) from New Jersey Institute of Technology. I have also pursued Post Graduate Diploma in Management ( Specialization – Finance, GPA – 7.36/10) and undergrads in Mathematics and Statistics (University of Lucknow, India). During the previous course of my professional career, I managed to accrue more than 9 years of work experience into the fields of analytics, investment banking and marketing. I had the privilege of working as Associate Process Manager at eClerx Services Limited where I learned valuable professional skills such as analytics, critical thinking, initial coding, risk analysis and problem solving. I have been consistently praised as result oriented by my professors, seniors and peers. Whether working on academic, extracurricular or professional projects, I apply proven analytical skills, teamwork and dedication which I hope leverage into the role at your company. After reviewing my resume, I hope you will agree that I am the type of competent and competitive candidate you are looking for. I look forward to elaborating on how my specific skills and abilities will benefit your organisation. Please contact me at 508-***-**** or via email at adi616@r.postjobfree.com to arrange for a convenient meeting time. Thank you for your consideration, and I look forward hearing from you soon. Sincerely,

Piyush Khare

Contact this candidate