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Business Analytics and Intelligence

Location:
Jersey City, NJ, 07302
Posted:
October 31, 2019

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Resume:

MINAL CHANDRA

New Jersey 201-***-**** adapz0@r.postjobfree.com

SUMMARY

Data Science enthusiast with a growth mindset and a passion for learning. I am actively seeking an opportunity where I can apply and develop my skills to help business achieve its strategic goals. I have clarity of my goals and aim to accomplish with hard work, congruity of character and passion.

EDUCATION

Stevens Institute of Technology, Hoboken, NJ

Master of Science in Business Intelligence & Analytics Aug 2019- Dec 2020

Amity University, Noida, India

Post Graduate Diploma Big Data Analytics, CGPA: 8.25 May 2018-May 2019

University of Delhi

Bachelor of Commerce with Honors

Udemy Certifications

Python, SQL,Machine

Learning with R

SKILLS

Aug 2014-Aug 2017

Machine Learning: Python, R, SciKit-Learn

Database: MySQL

Software: Microsoft Excel (Pivot Table, Solver, Solver Tables, VLOOKUP) Data Visualization: Seaborn, Matplotlib,Tableau

EXPERIENCE

Ducat India, Noida, India Mar 2019-July 2019

Data Science Intern

• Sentiment Analysis on Amazon Product Reviews: Leveraged Machine Learning to analyze and predict the positive or negative sentiment based on the reviews.

• Character Recognition: Recognizing handwritten characters from MNIST dataset. Utilized KNeighborsClassifier, Logistic Regression, RandomForestClassifier to achieve a prediction score above 98%.

• SMS Spam Filtering: Curated dataset and utilized RandomForestClassifier to achieve a recall score of 91.25% Ashok Akshay Associates, Noida, India Jul 2017-Aug 2019 Account Analyst

• GST Implementation: Provided consultation to small and medium businesses to implement the regulatory requirements for assessment and filing of GST tax requirements.

• Helped modernize the accounting systems to enable direct and indirect tax planning resulting in substantial tax savings for the customers.

• Visited customer sites for assisting in audit procedures. ACADEMIC PROJECT

Amity University, Noida, India May 2019

Titanic Survival Prediction, Grade: A+

Developed a project based on Exploratory Analysis and Survival Prediction on Titanic Dataset in Python using RandomForrestClassifier and Logistic Regression procuring scores of 77% and 79% respectively.



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