Python, Java, MySQL, mongodb, restAPI, HTML5, CSS3, JavaScript

AKARSHIKA SINGHAL

********@****.*** https://www.linkedin.com/in/akarshika-singhal-4a1b04131/

443-***-****

Arbutus, Maryland, 21227

EDUCATION

University of Maryland Baltimore County Expected in May 2021

Master of Science in Information Systems GPA: 3.66 (Spring 2020)

COURSES

Distributed Systems, Structured System Analysis and Design, Advance Database Project, Datamining,

Introduction to Data Science, Application of Intelligent Technologies

Rajiv Gandhi Technological University June 2017

Bachelor of Engineering in Electronics and Communication GPA: 3.30

TECHNICAL SKILLS

Languages: Python, Java, C++, C

Database: MySQL, PL/SQL, Oracle

Tools & libraries: Oracle SQL Developer, Docker, PyCharm, Jupyter Notebook, Microsoft Office, Eclipse, Pandas

BI/DI Tools: Tableau, Google Studio

Web Technologies: HTML5, CSS, JavaScript, Flask, jQuery, RESTAPI

Framework: Hibernate

PROFESSIONAL EXPERIENCE

Programmer Analyst Trainee April 2018 – May 2019

Cognizant Technology Solutions Gurugram, India

As a member of Back-end team, provided correct data as per proper data validation and data cleansing process using SQL, Python and Excel for Tableau Dashboards.

Developed procedure in SQL server to convert client provided raw data into meaningful information.

Designed project workflow and structure from scratch.

Worked under pressure and strict deadlines, with commitment.

TRAININGS

Udemy Web Development Bootcamp Certified Training 2020

Udemy AWS Certified Training 2019

Python Certified Training Delhi, India 2019

Udemy Oracle SQL Certified Training 2018

Oracle Java Certified Training Noida, India October 2017 – April 2018

Certified Training in CNC Machine, BHEL Jhansi, India 2016

Certified Training in VLSI Design, CRISP Bhopal, India 2015

ACADEMIC PROJECTS

Facial Recognition Based Attendance System Spring 2020

In this project backend is designed using python, frontend is designed using HTML5 and CSS, and used Flask for API connection. The web page shows information about students who are attending class with their login time and date. With the help of this project, the professor time will not waste in taking attendance manually.

Prediction of Rain in Australia Using Classification Algorithms, Exploratory Data Analysis and Data Mining Techniques Spring 2020

In this project various data mining techniques used like logistic regression, Naïve Bayes algorithm, random forest classification, and support vector machine model. With the help of using these data mining techniques we can predict whether it will rain tomorrow or not on the basis of various factors.

Database Design Project on Course Scheduling System for Students and Faculty Fall 2019

Created relational database management system in Oracle SQL Developer using Procedures, SQL Queries, triggers, functions, cursors (Implicit and Explicit) and handle errors.

Term Research paper on Artificial Intelligence Techniques in Various Domains of Software Fall 2019

Paper investigated structure and usage plan of a huge scale control lattice AI examination, joining AI innovation with largescale control network and to handle various issues in software field.

Capstone Paper on Establishing a Business in the Food Industry Fall 2019

Used Zomato Bangalore Dataset (547.8 MB) to predict new restaurants rating by comparing the data of other restaurants from neighborhood using Random Forest Regression technique and generated visualizations using Jupyter Notebook.

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