Data Developer

PROFESSIONAL STATEMENT

Motivated, team-oriented and responsible

with experience in data analysis on several

databases. Tri-lingual in English, Hindi and

Telugu.

B.S. in Computational Data Sciences

Minor: Mathematics

Affiliations: Rewriting the Code, Girls Who Code

Pennsylvania State University, University

Park, PA (Graduation: December 2020)

EDUCATIONAL QUALIFICATION

Dean’s List: Spring

2018, Spring 2019

WayUp Top 100 Interns

2018

ACADEMIC PROFICIENCY

HONORS

CMPSC 465: Data Structures and Algorithms

CMPSC 461: Programming Language Concepts

CMPSC 455/456: Introduction to Numerical Analysis I & II CMPSC 431W: Database Management Systems

DS 410: Programming Models - Big Data

DS 340W: Applied Data Sciences

DS 440: Data Sciences Capstone Course

LEADERSHIP EXPERIENCE

PROJECT EXPERIENCE

An app that makes it easier for the students of Penn State to get involved in the clubs, research opportunities, etc. on campus virtually using the tools of Swift on the Microsoft Azure platform implementing the concepts of Deep and Machine learning The UI/UX component of this tool will be written in Javascript and will be implemented on the Apple App store incorporating the left/right wipe mechanism to choose between clubs to add them onto a student's personal calendar. Selected in the top 10 teams within 110 teams to the MVP phase of the selection process. Penn State Nittany AI Challenge, engagePSU, Finalist 2018-2019 Medha Deeptimahanti LINKEDIN

WORK EXPERIENCE

Dedicated, confident with an experience in IT and business analysis. Created customized solutions for customers improving productivity & efficiency. Built a system of architecture to meet specific client's needs. Tri-lingual in English, Hindi and Telugu, slight proficiency in Arabic. LANGUAGES, SKILLS & CERTIFICATIONS

Dell Boomi, Intern, Professional Services (Consulting) May - August 2019 Dell Boomi, Intern, Platform Support May - August 2018 Atomsphere (cloud computing platform)

Flow (UI platform)

HUB (Master Data Management)

Electronic Data Interchange (data transfer platform) API Management (platform bridge with external

instances)

External CRMs like SalesForce, NetSuite and

ServiceNow

Experience on platforms:

Dealt with projects using the platforms to aid the support staff to solve cases faster by leveraging a bridge between the platform and external CRMs to ease the accessibility of required data Mingled with the Sales department by shadowing and hackathons using the cloud computing platform to help solve their use cases faster

WAYUP TOP 100 INTERNS 2018 for accomplishing exceptional tasks during the internship Advised clients at critical implementation checkpoints to deliver a complete, production-ready integration or help train the client Reduced time-to-value through faster implementation and improved integration design for the client

Identified additional opportunities to engage the client by providing demos of the product's implementation by meeting weekly deadlines Helped client with the architectural design, validation of the product and process development of the client's use case

Java, C++, Python, SQL, MySQL, NoSQL, R, Cloud Computation, API Management, EDI, Salesforce, NetSuite, ServiceNow, Scala, Hadoop, Spark, Microsoft Office, Pytorch Soft skills: Team oriented, effective communication, problem solving, leadership & presentation skills

Certifications: Professional Boomi Cloud Developer, Boomi Flow, API Management, HUB

Indian Culture & Language Club, Penn State, President 2019-2020 Google Developer Student Club, Penn State, Vice President of Finance 2019-2020 National Organization of Business & Engineering, Penn State, Vice President of External Affairs 2018-2020 Dell, Penn State, Campus Ambassador 2018-2020

University Park Allocation Committee, Penn State, Finance Committee Member 2018-2019 M K D 5 4 4 3 @ P S U . E D U M E D H A _ D E E P T I M A H A N T I @ O U T L O O K . C O M + 1 - ( 8 1 4 ) - 8 7 6 - 2 4 5 2 3 0 0 S P U G H S T R E E T, A P T 4 0 3, S T A T E C O L L E G E, P A, 1 6 8 0 1 Massachusetts Institute of Technology, Train and Deploy an Image Classifier for Disaster Response 2020 Using the LADI data set consisting of human and machine disaster aerial images that is loaded on an Amazon S3 bucket, we developed a deep learning model on PyTorch to classify the images based on disasters such as flooding, debris, and infrastructure. Created documentation and tutorials to aid the MIT BWSI remote sensing for disaster response course with the code and process of the model.

Contact this candidate