Data Analyst Social Media

Devyani Mardia

**************@*****.*** 732-***-**** linkedin.com/in/devyani-mardia h<ps://github.com/devyanimardia EDUCATION

Rutgers, The State University of New Jersey - New Brunswick, NJ, US Sep 2022 – Jan 2024 Master of Science in Sta.s.cs - Data Science GPA: 3.72/4 University of Mumbai, Thakur College of Engineering & Technology, Mumbai, IN Jul 2011 – Jun 2015 Bachelor of Engineering- Informa.on Technology First Class with Dis.nc.on RELEVANT WORK EXPERIENCE

Rutgers University RecreaLon Center- Data Analyst & VisualizaLon Intern, NJ, USA Jan 2023 – Ongoing

● Collec.ng recrea.onal data from the year 2021(post covid) from various sources (structured and unstructured), cleaning and profiling

(performing ETL on such datasets) to make complex data accessible and meaningful.

● Visualizing data and crea.ng dashboards using Power BI/other visualiza.on soWware for various projects of the Recrea.on Center helped to gain insights and make strategic business decisions.

True Fit (TF) - QA Engineer (Scrum Master), Mumbai, IN Sep 2020 – Jul 2022

● Led an interdisciplinary team of 9 soWware engineers and data scien.sts in developing Fashion Tech for be[er size recommenda.ons.

● Enhanced recommenda.on accuracy to 80% using algorithms like Random Forest Classifier, Bayesian classifier, or implemen.ng deep learning.

● Automated web apps and services using Python for in-sprint func.onal and performance tes.ng.

● Created a Data Quality Service for a height-weight Size Recommender system to detect inconsistencies. Netcracker Technology - Senior QA Engineer (AutomaLon), Pune, IN Apr 2019 – Sep 2020

● Automated SDN/NFV domain product tes.ng using Java and Python test suites, contribu.ng to efficient SDLC lifecycles.

● Developed a feasibility check feature that reduced .me to serve clients by 50%. Amdocs - SoTware Engineer (AutomaLon), Pune, IN. Aug 2015 – Apr 2019

● Collaborated with cross-func.onal teams for clients like AT&T and VFRO on external and internal products in the agile environment.

● Cer.fied and performed automa.on & Func.onal tes.ng using Java, Selenium, and Cucumber. ACADEMIC PROJECTS

VarieLes of Democracy Analysis and PredicLons (R, Regression, EDA, StaLsLcal Modeling)

● Performed Exploratory Data Analysis to understand indices and their impacts across con.nents, detected fluctua.ons in indices, and conducted survival analysis on the Leaders of Countries.

Tweet Search ApplicaLon (SQL, Mongo, NLTK, Python)

● Segregated tweet Data segrega.on into rela.onal and non-rela.onal datasets, caching tweets, and created a search applica.on based on popularity, date, keywords, and sen.ments.

NBA Salary PredicLon (R, Regression)

● Performed EDA and used regression to explore the rela.onship between NBA players' sta.s.cs and their salaries.

● Compared various non-linear regression models performance as well to find the op.mal solu.on that explains the rela.onship. Model Free PredicLon Test with ApplicaLons to Genomics Data

● Conducted a compara.ve study of Deep Neural Networks and Reinforcement learning models. Final UG project - Novel Approach for Parallel Processing for books using Classifica.on, clustering, and Associa.on techniques. RESEARCH & PUBLICATIONS

Full-length paper titled “Novel Approach for Parallel Processing Of Data Using Business Application”: International Conference on Communication Computing & Virtualization 2015,ISBN : 978-0-9884925-7-,, VolumeII, pp- 273-276,Feb 2015 SKILLS

Languages/Tools: Python, R, SAS, Java, Scala, SQL, SnowFlake, Hive, Spark, PowerBI, Tableau, MSOffice, Git, Jenkins, GCP, RedHat, AWS, Postman, Rest. Libraries: Numpy, pandas, matplotlib, ggplot, sci-kit-learn, PyTorch, NLTK, spaCy, TensorFlow, Keras. ML/Analy<cal Skills: Linear and Logis.c Regression, Random Forest, Decision Trees, SVM, Clustering, Deep Learning, NLP, Predic.ve Modeling, PCA, Forecas.ng, Reinforcement Learning.

Hobbies: Travel, Basketball, Social Media, Recrea.onal ac.vi.es.

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