Sayantani Bhattacharjee

adhs5o@r.postjobfree.com +1-412-***-**** www.linkedin.com/in/sayantani-bhattacharjee EDUCATION

University of Pittsburgh, Pittsburgh, PA (APRIL, 2020) Master of Sciences in Information Science (MSIS) 3.341/4.00 SRM University, Tamil Nadu, India

B.Tech in Computer Science and Engineering (MAY, 2017) EXPERIENCE & PROJECTS

Regeneron Pharmaceuticals Inc., New York JUN, 2019 - DEC, 2019 Data Platform Engineering Co-op

● Created Apache Spark environment workflow to migrate existing metadata databases from AWS Glue Data Catalog to Apache Hive Metastore which required extensive research of AWS Glue and its components, and Apache Hive.

● Briefly introduced to Apache Nifi for automated data transfer between in-house software. Gachon University, Seoul, South Korea NOV, 2016 - JAN, 2017 Research Project Intern

● Participated in the “Patent Big Data Analysis” research by Web Scraping and Crawling USPTO websites.

● Performed Data Mining to extract required information in order to optimize the data storage and performance of the website.

University of Pittsburgh, Pittsburgh JUN, 2020 - PRESENT Database System Developer and Software Engineer Intern

● Set-up, design and implement a Building Data Management System to be used for path recommendation and user indoor localization.

● Back-end server is a NoSQL MongoDB database used to store geojson data and developed based on the Play framework and Scala programming language.

● The front-end user interface is HTML5, CSS3 and JavaScript (ReactJS and LeafletJS). Study on Performance Comparisons of Relational and Non-Relational databases: APRIL, 2019

● Advanced DBMS project that dealt with time performance comparisons between Relational DB (MySQL) and Non-Relational DB (MongoDB) transactions on simulated e-commerce data. Deepfake Detection: APRIL, 2020

● An Artificial Intelligence project to identify manipulated neural networks generated synthetic instances of video data, from real data i.e. collected or created by human beings. Training the CNN involved the use of face-detection, extracting of resized faces and to create an input dataset of images, which would then each be classified as “REAL” or “FAKE” based on available metadata. Hexagon Capability Centre India, India AUG, 2017 - JUL, 2018 Software Analyst

● Developed and handled optimization of C++, C# and Visual Basic code, in an Agile Work environment for the product-based organization.

SKILLS

● Proficient in:R, C++, C#, Python (libraries: pyspark, scipy, scikit-learn, pymongo, matplotlib, tensorflow, pyarrow, StanfordCoreNLP), MongoDB, PostgreSQL, Hive Metastore, Glue Data Catalog, Glue ETL Job, Glue Crawler, AWS S3, HTML5, CSS3, ReactJS, LeafletJS, Data processing and analytics, Data Mining and Data Warehousing.

● Introduced to:Scala, Tableau, Apache Hive, SQLite, AWS Athena, HDFS, Apache Spark, Nifi, Flask framework, Play framework, Machine Learning and Artificial Intelligence.