About
Versatile, Radical and Honest individual who believes he's here to make a difference.

Software Engineer & Data Scientist.
- Birthday: 21 July 1995
- Website: Click here
- Phone: +1 714 510 6422
- City: La Jolla,CA
- Age: 25
- Degree: Masters
- Email: akashshah59@gmail.com
Apart from software , data and technology I love playing soccer, playing music on my guitar and enjoy reading anything that's not fictional. I pride myself at being a connoisseur of good food too. Feel free to connect on the above given contact to talk about almost anything!
Skills
Resume
Education
Masters in Data Science & Engineering
Sept 2019 - Present
University of California, San Diego, CA
In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others.
Click for more DetailsBachelor of Technology in Computer Engineering
July 2013 - May 2017
University of Pune, MH, India
A consistent academic performer with a GPA of 9/10 in the Department of Computer Science and Engineering. Pursued multiple internships and a international student exchange program. I also worked with the Entrepreneurship Development Club of our college as the multi-media lead , where we organized large scale events to promote a start-up mentality in college.
Academic Exchange in Computer Science
Aug 2015 - Dec 2015
Ryerson University, Toronto, ON
25 students from the state of Maharashtra and Goa attend the Ontario-Maharashtra exchange program annually. Details Took core courses like Object Oriented Systems , Databases and Computer Networks. Also explored Entreprenuership courses at the Ryerson business school.
Certifications
AWS Certified Solutions Architect - Associate
Deep Learning Specialization by deeplearning.ai
Professional Experience
Machine Learning for Social Sciences Lab (UCSD)
Sept 2019 - Present
Research Data Analyst / Computational Data Sci. , La Jolla, CA
- Active collaberation with political scientists on data driven problems, i.e. optimizing existing scripts using parallel programming.
- Responsible for building a knowledge graph using data from various sources in RDF format, using Apache Spark and columnar data formats.
- Processed Big unstructured training data (~60TB) for our Machine Learning research publication on Date Normalization.
- Built a HPC server for the lab and responsible for the maintainance of the same.
- Machine Learning Ops: Introduced DVC (Data Version Control) for better team practices and built sleek Docker images for reproducibility.
HSBC Technology
Jul 2017 - Jul 2019
Software Engineer, Pune, India
- Delivered key data services to the UK Private Banking analytics team by taking up end to end responsibility for 7 sprints right from business engagement.
- Development of an ETL framework, mainly SQLs, to ingest Terabyte scale private banking data daily from multiple regions into Hadoop using shell, Python, Hive.
- Developed Proof of concepts on both AWS and GCP cloud platforms to make crucial platform decisions for the data pipeline architecture.
- AWS Built a serverless version of MapReduce using Lambda functions to perform large scale distributed aggregations on DynamoDB data.
- GCP Built an analytical dashboard using plotly, Python, SQL, and BigQuery. Wrote code to monitor Google Firestore’s read-write performance using Google Cloud Functions.
SAP Labs
Jan 2017 - Jun 2017
Student Intern, Pune, India
- Worked on SAP's database Big Data RDBMS SAP IQ, a column-oriented DB.
- Wrote threaded code in Python to automate cleaning and archiving tasks in using that developed understanding of DevOps practices and database architectures.
- Developed a random data generator tool in python to test Database Indexes used across multiple teams
Testimonials

Vikash Kumar
Delivery Lead at HSBC
Akash joined my team as fresh college grad. Found him as proactive technology enthusiast always looking to explore and learn new technologies. He was well recognised in bank for demonstrating capabilities to perform Fraud Analytics using Graph Database in Hackathon event, and won runner-up position. He demonstrated his learning capabilities by quickly learning Hadoop platform and collaborated well with Global teams located in Swiss, HongKong and UK to deliver UK based critical projects. He also did an excellent work for Cloud based implementation for serverless data pipeline using Python, wherein his implementation of MapReduce using python on AWS was appreciated. He was always counted upon to perform initial assessment of new technologies for adoption in team. A great team player and asset for Organisation, will be happy to work with him in future. Cheers!