cv

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Basics

Name Ishan Ranjan
Label Data Scientist, AI Researcher, Software Engineer
Email iranjan@bu.edu
Phone (925)-719-7349
Url https://iranjan31.github.io
Summary Data professional with experience in custom-tailored computational analysis solutions and providing in-depth analysis of relevant data.

Work

  • 2026.01 - Present
    Senior Software Engineer Engineer
    Talon
    Leading data integration efforts for Third-Party-Administrator clients, powering Talon's medical price transparency and health plan rewards platform.
  • 2025.08 - 2025.10
    Solutions Engineer
    CodeRabbit
    Spent a couple months sojourning as a Solutions Engineer at CodeRabbit. Worked with a hyper-growth GTM team and learned the ins-and-outs of a successful organization. Spearheaded field::engineering support for CodeRabbit integration with Azure DevOps, and helped grow ARR by a whole lot month-over-month.
    • Partnered with 5 Account Executives to nurture customer relationships and provide technical product expertise, growing ARR by 15% month over month
    • Provided technical support to pre-sales and post-sales customers by responding to product-related technical questions and architecting solutions on customer end.
  • 2024.12 - 2025.08
    Data Engineer
    John Hancock
    As a Data Engineer on Manulife | John Hancock’s Personal Investing platform team, I designed and maintained end-to-end data pipelines supporting Advanced Analytics for the Business Intelligence team, with a focus on 401k to IRA rollovers. My work integrated diverse data sources — including third-party broker data (Morningstar, SS&C, Fidelity), marketing and user engagement data (Marketo, Domo), and AWS-based sales call transcripts — into unified, pipeline-driven workflows. This enabled actionable insights for stakeholders and strengthened decision-making across the platform.
    • Delivered actionable insights for the Personal Investing Business Intelligence team by leading development and maintenance of 50+ Python ETL tasks.
    • Reduced technical debt and improved system scalability by migrating legacy pipelines to a micro services architecture using FastAPI, Azure Data Factory, Azure Kubernetes, and SQLAlchemy.
    • Engineered and deployed a NLTK-based cosine-similarity vector search application on Databricks that scans sales-call transcripts against approved IRA-Rollover scripts, ensuring real-time protocol adherence and cutting compliance-review time.
  • 2024.09 - 2024.12
    Graduate Teaching Assistant
    Boston University College of Arts and Sciences
    Teaching Assistnat for CAS CS 440, Introduction to Artificial Intelligence under Dr. Andrew Wood. Taught two discussion sections a week, assisted students during office hours, graded programming and written assignments, and contributed to solution and autograder code.
  • 2024.05 - 2024.12
    Graduate Researcher
    Faculty of Computing and Data Sciences, Boston University
    Thesis research under Dr. Thomas Gardos. Researching LLM use cases for academic curriculum advising and academic tutoring.
  • 2022.01 - 2023.07
    Data Engineer
    ROSALIND
    As a Data Engineer working with the Data Science and Platform Engineering teams, I was responsible for the development of backend workflows. I worked on all levels of the tech stack, from frontend development to pipeline implementation. I also interfaced and consulted with key industry partners to help bring their technologies to the platform.
    • Enhanced data processing by developing of backend pipelines using Python and R. Improved workflow efficiency and reliability via introduction of Apache Airflow automation.
    • Delivered high-performance APIs and novel visualization tools for industry partners using Django, Angular, and Flask
    • Administered and maintained Google Cloud infrastructure, Cloud SQL, and POSTGRES databases to ensure optimal availability, security, and performance.
    • Improved productivity and agility by playing a key role in refining Test/QA methodologies and optimizing development team's overall scrum process in conjunction with stakeholders.
  • 2021.03 - 2022.01
    Research Associate, Informatics
    Biosplice Therapeutics
    As a Research Associate working as a part of Biosplice’s Informatics group, I implemented and functionalized analysis pipelines for bulk data analysis. I helped to administer and optimize our informatics resources as Biosplice’s Linux Server Admin. I also played a key role in Biosplice’s laboratory information storage and technology by administrating our Dotmatics LIMS system.
    • Enhanced research infrastructure by implementing pipelines for bulk data analysis and identification of novel alternative splicing events using Python, R, and bash.
    • Streamlined data intake, backup to AWS S3 Storage, and sample quality control by developing an efficient next-generation sequencing (NGS) data stewardship system.
    • Revitalized Dotmatics LIMS, delivered scalability and reliability enhancements boosting system efficiency and easing user roadblocks and human error.
    • Led transition of LIMS frontend and backend to AWS EC2, ensuring smoother, more scalable cloud-based operations and hosting. Guaranteed optimal performance and reliability of critical in-house Oracle databases on Linux servers and virtual machines through administration and maintenance.

Education

  • 2023.09 - 2025.01

    Boston, Massachusetts

    Master of Science
    Boston University
    Data Science
  • 2017.09 - 2021.06

    San Diego, California

    Bachelor of Science
    UC San Diego
    Bioengineering, spec. Bioinformatics

Skills

Languages and Libraries
Python
R
C++
Java
Bash
Pandas
Numpy
CUDA
Git
Django
Jinjia
Angular
Flask
Numpy
SQL
Machine Learning
TensorFlow/Keras
PyTorch
Sklearn
LLMs
Langchain
RAG Methods
PEFT
CNNs
Transformers
HuggingFace
GANs
Variational Autoencoders
Frameworks and Methods
Algorithm Design
Database Administration
Linux/Unix
MapReduce
Kafka
Docker
Kubernetes
AWS
AWS Sagemaker
Google Cloud Platform
Oracle Cloud
Oracle Databases
Airflow
BEAM
MongoDB
MySQL
PostgreSQL

Publications

Volunteer

  • 2021.09 - Present
    Assistant Director of Operations
    Association of South-Asian A Cappella
    Assistant Director of Operations for the Association of South Asian A Cappella (desiacappella.org), a 501(c)(3) nonprofit organization.
    • Led operations team of six people in building out scoring, audition, and judging processes and applications
    • Implemented digital scoring processes for collegiate South Asian A Cappella competitions using Google Apps Script and Python.
    • Led Development on a custom-tailored ELO-based ranking system for competitive teams to determine national championship qualification.
    • Analyzed Scoring Distributions and Judge Feedback Sentiment using Seaborn, Numpy, Pandas, NLTK, spaCy

Languages

English
Native speaker
Hindi
Fluent
Spanish
Fluent