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Python (Flask) App for Individual Mutual Fund Investment Analysis
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mutual-fund-analysis's Introduction
💼 Senior Associate, Fund Services Tech
Infosys Limited, Bengaluru - Senior Systems Engineer, R&D
NOVEMBER 2018 - AUGUST 2021
- Hypothesized and illustrated multiple full-stack Cyber Security
applications, effectively improving security infrastructure for Clients.
- Designed quick PoC on multiple data-analytics use-case and
optimized threat hunting based on risk prediction.
- Managed CI/CD Pipelines integrated with Git for quick deployment at
production and non-production servers.
- Designed and improved visualization frameworks for better data
conceptualization.
Morgan Stanley, Bengaluru - Senior Associate, Fund Services Tech
- Modernization of legacy frameworks and application model(s) in Fund Services Admistration
- Designed GraphQL based Search APIs for entity hierarchy trees, for scalable and time-efficient downstream consumers.
- Part of team(s) designing and implementing application(s) related to Client Onboarding, Hege Fund Admistration.
- Automation of order-booking lifecycle for Investor.
- Angular (4, 6, 8, 10)
- React using Typescript
- Data Visualization Frameworks (Highcharts, NGX Charts, Apex Charts, Google Charts)
- Node Server Configuration (Express, Helmet, Node SSPI)
- Spring Boot
- Hibernate ORM
- Spring Core
- GraphQL
- Python Flask
- MySQL
- MSSQL
- Apache Druid
- Presto
- Sybase ASE
- MongoDB
- Cassandra
- Supervised Learning - Linear Regression, Support Vector Machine, KNN, Random Forest, Decision Tree
- Time Series Prediction - ARIMA
- Neural Network - RNN
- Data Engineering in Google Cloud Platform
- NoSQL DB (Cassandra)
- Elastic Search
- Julia
- ICETS Inspire Awards, Rising Star - Infosys
- Fund Serviecs Start of the Month - Morgan Stanley
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