Aug 2022 – Aug 2023 · 1 yr · Mumbai, Maharashtra, India

• My role majorly focuses on building Systematic Quant Trading Strategies using statistical methods with Machine Learning and Artificial Intelligence Models on top of market microstructures, applying them for
• Execution Algorithms and Trading Strategies
• Includes Paternity Sabbatical Starting May 1, 2023

Mar 2021 – Feb 2022 · 11 mos

• OTC, INR Markets
• Liquidity Engine for INR markets, setup and ran a profitable OTC Desk
• Responsible for order flows of entire CoinDCX (Prev : Go App)
• Fraud Analysis (ex - Trading Patterns , FEMA violations)
• Investment Indices
• Price level and Value checks for the INR pairs
• Margin Rates, Leverage, Liquidity
• Given the unprofessional conduct in industry, lack of effective strategy, regularity nightmares and excessive politics over responsibilities, decided to move on

May 2020 – Feb 2021 · 9 mos

• Boosting INR markets liquidity
• Set up and scaled OTC desk from scratch
• Improving trading products

Nov 2018 – May 2020 · 1 yr 6 mos · Mumbai Metropolitan Region

• Applying AI in Trading / Investment

Sep 2017 – Aug 2018 · 11 mos · Mumbai Metropolitan Region

Aug 2016 – Sep 2017 · 1 yr 1 mo · Mumbai, Maharashtra, India

• Leveraging data science in the field of high frequency trading

Jun 2015 – Jul 2016 · 1 yr 1 mo

• My work involved setting up the development and shipment pipeline of Data Science and Technology teams. Key achievements are
• 1. Streamlined the Development Pipeline into agile mode of development.
• 2. Nourishing the team into a full stack development profile - Data Scientist would host machine Learning Artificial Intelligence and NLP related product APIs , Technology Team would nurture the infrastructure and product
• 3. Setup the analytics and Data Warehousing pipeline to track user behaviour in real time.
• 4. Worked closely with Growth team to increase the registrations by 400%.
• 5. SEO fixes to improve the products rank in search engine results.

Dec 2014 – Jun 2015 · 6 mos

• Information Extraction / Information Retrieval
• Extracting Information and structuring it from a large user generated discussion dataset using Natural Language Processing, Artificial Intelligence, machine learning Algorithms and improving the model performance using feature engineering and ensembling
• Dev Ops
• Scaling the php-apache-mysql architecture by using load balancer (nginx) and attaching multiple apache instances with it with a master-slave database architecture

Aug 2013 – Dec 2014 · 1 yr 4 mos

• Tackling business problems by coming up with mathematical/statistical solutions to optimize the costs and achieve higher efficiency. The major projects are summarized below
• Optimal Data Collection Scheduling
• Designed an algorithm for optimal scheduling by reducing it to min cost max matching determination of a bipartite graph and used Hungarian Algorithm for solving. Link to the algorithm - https://housing.com/blog/2014/10/13/kps-algorithm-for-data-collector-route-optimization/
• Data Collection Offices Identification
• Formulated the cost function and optimized it using machine learning techniques to generate the possible sets of positions on the map for the new data collection offices required in order to cover the listing requests on the site within a time constrained, these new offices were supposed to act like hubs for the company's Hub n Spoke Model.
• Supply Forecasting for predicting and planning for the upcoming flats using neural networks
• Customer Behavior Analysis
• Using the customer's interaction and behavior data captured by trackers, trained a clustered supervised support vector machine model to predict whether a customer would lead to conversion with an accuracy of 78 %.
• Tracking List View
• Developed an Infrastructure to track the Real Time Impressions of objects (flats) in list view and maintain their values in an in memory key-value pair

May 2012 – Jul 2012 · 2 mos · Bangalore

• Performed a thorough background check to diagnose pain points in the current Bill Payment System in India
• Developed an advanced online bill payments system to rectify the same
• Performed extraction of details from bill (PDF) using text extraction techniques
• Implemented Voice, Email and text Reminder services, functionality to check the bill status through text messages along with smart analytical report of user's past expenditure
• Programmed in Spring 3.0 with Spring Security Java Framework; gained insight about Java Beans & loose coupling
• Used Hibernate ORM to interact with the relational Mysql database using HQL in an object oriented fashion; made the application database agnostic