
SDE @DTCC | Ex-@Ford | Ex-@Accenture
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DTCC
Data Scientist
June 16, 2026 – Present
TradeStream-Event-Driven-Trade-Processing-Platform
January 1, 2026 – Present
Developed an event-driven application that detects incoming files, streams trade events via Kafka, performs validation at scale, and delivers real-time processing status to the UI with granular acknowledgments.
View ProjectKafka-Producer-Consumer-Spring-Boot-Microservices
August 3, 2025 – August 3, 2025
Project to understand the Producer-Consumer functionality in Kafka, and the Publish-Subscribe Model of Topics
View ProjectAutomatic-Weather-Stations-AWS-for-Schools
July 22, 2021 – July 22, 2021
Automatic weather stations are extensively used to collect data from sites and locations which are remote, difficult to access or even from other locations to save the human labor and avoid human error. For a weather forecast to be successful, in spite of its accuracy it has to be disseminated and presented in a way that allows the students to actually receive, understand and act upon the information. The proposed Automatic Weather Station aims to measure several meteorological parameters such as Temperature, Humidity, Pressure, Rainfall, Wind Speed and Wind Direction. It will be designed and built for the long-term use under extreme weather conditions. This AWS will gather high-quality real-time data and this data will be made accessible to all the students using an online portal such as a website or an app.
View ProjectHardware-Implementation-of-Polar-Code-for-5G-Application-on-FPGA
July 22, 2021 – July 22, 2021
Polar codes are error correction codes developed by Erdal Arikan which achieves channel capacity and its reduced complexity makes it more attractive and successful. The discovery of polar code is standing as a milestone in coding theory and lot of researches are carrying out on this topic. Varieties of schemes have been proposed over these years for the generation, encoding and decoding of polar codes. The important area of research is the encoder and decoder section and most widely used one is successive cancellation decoder. Reduced complexity is the most attractive feature with an overall encoding and decoding complexity of O (NlogN) for a block size of N, which leads to its great success. Polar code concept is used in the most promising 5G technology. In this project a complete implementation of the polar Encoder and decoder is discussed with its MATLAB and Verilog implementations.
View ProjectGPU-Accelerated-FFT-Implementation-and-Performance-Profiling-using-NVIDIA-Visual-Profiler
January 11, 2020 – May 26, 2020
· Fast Fourier Transform (FFT) of a Signal was calculated using cuFFT Library. · GPU Power, Thermal and Clock values were studied during FFT Computation, along with Computation Time. · GPU used for FFT Implementation and Profiling was GTX 960M of Maxwell Architecture.
View ProjectSound-Navigation-and-Ranging-Using-Ultrasonic-Sensor
January 11, 2020 – October 11, 2021
Sound Navigation and Ranging (SONAR) is a Remote Sensing System with important military, scientific and commercial applications. Active SONAR transmits acoustic (i.e., sound) waves. These waves return echoes from certain features or targets that allow the determination of important properties and attributes of the target (i.e., shape, size, speed, distance, etc.). Because electromagnetic waves are strongly attenuated (diminished) in water, RADAR signals are mostly used for ground or atmospheric observations. Because SONAR signals easily penetrate water, they are ideal for navigation and measurement under water.
View ProjectMultivariate-Linear-Regression-Algorithm-Using-Scikit-learn
June 18, 2019 – June 18, 2019
This project deals with basic concepts of data science like dataset generation, exploratory data analysis, multivariate linear regression, gradient descent which can guide a novice data science explorer. Data set generation has always been an inquisitive part of any data science project.With massive availability of the high computing processors in the market, customers suffer from ‘Paradox of Choice’. This project focuses on prediction of price of processor based on various attributes like clock speed, cores and cache memory.
View ProjectInstrumentation-Amplifier-OP07-Using-PT100
June 17, 2019 – June 17, 2019
The PT100 is a resistance temperature detector (RTD) which changes its resistance depending on its surrounding temperature, it's used widely for industrial processes with slow dynamics and relatively wide temperature ranges. It's used for slow dynamic processes because RTDs have slow response times but are accurate and have low drift over time. The main objective of this project is to make this sensor work for a temperature range of 0 to 600 degrees Celsius. To achieve that we have calculated the specific resistances to get the desired gain.
View ProjectLive-Subscriber-Counter-Using-Arduino-Sainathan-Iyer
April 14, 2018 – April 14, 2018
A complete DIY solution for Live Subscriber Counter for your YouTube Channel
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, spanning embedded systems, signal processing, web development, and data science. This breadth indicates a versatile individual who is not confined to a single domain, which can be a positive for cultural fit in an innovative environment. The target role is 'Data Scientist', and while there are relevant projects, a significant portion of the experience is in other engineering disciplines. The candidate's current role at DTCC as a Data Scientist aligns well with the target role, but the start date is in the future, suggesting this is a prospective role. The personal projects show initiative and a learning mindset, which generally contributes positively to cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying technical concepts. The diversity of personal projects suggests curiosity and a willingness to explore different domains, which can be beneficial for problem-solving and adaptability in a data science role. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.