Jithendra Yenugula

Data Engineer & Scientist

Currently

I’m a Data Engineer at NeenOpal. I enjoy bridging the gap between software engineering and data analytics — combining my technical skills with my problem-solving ability to build scalable data solutions.

Employment

2021- NeenOpal, Inc. Data Engineer (data scientist and solutions architect).

My work includes developing cloud-based automated data warehousing and scalable ETL solutions for global clients operating in a variety of sectors. I’m an active participant in client calls, engaging in discussions about key performance indicators (KPIs) and architecture. I also work on time series forecasting problems at scale.

Some key projects include - Enterprise-wide ETL + BI Implementation (AWS + PowerBI) for a multinational Logistics company, Sales and Rental household prices for UK-base real-estate firm, ETL+ BI Implementation (AWS + Tableau) for an Edtech Company, BI Implementation (Azure + PowerBI) for a leading provider of employee scheduling software

2020-21 NeenOpal, Inc. Data Scientist Intern.

I assisted a Senior Data Scientist in developing a hybrid forecasting model leveraging ML algorithms and statistical models in order to predict the sales of one of the largest Tiles producers in Sri Lanka. Automated the manual effort of importing, cleaning, and preprocessing data, scheduled ML model autoruns and used Tableau for presenting interesting insights to the stakeholders.

2019 HCI Labs, IIIT Allahabad Research Intern.

I performed Literature survey on early detection of Autism in toddlers under guidance of Prof. Anupam Agarwal. Worked on Autism Detection application using Image Processing and Machine Learning techniques. I also worked on POCs on various new domains of machine learning like Transfer Learning.

Technical skills

Education

2017-21 Indian Institute of Information Technology, Jabalpur Bachelors in Computer Science

Certifications

2023-26 AWS Certified Solutions Architect - Associate (view credential)

2022-24 Microsoft Certified: Azure Data Engineer Associate (view credential)

Interests

Projects

Github: My personal github account hosts my hobby development projects as well as my notes while learning various technologies.

FPGA Neural Network Accelerator (github): A Neural Network Accelerator for Darknet Reference Model for image classification on Imagenet Dataset on Intel Cyclone V Soc FPGA which achieved around 300% faster inference speed than CPU, when connected to ARM Cortex A9 processor.

Fraud Detection service(github): Credit card fraud detection with AWS Sage maker and deployed on AWS Cloud9.

Forecasting Air pollution (github): Explored various models for forecasting time series and compared the performance of the models over two different metrics.

Heartbeat anomaly detection (nbviewer): Detected anomalies in 5000 time series sequences with 140 timestamps obtained with ECG and corresponds to heartbeats from a single patient using LSTM Auto-encoder.

When Music meets Data Science (github): What’s common between top songs on Spotify from 2010-19; Analyzed my personal Spotify streaming history; Analyzed music discographies of 2 of my favorite artists; etc.

Buy or Sell Stocks? (nbviewer): Predicted when to buy or sell stocks using simple dual moving average crossover strategy. And then backtested it over 5 years of stock.

Stock Market Analysis and Forecasting (github): Explored forecasting models based on Long Short Term Memory(LSTM) and Facebook’s Prophet in order to predict the future prices.

Blog

I write a data engineering blog at jithendray.github.io where I document my learnings in software and data engineering. I also once wrote a blog for data aspirant website.

Awards

Employee of the quarter @ NeenOpal (Issued for the Quarter April - June 2022)

MCM merit cum means based scholarship (BTech fees + stipend)

last updated

May 2023