Manoj Manivannan

Data Analyst Engineer & Data Science Enthusiast 

        
        ManojM ~ $


A Data Analyst Engineer based out of UK. I am passionate about Data analytics, engineering and Machine learning. A relatively private individual, with an ability to concentrate on the task at hand. Consistent and thoughtful. I work best with familiar processes and do things systematically. I am tolerant, easy-going, and uncritical in getting along with others.

I am enthusiastic about collaborating in data science, engineering and machine learning projects.

  • My works on Github here.
  • A simple International Space Station tracking application here - built using Streamlit.
    • The original source code of the app is here if you are interested.
  • Check out a Multivariate Time-Series prediction app using LSTM here - built using Streamlit.
PS: Please wait a few seconds for the Streamlit app to boot up.

✒ Professional Experience

Infovista Ltd UK - Data Analyst Engineer

Mar 2023 - Present

  • Led the design, development, and integration of data adapters, analytic metrics/KPIs and aggregators on cloud native* application to consume google protocol buffer SIP stream and provide business insights/reports on STIR/SHAKEN for telecom service providers, generating sales of around $2M in 18 months.
  • Troubleshooting and root cause analysis of data integrity failures on customer AWS clusters + create/modify CI/CD pipelines.
  • Data transformation troubleshooting on postgres and clichouse DB on AWS cluster
  • Gained deep knowledge of Linux operating systems, shell scripting and fair experience and exposure to containerization methods like Docker and Kubernetes for a cloud native software development.
  • Scrum master since 2020 & Manager of telecom analytics engineering team: Tech lead of Solution packages (Customer offerings) development

    • * because of NDA, I can't showcase any of my works here

    Infovista Italy S.R.L (formerly Empirix Italy S.R.L) - Data Analyst Engineer

    Feb 2018 - Mar 2023

    Data Optima Lab - Research Asst. Politecnico di Milano

    Oct 2016 - Oct 2017

    Developed a data-driven model to forecast the energy consumption of HVAC systems with around 85% accuracy. Models used include Artificial Neural Networks, Support Vector Machines, and Random Forests. The accuracy of short-term and long-term forecast was also compared. To find out more, check the publication at MDPI. To know more about the reseach activites at Data Optima Lab, click here.

    Hour Ahead AC consumption prediction Hour Ahead AC consumption prediction

    ✒ Skills

  • Python (Packages: Scikit-learn, pandas, numpy, matplotlib, PyTorch)
  • ETLs (proprietary methods)
  • SQL (Postgres, Clickhouse)
  • Shell scripting
  • Operating System: Windows & Linux
  • Experience with tools: Docker, Maven, AWS & Kubernetes, GCP, Apache Spark & Airflow fundamentals

    • ✒ Data Science & Analytics

    Combined Cycle Power Plant Regression using PyTorch

    Jun 2022

    Performed an exploratory data analysis, Principle component analysis and Linear Regression (PyTorch) on Combined Cycle Power Plant dataset from UCI Machine Learning Repository. Checkout the IPython Notebook here. If you wish to run the notebook, you can do so directly from Google Colab here.

    Data Exploration

    Linear Regression

    Health tracker dataset

    Mar 2021

    Performed an exploratory data analysis and Principle component analysis on health tracker dataset from my online course. Checkout the IPython Notebook here.

    Data Exploration

    Bike Sharing dataset

    Aug 2021

    Exploratory data analysis on Bike Sharing dataset from UCI machine learning library. Checkout the IPython Notebook here.

    Data Exploration

    Trend of bike riders Vs Temperature

    Regression Model

    Spearman Correlation SGD Regressor Linear Regressor

    COVID-19 Dataset

    Oct 2021

    Exploratory data analysis on COVID-19 dataset from OWID. Checkout the IPython Notebook here.

    Data Exploration

    Air Quality Dataset

    Oct 2021

    Time series prediction using AutoML library TPOT of Air Quality dataset. Checkout the IPython Notebook here.

    Time Series Prediction

    ✒ Education

    M. Sc - Energy Engg - Politecnico di Milano

    Sept 2014 - Oct 2017

    Piacenza, Italy

    Pursed my master's degree at Politecnico di Milano, Italy with a fully funded scholarship for two and half years. One of my course which dealt with analytic evaluation of building systems, especially heating and cooling got me interested data science, analytics and machine learning to perform energy consumption prediction of AC units in residential buildings. It was this time when I was associated with the Data Optima Lab as a Research assistant.

    B. Sc - Mechanical Engg - Anna University

    June 2008 - Aug 2012

    Chennai, India

    Pursed my bachelor's degree in Mechanical engineering at Rajalakshmi Engineering College, Chennai (Affliated with Anna University). Specializing in computational fluid mechanics and design of machines.

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